Subscribe to our weekly newsletters for free

Subscribe to an email

If you want to subscribe to World & New World Newsletter, please enter
your e-mail

Energy & Economics
Automated AI industry robot and robotic arms assembly in factory production. Concept of artificial intelligence for industrial revolution and automation manufacturing process NLP

Seven emerging technologies shaping the future of sustainability and innovation

by World & New World Journal

Introduction Technological innovation is accelerating at an unprecedented pace, reshaping how societies generate energy, transport people and goods, produce food, fight disease, and explore space. Across multiple sectors, groundbreaking solutions are emerging in response to global challenges such as climate change, public health threats, energy insecurity, and resource scarcity. This article examines seven transformative technologies — from wireless electric-vehicle charging roads and regenerative ocean farming to graphene applications and disease-eliminating robots — each demonstrating how science and engineering are redefining sustainability, resilience, and human capability in the 21st century. 1. Wireless Electric Vehicles Charging Roads Electric Vehicles (EVs) have become key technology to decarbonise road transport, a sector that accounts for over 15% of global energy-related emissions. The increase of their sales globally exceeded 17 million in 2024, and it is forecasted to surpass the 20 million units by 2025. (IEA, 2025) Source: IEA analysis based on country submissions and data from the European Automobile Manufacturers Association (ACEA), European Alternative Fuels Observatory (EAFO), EV Volumes and Marklines. Despite this growth, several concerns continue to slow down their widespread adoption. Limited charging infrastructure, battery-related autonomy issues, high purchase costs, slow charging times, and the environmental impact of the battery productions remain major obstacle. The broader EV industry, however, is actively developing new technologies to overcome these challenges. (Automotive Technology, 2025) In this context, one of the most pressing challenges is energy supply – specifically, the need for better batteries and more accessible charging points. To address this bottleneck, a promising new trend has emerged: wireless roads capable of charging EVs while they drive. This technology could fundamentally transform the charging experience and significantly reduce dependence on stationary chargers. The idea is simple, a system that supplies power to EVs while driving, using embedded inductive coils (wireless charging) or conductive rails on the road, in other words a dynamic or in-motion charging on the road. In fact, this technology already exists and there are several examples worth mentioning: - South Korea: introduced in 2013, the first road-powered electric vehicle network, in which electrical cables were buried below the surface and wirelessly transfer energy to the electric vehicles via magnetic resonance. An electrified road has the advantage of eliminating the plug-in infrastructure and vehicles usually require a smaller battery, reducing weight and energy consumption. In 2009, KAIST introduced the OLEV (online electric vehicle), a type of EV that uses wireless dynamic charging through inductive coils embedded in the road. The OLEV public transport buses were later used in the 2013 first electric road in the city of Gumi, which consisted of a network of 24 km, by 2015 the number of OLEV buses increased to 12 (Anthony, 2013) and another bus line was launched in Sejong that same year. (SKinno News, 2021)- Sweden: a 1.6 km road linking Stockholm Arlanda airport to a logistic site outside the capital city was a pilot project achieved in 2016. (The Guardian, 2018), (Carbonaro, 2022) However, the Swedish government didn’t stop there and by 2020 they built a wireless road for heavy trucks and buses in the island city of Visby, and they are planning to expand it to the 13-mile E20 highway – logistic hub between Hallsberg and Örebro – and even have a plan of further 3,000 km of electric roads in Sweden by 2035. (Min, 2023), (Dow, 203)- USA: a quarter mile (400 m) section of road through the Corktown area of Detroit was changed to a wireless electric road. Electreon was the company in charge of the project. (Paris, 2024), (6abc Philadelphia, 2025)- France, Norway and China: Electreon – a leading provider of wireless charging solutions for EVs – has partnered and gained projects for wireless highways in France – a section of the A10 highway (Electric Vehicle Charging & Infrastructure, 2023) –, Norway – evaluation of wireless charging for AtB’s BRT routes in Trøndelag (Foster, Electreon to install the first wireless electric road in Norway, 2023) – and China – not wireless but in an 1.8 km electrified highway in Zhuzhou. (Foster, China demonstrates electrified highway, 2023) While all these examples show a “tendency” to switch into wireless roads, it is important to highlight three points to keep that are decisive and have slowed down the transition: in first place, these wireless roads are being targeted mainly for freight trucks and buses, the second point is the initial cost of the infrastructure is high and third point is the technology that should be added to the EVs. 2. Fire Suppression Using Sound Waves Seth Robertson and Viet Tran, engineering students from George Mason University in Virginia designed a fire extinguisher that uses sound waves to put out flames. Their device emits low-frequency sound waves that disrupt the conditions necessary for a fire to sustain itself, meaning that no foam, powder, chemicals or water are needed to extinguish a fire, just sound. In order to understand how it can be possible to extinguish fire with sound it is necessary to remember that a fire needs heat, fuel and oxygen to survive, if one of these elements does not appears, there is no fire, under this principle, Robertson and Tran’s prototype uses sounds to separate the oxygen from the flame, as a result, the fire extinguish. The interesting part is that the sound must have the right frequency, specifically between 30 to 60 Hz – low frequency sounds. The sound waves will act as pressure waves moving the air molecules back and forth, and in the right frequency, the movement will disrupt the flames’ structure, separating the oxygen molecules and the fire will simply die out with the lack of these molecules. Potential applications include small kitchen fires or small fires, while unfortunately, large-scale structural or wildland fires still remain a challenge, mostly due to the environmental factors, like wind, air density and flame intensity, that can be a hurdle in uncontrolled environments. Moreover, the generation of low-frequency sound waves powerful enough to suppress fires requires a significant amount of energy. Nonetheless, an early prototype consists of an amplifier to generate low-frequency sound and a collimator to focus the sound waves directly on the fire, and as mentioned before, one limitation is that specialized equipment is required to produce the high-pressure sound waves. Still, research has been carried out recently and it is expected that this technology could be a non-destructive and less damaging method for firefighters soon. https://www.youtube.com/watch?v=uPVQMZ4ikvM 3. Regenerative Ocean Farming Regenerative ocean farming is a climate-friendly model of aquaculture where seaweed and/or shellfish are grown in a way that requires no freshwater, feed or fertilizer, as the crops naturally filter nutrients from the water and capture carbon and nitrogen. This farming model can benefit coastal ecosystems and communities by increasing food security, creating jobs, improving water quality, protecting coastlines, supporting ocean justice (Urban Ocean Lab, 2023) and most importantly, mitigating climate change. Ocean farming can rely on a polyculture system – cultivate a mix of shellfish and seaweeds – or just a single species system. While the climate conditions determine the species to grow, it does not affect the system itself. The system follows a vertical layer farming way, in which farms use ropes that extend vertically from the surface to the seabed, in addition to the use of different levels and cages for scallops, oysters or clams, for example, as shown in Figure 2. Other species like kelp, abalone, purple sea urchins or sea cucumbers can also be harvested. Figure 2: Ocean farming diagram. Source: Urban Ocean Lab The big advantage is the maximization of the ocean space, producing more food in a smaller footprint, in addition to the use of the benefits of the species – seaweed and shellfishes – which are both natural filters that help to clean the water and absorb excess nutrients, combating ocean acidification and reducing marine pollution (Hassan, 2024) naturally. Moreover, the versatility of these species allows them to use them in other areas, such as biofuels, soil fertilizers, animal feed or cosmetics and not only for human food. Around the world, there are several projects that have adopted this methodology (Hassan, 2024): 1. GreenWave (USA): increased biodiversity by 50%, reduced nitrogen level in water by 20% and created sustainable job opportunities for locals.2. Ocean’s Halo (Ireland): annual harvest of 500 tons of kelp, creation of 20 jobs in rural areas and carbon footprint reduction by 30%3. Kitasaku Marine (Japan): Nori production increased by 25%, coastal water quality improved by 15% and local support of 50 locals.4. Catalina Sea Ranch (USA): harvested 1 million pounds of mussels annually, increased local biodiversity by 20% and created 10 new jobs.5. Blue Ventures (Madagascar): harvested 146 tonnes of red seaweed, plus they have created a sea cucumber market with a value of $18,000 and 700 farmers have been trained to farm in the ocean. (Blue Ventures Conservation, 2015)6. Havhøst (Ocean Harvest) (Denmark): they are growing seaweed, mussels and the European flat oyster in 30 communities along the Danish coast. In addition, they focus on educational activities to introduce ocean farming to more people. (Waycott, 2022) Overall ocean farming creates a positive environmental impact; it provides a sustainable food source and economic opportunities for the local people and the industry. Of course it faces challenges, but it has become a way to mitigate climate change and protect the ocean. 4. Wave Energy Generators There are two types of waves. Surface waves are generated by a combination of wind passing over the sea’s surface raising up water and gravity pulling it back down. In a technical way, warm air rises and expands, creating areas of low pressure compared to places with cooler air. Air then moves from high-pressure areas to low-pressure areas. This movement of air is wind and when it rushes across the surface of the Earth it creates waves in oceans. (Lumley, 2025) On the other hand, underwater waves are sound waves produced by earthquakes or volcanic eruptions; these waves travel by compressing and expanding the water. (Kadri, 2025) In both cases temperature variations and other factors can affect the nature of the waves. For instance, wave energy or wave power harnesses the ocean’s waves to generate energy by converting a wave’s kinetic energy into electricity. Wave power is a form of renewable and sustainable energy which has potential cost benefits over solar and wind but faces technological challenges limiting its large-scale adoption in electricity generation and water desalination. (Lumley, 2025) The nature of the waves makes wave energy the world’s largest source of energy with a potential of annual global production of 29,500 TWh, according to the Intergovernmental Panel on Climate Change (IPCC, 2012). In addition, it works well in tandem with other renewables such as wind. (Ocean Energy Europe, s.f.) In terms of technology itself, wave energy has relied on the next devices: 1. Point absorbers: floating buoys that capture the vertical movement of waves, which then is harnessed through a cable anchored to the seabed. The vertical movement of the waves is subsequently transformed into electricity via converters (alternators, generators or hydraulic systems). These are usually mounted on the seabed in shallower water and are connected to the floating buoys.2. Oscillating water columns (OWCs): a partially submerged, hollow structure connected to an air turbine through a chamber. These devices use the rise and fall of the waves to compress air, the air is forced to move back and forth in the chamber and creates a strong air flow that powers the turbine, generating electricity.3. Overtopping devices: a floating structure made of segments linked together, which lifts up and down with the waves. These devices harness wave energy by allowing waves to flow into a reservoir, which then releases the water through turbines to generate electricity. Design, flow dimensions, turbine efficiency and structural elements influence their efficiency. Source: BKV Energy Despite its huge potential and considering it as a clean energy source with no GHG emissions, the main concern related to wave energy is the marine life affectation – including habitat alteration, noise pollution or collision risks for marine life. On the other hand, high costs, complex design, maintenance and technological constraints also have become a problem, still, the potential of this continuous energy is huge compared to the more limited wind energy, for example. (Lumley, 2025) Despite all that, there are some active projects being developed in different parts of the world, for example: Azura Wave Power (tested in Hawaii), Anaconda WEC (UK’s prototype), CalWave (in California), CETO (tested in Australia and expected to be tested in Spain too), Crestwing (tested in Denmark), HiWave-5 (Swedish-based tested in Portugal), the Wave Energy Program (in India) or the Ocean Grazer WEC (developed in The Netherlands), among many others. (Wikipedia, 2019) 5. SpinLaunch SpinLaunch is a spaceflight technology development company working on mass accelerator technology to move payloads to space. This innovative space company is known for their Meridian Space and their Suborbital Accelerator. The Meridian Space is a low-cost, highly differentiated LEO satellite communications constellation which offers speed, reliability and flexibility (SpinLaunch, 2025). The company has partnered, and investments have been achieved in order to launch 280 satellites (Berger, 2025) as part of their satellite constellation, which will satisfy the needs in any area needed such as maritime, national security, communications, corporate networks, aviation, military, etc. The highlight of these satellites is their mass that is only 70 kg, and its facility to be launched in one or two rockets. On the other hand, SpinLaunch is aiming to build a kinetic launch system that uses centrifugal force instead of traditional rockets and spins a rocket around at speeds up to 4700 mph (7,500 km/h) before sending it upward toward space. At 60 km or so altitude, the rocket would ignite its engines to achieve orbital velocity. To achieve this, they have built a Suborbital Accelerator prototype, in Spaceport America, New Mexico. This prototype is a 33-meter vacuum chamber that can launch payloads from 800 to 5000 mph. Several tests have already been carried out, being the 10th the latest on September 27th, 2025. (Young, 2025) SpinLaunch hopes to have a 100-meter Orbital Lauch system by 2026. The engineering behind these systems is as follows: both systems are circular accelerators, powered by an electric drive that uses a mechanical arm to sling payloads around in circles to reach incredibly high speeds of up to 5,000 mph. They then release the payload through a launch tube and spaceward. (Young, 2025) The company claims that their method is cheaper as it eliminates 70% of the fuel compared to the traditional rocket launch, in addition, the infrastructure is less, and it is more environmentally friendly than the traditional methods. However, the limitations are seen in the payload weight (no more than 400 kg per payload) and their resistance (payloads must be able to withstand up to 10,000 G’s of force during the centrifugal acceleration process) Source: SpinLaunch. 6. Disease-Eliminating Robots “Disease-eliminating robots” encompass a diverse set of robotic and AI-driven systems designed to prevent, monitor, and treat infectious diseases while minimizing human exposure to risk. These technologies operate at multiple scales — from environmental disinfection in hospitals to microscopic interventions inside the human body. Environmental disinfection robots are among the most established applications. Devices such as Xenex and UVD Robots utilize pulsed ultraviolet (UV-C) light to destroy viral and bacterial DNA, effectively sterilizing hospital rooms within minutes (UVD Robots, 2023; Xenex, 2024). Others deploy vaporized hydrogen peroxide (VHP) to disinfect enclosed environments like train carriages and operating rooms (WHO, 2022). These systems substantially reduce hospital-acquired infections (HAIs) and cross-contamination risks. In medical and clinical settings, robotics contribute to precision and safety. Surgical robots such as Intuitive Surgical’s da Vinci and Ion platforms enable minimally invasive operations with reduced infection risk and faster recovery times (Intuitive Surgical, 2024). At the microscopic level, nanorobots are under development for targeted drug delivery, capable of navigating the bloodstream to deliver chemotherapy agents directly to tumor sites, thereby minimizing systemic side effects (Lee et al., 2023). Meanwhile, biofilm-removing microbots are being engineered to eradicate bacterial colonies on medical implants and dental surfaces (Kim et al., 2022). Automated systems are also emerging for precise injections, such as intravitreal therapies for ocular diseases, helping reduce clinician workload and human error (Zhou et al., 2024). Beyond clinical contexts, robots support public health surveillance and disease prevention. Prototypes like MIT’s “Luigi” sewage-sampling robot autonomously collect wastewater data to monitor community-level infections and anticipate outbreaks (MIT News, 2025). In precision agriculture, AI-guided robotic systems detect infected crops early, controlling plant disease spread and protecting global food security (FAO, 2023). Collectively, these robotic systems demonstrate the increasing convergence of automation, biotechnology, and artificial intelligence in safeguarding human and environmental health. By taking on tasks that are dangerous, repetitive, or biologically hazardous, disease-eliminating robots represent a pivotal advancement in the global strategy for infectious disease control and public health resilience. 7. Graphene Graphene is the world’s thinnest material, consisting in a single layer of carbon atoms arranged in a hexagonal honeycomb lattice. Despite its thinnest it is stronger than steel and diamond. In addition, graphene is flexible, transparent, conductive, light, selectively permeable and a 2D material. In summary it is a versatile material with many different applications and that has gained attention since its isolation in 2004 by Russian and Nobel prize scientists Andre Geim and Konstantin Nocoselov. (Larousserie, 2013) The characteristics of graphene make them an important player in the energy, construction, health and electronics sectors. In a deeper analysis, its high conductivity is valuable for battery life, autonomy and energy efficiency. Its lightness is suitable for manufacturing drone batteries, which reduce their weight, and the drone’s weight too. Graphene’s transparency and flexibility could be used in screen devices including cell phones, televisions or vehicles – Samsung already produced a flat screen with graphene electrodes. In addition, its high resistance and excellent heat and electric conductivity make them valuable for the light industry. Other sectors that are beneficial from graphene include the construction and manufacturing sector. For example, adding 1 g of graphene to 5 kg of cement increases the strength of the latter by 35%. Another example refers to Ford Motor Co., that is adding 0.5% of graphene to increase their plastic strength by 20%. (Wyss, 2022) Graphene has become a promising material, and it has been studied and tested to be used as a replacement or equivalent of silicon in microelectronics. It has been used in sports, like tennis rackets made by Head or in electric cars concepts like BASF and Daimler-Benz Smart Forvision. Bluestone Global Tech partnered with mobile phone manufacturers for the first graphene-based touchscreen to be launched in China. (Larousserie, 2013) Paint with graphene for a better thermal regulation in houses; bones, prosthesis, hearing aids or even diagnosis of diseases could also rely on graphene. (Repsol, 2025) Nowadays, its costs are high, but the graphene is going through a moment of intense academic research that surely in some years will end up with even more promising results and applications. Conclusion Together, these seven emerging technologies form a powerful snapshot of the future. Their diversity — spanning transportation, renewable energy, aquaculture, aerospace, robotics, and advanced materials — reflects the multi-sectoral nature of today’s global challenges. Yet they share a common purpose: to create more sustainable, efficient, and resilient systems capable of supporting a rapidly changing world. Wireless charging roads challenge the limits of mobility; ocean farming and wave energy reimagine how we use marine ecosystems; SpinLaunch and graphene redefine what is physically possible; and disease-eliminating robots transform public health. These innovations are still evolving, but they show that the solutions to some of humanity’s most pressing problems already exist — they simply need investment, scaling, and political will. By embracing these technologies and continuing to pursue scientific discovery, societies can accelerate the transition toward a cleaner energy future, safer communities, healthier ecosystems, and a more equitable and technologically advanced world. References 6abc Philadelphia. (2025, Juky 11). Electric vehicle tech: The rise of wireless charging roads. Retrieved from YouTube: https://www.youtube.com/watch?v=9NzJO67JIUE Abing, H. (n.d.). The Sonic Fire Extinguisher That’s Changing Firefighting. Retrieved from Rareform Audio: https://www.rareformaudio.com/blog/sonic-fire-extinguisher-sound-waves Anthony, S. (2013, August 6). World's first road-powered electric vehicle network switches on in South Korea. Retrieved from ExtremeTech: https://www.extremetech.com/cars/163171-worlds-first-road-powered-electric-vehicle-network-switches-on-in-south-korea Automotive Technology. (2025). What Are the Biggest Challenges Facing Electric Vehicle Adoption Today? Retrieved from Automotive Technology: https://www.automotive-technology.com/articles/what-are-the-biggest-challenges-facing-electric-vehicle-adoption-today BBC Earth. (2023, March 3). Are Underwater Farms the Future of Food? | Our Frozen Planet | BBC Earth. Retrieved from YouTube: https://www.youtube.com/watch?v=93nk2xIRcbk&t=11s Berger, E. (2025, April 4). SpinLaunch—yes, the centrifuge rocket company—is making a hard pivot to satellites. Retrieved from Ars Technica: https://arstechnica.com/space/2025/04/spinlaunch-yes-the-centrifuge-rocket-company-is-making-a-hard-pivot-to-satellites/ Blue Ventures Conservation. (2015). Community-based aquaculture. Pioneering viable alternatives to fishing. Retrieved from Blue Ventures: https://blueventures.org/wp-content/uploads/2021/03/BV-Aquaculture-Factsheet-2015.pdf Carbonaro, G. (2022, June 24). Wireless charging for electric cars is already here - but the technology isn’t for everybody yet. Retrieved from euro news: https://www.euronews.com/next/2022/06/24/wireless-charging-roads-for-electric-cars-ev-technology-is-here-fiat-stellantis Dow, C. (203, May 16). Sweden will build the world's first EV charging road. Retrieved from TopGear: https://www.topgear.com/car-news/electric/sweden-will-build-worlds-first-ev-charging-road Electric Vehicle Charging & Infrastructure. (2023, July 20). Electreon, together with Vinci, wins tender for first wireless electric road in France. Retrieved from Electric Vehicle Charging & Infrastructure: https://www.evcandi.com/news/electreon-together-vinci-wins-tender-first-wireless-electric-road-france Ellen MacArthur Foundation. (2024, March 20). 3D Ocean Farming | Transforming tradition. Retrieved from YouTube: https://www.youtube.com/watch?v=6PqvHaaL6EQ&t=225s Emergent Team. (n.d.). Using Sound Waves to Put Out Fire: The Story of Two George Mason University Students. Retrieved from Emergent: https://www.emergent.tech/blog/sound-waves-to-put-out-fire FAO. (2023). AI and Robotics in Precision Agriculture: Combating Plant Diseases. Foster, J. (2023, March 29). China demonstrates electrified highway. Retrieved from Electric Vehicle Charging & Infrastructure: https://www.evcandi.com/news/china-demonstrates-electrified-highway Foster, J. (2023, June 28). Electreon to install the first wireless electric road in Norway. Retrieved from Electric Vehicle Charging & Infrastructure: https://www.evcandi.com/news/electreon-install-first-wireless-electric-road-norway George Mason University. (2015, February 6). Pump Up the Bass to Douse a Blaze: Mason Students' Invention Fights Fires. Retrieved from YouTube: https://www.youtube.com/watch?v=uPVQMZ4ikvM Greenwave. (2025). Regenerative Ocean Farming. Retrieved from Greenwave: https://www.greenwave.org/our-model Hassan, T. (2024, October 15). Vertical Ocean Farming. Retrieved from AgriNext Conference: https://agrinextcon.com/vertical-ocean-farming-sustainable-and-shellfish/ IEA. (2025). Electric Vehicles. Retrieved from IEA: https://www.iea.org/energy-system/transport/electric-vehicles Intuitive Surgical. (2024). da Vinci and Ion Robotic Systems Overview. IPCC. (2012). Renewable Energy Sources and Climate Change Mitigation. Retrieved from IPCC: https://www.ipcc.ch/site/assets/uploads/2018/03/SRREN_Full_Report-1.pdf Kadri, U. (2025, April 7). Wave energy’s huge potential could finally be unlocked by the power of sound – new research. Retrieved from The Conversation: https://theconversation.com/wave-energys-huge-potential-could-finally-be-unlocked-by-the-power-of-sound-new-research-253422 Kim, J. et al. (2022). “Microbotic Eradication of Biofilms on Medical Implants.” Nature Biomedical Engineering, 6(11), 1215–1226. Larousserie, D. (2013, November 22). Graphene - the new wonder material. Retrieved from The Guardian: https://www.theguardian.com/science/2013/nov/26/graphene-molecule-potential-wonder-material Lee, S. et al. (2023). “Nanorobotic Drug Delivery Systems for Cancer Therapy.” Science Advances, 9(4), eabq1234. Lumley, G. (2025, March). What Is Wave Power? Retrieved from BKV Energy: https://bkvenergy.com/learning-center/what-is-wave-energy/ MIT News. (2025). “Luigi: A Robot for Wastewater Epidemiology.” Min, R. (2023, July 06). Sweden is building the world's first permanent electrified road for EVs to charge while driving. Retrieved from euro news: https://www.euronews.com/next/2023/05/09/sweden-is-building-the-worlds-first-permanent-electrified-road-for-evs NOAA. (n.d.). 3D Ocean Farming. Retrieved from NOAA: https://oceantoday.noaa.gov/fullmoon-3doceanfarming/welcome.html Ocean Energy Europe. (n.d.). Wave energy. Retrieved from Ocean Energy Europe: https://www.oceanenergy-europe.eu/ocean-energy/wave-energy/#:~:text=Wave%20energy%20technology Paris, M. (2024, January 31). Wireless charging: The roads where electric vehicles never need to plug in. Retrieved from BBC: https://www.bbc.com/future/article/20240130-wireless-charging-the-roads-where-electric-vehicles-never-need-to-plug-in Porter, A. (2024, June 20). What is Aquaculture? An Overview of Sustainable Ocean Farming. Retrieved from PBS: https://www.pbs.org/articles/a-guide-to-hope-in-the-water-and-aquaculture Repsol. (2025). An innovative and revolutionary material. Retrieved from Repsol: https://www.repsol.com/en/energy-move-forward/innovation/graphene/index.cshtml SKinno News. (2021, July 8). Charging while driving – electrified road for electric vehicles. Retrieved from SKinno News: https://skinnonews.com/global/archives/6253 SpinLaunch. (2025). Pioneering The Next Generation of Satellite Broadband. Retrieved from SpinLaunch: https://www.spinlaunch.com/meridianspace The Guardian. (2018, April 12). World's first electrified road for charging vehicles opens in Sweden. Retrieved from The Guardian: https://www.theguardian.com/environment/2018/apr/12/worlds-first-electrified-road-for-charging-vehicles-opens-in-sweden Urban Ocean Lab. (2023, November). What is Regenerative Ocean Farming? Retrieved from Urban Ocean Lab: https://urbanoceanlab.org/resource/regenerative-ocean-farming-factsheet UVD Robots. (2023). Next-Generation UV-C Disinfection Systems for Hospitals. Waycott, B. (2022, January 10). Regenerative ocean farming is trending, but can it be a successful business model? Retrieved from Global Seafood Alliance: https://www.globalseafood.org/advocate/regenerative-ocean-farming-is-trending-but-can-it-be-a-successful-business-model/ WHO. (2022). Guidelines on Hydrogen Peroxide Disinfection in Healthcare Settings. Wikipedia. (2019, June). List of wave power projects. Retrieved from Wikipedia: https://en.wikipedia.org/wiki/List_of_wave_power_projects Wyss, K. (2022, November 29). Graphene is a proven supermaterial, but manufacturing the versatile form of carbon at usable scales remains a challenge. Retrieved from The Conversation: https://theconversation.com/graphene-is-a-proven-supermaterial-but-manufacturing-the-versatile-form-of-carbon-at-usable-scales-remains-a-challenge-194238 Xenex. (2024). LightStrike Germ-Zapping Robot: Clinical Outcomes and Use Cases. Young, C. (2025, October 18). SpinLaunch just catapulted a NASA payload into the sky for the first time. Retrieved from Interesting Engineering: https://interestingengineering.com/innovation/spinlaunch-catapulted-a-nasa-payload Zhou, Y. et al. (2024). “Automated Injection Robots for Ophthalmic Care.” Frontiers in Medical Robotics, 5(2), 45–57.

Energy & Economics
Brazil and USA relations, chess pawns with national flags - 3D illustration

Brazil’s Seven Strengths that Enable Brazil to challenge the US & US President Trump

by World & New World Journal

 I. Introduction On October 6, 2025, Brazilian President Luiz Inacio Lula da Silva had a phone call with US President Donald Trump. Two leaders spoke for 30 minutes. During the call, they exchanged phone numbers in order to maintain a direct line of contact, and President Lula reiterated his invitation for Trump to attend the upcoming climate summit in Belem, according to a statement from Lula’s office. At the UN General Assembly in New York on September 23, 2025, two leaders had a brief, unscheduled meeting. President Trump commented that he had “excellent chemistry” with his Brazilian counterpart. Even Trump told reporters that President Lula liked me, I liked him. This Trump’s comment has been interpreted by some analysts as a potential thawing in recent frozen US-Brazil relations. This apparently friendly call and comments from President Trump may signal a turnaround in relations between the two leaders, which have been strained in recent months. Trump and Lula have been at loggerheads since July 2025, when the US leader imposed 50 percent tariffs on Brazilian exports. In announcing those tariffs on Brazil, Trump cited what he described as a “fraudulent” prosecution of former Brazilian President Jair Bolsonaro. In addition to sky-high tariffs, Trump tried to further pressure Lula to drop the Bolsonaro case by hitting Brazilian supreme court justices with visa bans and slapping financial sanctions on the judge overseeing the case – Alexandre de Moraes. Ultimately, however, Brazil went ahead with Bolsonaro’s prosecution, and the former president was convicted. Why did President Trump suddenly soften his stance towards Lula now? Trump’s softer tone may have been prompted by hard economic realities in US, according to Pantheon Macroeconomics’ chief economist, Andres Abadia. The US depends heavily on Brazil for its coffee and meat imports, and both have taken a hit amid the tariff war. The result: prices have shot up. Brazil is the largest source of imported coffee for the US – responsible for $1.33billion out of the $7.85billion total coffee imports by the US in 2023, according to the Observatory of Economic Complexity. But since the 50 percent tariffs kicked in, Cecafe, Brazil’s council of coffee exporters, said that exports to the US fell by 46 percent in August 2025 and had dropped 20 percent more by September 19, 2025. Amid that supply crunch, coffee prices in the US rose 21 percent in August 2025 compared with a year earlier, even as overall food price inflation hovered at about 3 percent, according to the US Bureau of Labor Statistics. “The prospect of higher coffee prices,” Abadia said, “would be definitely bad for President Trump.”[1]  Brazil is also the US’s third-largest source of imported meat behind Australia and Canada, according to the US Department of Agriculture. “As with coffee, higher beef prices would hit President Trump,” Abadia told Al Jazeera. Beef and veal prices rose by almost 14 percent in August 2025 compared with a year earlier, according to the US Bureau of Labor Statistics. According to a new survey published on September 29, 2025, by the New York Times and Siena University, President Trump’s approval ratings have fallen recently, with 58 percent of respondents saying they think the country is headed in the wrong direction. “Inflation is definitely biting in the US,” says Abadia. “And anything that can be done to ease the pain, especially as we approach the holiday season, would be seen as positive.” [2] By contrast, Brazil appears to have weathered Trump’s tariffs better than the US has expected: Its overall exports grew in September 2025, compared with a year earlier, as it expanded its offerings to other markets, including China and Argentina. Lula’s feud with Trump has boosted his popularity, and Washington’s interventions in Brazilian politics have put the country’s conservatives on the back foot. Before next year’s presidential election, Lula is currently polling ahead of his top opponents, although the 79-year-old President has not formally announced his bid.  Abadia believes that there is an opportunity for rapprochement between the two leaders. The most fertile area for compromise may lie in rare earth minerals. Brazil has the world’s third-largest reserves behind China and Vietnam. And for now, they remain largely untapped. “Critical minerals are one area where bilateral interests align,” he said. “The US wants to diversify away from China and play an important role in the Brazilian market.” [3] Trump has shown a clear interest in rare earths, placing them at the heart of his deal with Ukraine, for instance. Brazil, on its part, wants to emerge as an exporter and supplier of these minerals. “Clearly,” noted Abadia, “that would be a positive for cooperation.”  [4] With these episodes in mind, this paper examines why Brazil can challenge US President Trump and force him to soften his position on Brazil. In doing so, this paper explores seven strengths that enables Brazil to challenge the US as well as US President Trump. Brazil’s seven strengths are as follows: 1. niobium; 2. rare earth; 3. agriculture; 4. oil; 5. ethanol; 6. aircraft industry; 7. leader of BRICS. II. Overview of Brazil Brazil, officially the Federative Republic of Brazil, is the largest country in South America. Brazil is also the world’s fifth-largest country by area and the seventh-largest by population, with over 213 million people. The country is a federation composed of 26 states and a Federal District, which hosts the capital, Brasília. Its most populous city is São Paulo, followed by Rio de Janeiro. Brazil has the most Portuguese speakers in the world and is the only country in the Americas where Portuguese is an official language. [5] Brazil is a founding member of UN, the G20, BRICS, G4, Mercosur, Organization of American States, Organization of Ibero-American States, and the Community of Portuguese Language Countries. Brazil is also an observer state of the Arab League and a major non-NATO ally of the US.  Brazil is a rising global power. As Figure 1 shows, Brazil is the 8th largest economy in the world in PPP terms and the largest economy in Latin America.    Figure 1: Brazil is the 8th largest economy in the world (source: IMF) Brazil is one of the world giants of mining, agriculture, and manufacturing, and it has a strong and rapidly growing service sector. Brazil is a leading producer of a host of minerals, including iron ore, tin, bauxite (the ore of aluminum), manganese, gold, quartz, and diamonds and other gems, and it exports vast quantities of steel, automobiles, electronics, and consumer goods. Brazil is the world’s primary source of coffee, oranges, and cassava (manioc) and a major producer of sugar, soy, and beef. The city of São Paulo, in particular, has become one of the world’s major industrial and commercial centers.[6] However, Brazil has a lot of domestic problems. Income inequality is very high. As Figure 2 shows, Brazil is one of world’s highest unequal countries along with other Latin American and African countries. The most common tool used to measure different types of inequality is the Gini Coefficient. The Gini Coefficient represents inequality on a scale where 0 equals perfect equality (where everyone has the same wealth, for example). At the other end of the scale, 100 equals a situation of perfect inequality: One person has all the wealth, and no one else has any. Fortunately, income inequality in Brazil, as measured by the Gini index, has dropped. Income inequality in Brazil reached the lowest level in 2024 since the historical series began in 2012, according to Brazilian Institute of Geography and Statistics. Last year, the Gini index dropped to 0.506, a 2.3% decrease from the 0.518 recorded in both 2023 and 2022. [7] Nonetheless, Brazil’s income inequality is still very high.   Figure 2: which countries are most unequal. (source: Statista) Moreover, crime rate in Brazil has been very high. Brazil had the seventh-highest crime rate in the world in 2020. Brazil’s homicide rate was 23.6 homicides per 100,000 inhabitants in 2020. Brazil’s most massive problem remains organized crime, as it has expanded in recent years, and violence between rival groups is common. Drug trafficking, corruption, and domestic violence are all pervasive issues in Brazil. [8] Luckily the ranking of Brazil’s crime rate was down in 2024. As Figure 3 & Table 1 show, Brazil became a country with the 15th highest crime rate in the world   Figure 3: Crime rate by country, 2024 (source: World population review) Table 1: Highest crime rate countries in the world, 2024 (source: World population review)   III. Brazil’s Seven Strengths that challenge the US and US President Trump 1. Brazil’s Dominance of Niobium in the world Brazil is one of the world giants of mining. It is a leading producer of a host of minerals, including iron ore, tin, bauxite, manganese, gold, quartz, and diamonds. In particular, Brazil leads the world in reserves and production of niobium as Figure 4 & 5 show.   Figure 4: niobium reserves worldwide by country, 2021 (source: USGS)   Figure 5: production of niobium worldwide by country, 2024 (source: Statista) Brazil holds an overwhelming lead, accounting for 90% of global niobium reserves and approximately 85% of its global production. Canada is the sole major producer, supplying most of the remaining 15%. As Figure 6 shows, in 2023, the Brazilian company Companhia Brasileira de Metalurgia e Mineracao (CBMM) supplied 76% of global niobium production, followed by the Chinese-owned CMOC, which supplied 11%. The world’s largest deposit is located in Araxa, Brazil and is owned by CBMM. The reserves are enough to supply current world demand for about 500 years, about 460 million tons. Another pyrochlore mine in Brazil is owned and operated by the CMOC and contains 18 million tons, based on a grade of 1.34% niobium oxide. Canadian production is from one mine. Much smaller production, usually as mixed Nb–tantalum (Ta) ores, comes from Australia and sub-Saharan Africa. The US has had negligible niobium production since 1959, and imported about 9.4 kt (thousand tons) of niobium in 2023. [9]    Figure 6: Niobium mine supply, 2000 to 2023. source: SFA (Oxford) Niobium (Nb, formerly known as columbium) is a rare metal that is included on the 2022 US Geological Survey’s Critical Minerals List. This light gray crystalline metal is primarily used in alloys with iron (Fe) as ferro niobium to increase the strength, corrosion resistance, and temperature resistance of steel. It is also found in specialty superconducting magnets such as those found in medical MRI instruments. The extraordinary properties of niobium have rendered it indispensable across a broad spectrum of industrial and technological applications. Its significance became evident in the mid-1930s when niobium was first employed to stabilize stainless steel against corrosion. Later, in the late 1950s and early 1960s, niobium's breakthrough role as a microalloying element (MAE) for steel, typically in the range of 0.05–0.15 wt.%, further solidified its importance. The importance of niobium as an MAE is underscored by its ability to enhance material properties such as high heat and corrosion resistance, increased strength, reduced density, exceptional conductivity, and enhanced biocompatibility. Its presence is essential in the construction of steel structures, including bridges, buildings, pipelines, offshore platforms, and automotive components, where it is predominantly employed as an MAE (∼90 %). [10] Furthermore, niobium plays a central role in the production of superalloys, holding significant importance in aerospace and power generation technologies. Its exceptional conductive properties also find applications in the healthcare industry, such as in MRI machines and in research institutions. Currently, niobium is finding exciting new applications in the transition to low-carbon energy solutions, and it is already a key component in wind turbines. Ongoing research into niobium-based rechargeable batteries holds the potential for further advancements in sustainable energy technologies, and it is being explored for use in solar panels and smart glass that can filter sunlight radiation and control the amount of light and heat entering buildings. [11]  From its applications in defense systems, where its unique properties are irreplaceable, to its pivotal role in green technologies and infrastructure, niobium’s economic and strategic significance is undeniable. Niobium is essential for the advancement of low-carbon and green technologies. Its classification as a critical mineral stems from both its vital applications and the concentrated nature of its supply. One of its most impactful uses is in steelmaking. The addition of just 0.1% niobium to steel produces high-strength, low-alloy (HSLA) variants, allowing for the construction of lighter, more durable structures. This reduces the quantity of material required, as well as contributes to lower carbon emissions. HSLA steels are particularly valuable for building pipelines, wind turbine towers, and hydrogen gas transmission infrastructure. [12] Niobium’s contribution to renewable energy systems is also important. Its excellent strength-to-weight ratio makes it vital for wind turbine frames, while in solar and hydrogen technologies, it boosts the efficiency of solar cells and enhances the longevity of hydrogen fuel cells. In sustainable manufacturing, niobium supports the production of high-performance components via 3D printing, reducing both weight and material waste. [13] The criticality of niobium is largely due to its concentrated supply. Approximately 90% of global niobium production comes from Brazil, with Canada as the only other significant producer. The US has had no domestic production since 1959, and both the US and EU rely wholly on imports. Beyond its scarcity, niobium is difficult to substitute. It is a core material in the defense and aerospace sectors, used in jet engines, missiles, and military systems where few or no viable alternatives exist. Niobium plays a crucial role in advanced materials and high-performance applications, with demand primarily driven by its use in steel, strategic industries, and emerging technologies. Steel alone accounts for 85–90% of global niobium consumption, serving as a microalloying element to enhance strength, toughness, and weldability. As global regulations increasingly push industries towards lighter and stronger materials, average niobium intensities in steel manufacturing are rising.  Currently China is the world’s largest consumer of niobium, with demand propelled by its infrastructure development and car production growth. Steel remains the backbone of niobium usage, with high-strength, low-alloy (HSLA) and structural steels accounting for the majority share through to 2035. Nevertheless, demand from other sectors, such as aerospace and electronics, is steadily increasing. In particular, interest in niobium for use in batteries is growing, although its uptake heavily depends on the successful commercialization of early-stage niobium-based technologies. Despite steel’s continued dominance, emerging applications begin to expand niobium’s demand profile. The CBMM, the world’s leading niobium producer, primarily shaped the supply landscape. The company’s strategy centers on aligning production with demand, allowing it to scale output flexibly in response to market needs. This responsive model, however, could pose challenges for new niobium projects seeking investment, as CBMM’s dominant position reduces incentives for alternative supply. Anticipating a significant rise in demand—particularly from battery markets, which are projected to account for 25% of company revenues by 2030—CBMM has already increased its output of battery-grade niobium. [16] Niobium’s potential in the battery space hinges on its ability to compete with established technologies. Niobium-based anodes offer high-speed charging and long cycle life, often exceeding tens of thousands of cycles. However, their lower energy density than graphite or silicon anodes poses a challenge, especially for electric vehicle applications where energy density is critical. To achieve broader adoption, niobium battery technologies must overcome this performance gap and significantly reduce costs through economies of scale or further technological innovation. In May 2018, President Trump recognized a group of 35 ‘basic’ minerals considered necessary to US national and economic security, which are to be produced nearby. This order follows Trump’s ‘America first’ initiative to reduce US dependence on imported natural resources, with a US Geological Survey (USGS) report reasoning that 20 of the 23 elementary minerals are sourced from China. Niobium is one of these minerals and was recognized as both critical and essential mineral, indicating its significance to the US, even though it’s not an easy mineral to extract and process. [17] Niobium’s qualities make it one of the top 8 strategic raw materials considered indispensable. Niobium has been deemed important to the US’s national welfare in part due to their inherent military and industrial potential. Jeffery A. Green, the president of a bipartisan government-relations firm in Washington DC and a former US Air Force commander, wrote in Defense News that, “with no access to such minerals, including niobium, our precision-guided missiles will not hit their targets, our aircraft and submarines will sit unfinished in depots, and our war-fighters will be left without the equipment they need to complete their missions.”  The scarcity of niobium means that the vast majority is currently imported. The report notes that niobium has not been mined in the US since 1959. Niobium is now imported from Brazil and Canada only. [18] Vacuum-grade niobium’s role in aerospace is not a newfound revelation. Its unparalleled resilience against extreme thermal stresses, withstanding temperatures over 2,400 degrees Celsius, renders it indispensable for critical components in hypersonic vehicles. Beyond its inherent properties, niobium’s crucial role lies in its use for crafting heat-resistant superalloys essential for hypersonic missiles and the broader aerospace sector. Its low density compared to other refractory metals contributes to a high strength-to-weight ratio, which is essential for reducing the weight of aerospace components. This reduction in weight directly impacts fuel efficiency and payload capacity, two critical factors in aerospace design. For example, companies like SpaceX and Hermeus rely on niobium C103 for their spacecrafts, which require extremely high temperatures that surpass that of other superalloys. [19] For decades, niobium has played a pivotal role in the US aerospace industry, with its notable use in the innovative designs of the iconic Gemini and Apollo programs of the 1960s and 70s. However, despite its significance, the US depends entirely on niobium imports, with no substantial domestic mining since 1959. This dependence introduces a severe risk to its supply chain. Of the estimated 8,800 metric tons imported annually in 2022, a significant majority comes from Brazil (66%) and Canada (25%). This heavy reliance on just two primary sources—both neighbors of the US—exposes the US to considerable national security and economic vulnerabilities. The situation becomes even more precarious considering China’s dominant position in the niobium sector and its growing footprint in the hemisphere.  China has recognized the potential of niobium for over a decade. In 2011, a consortium of five Chinese firms acquired a 15 percent stake in CBMM. This engagement intensified in 2016 when China Molybdenum Co. Ltd. (now known as CMOC) secured ownership of the Chapadão and Boa Vista mines, further strengthening China’s position in the niobium market. The importance of niobium was further highlighted in the Brazilian political arena in 2018. Then presidential candidate Jair Bolsonaro emphasized niobium’s role in Brazil’s economic independence. Despite Bolsonaro’s campaign rhetoric focusing on safeguarding this critical commodity from foreign control and advocating for its national governance, Chinese influence in the Brazilian niobium sector continued to grow. By 2020, Chinese entities controlled approximately 26 percent of Brazil’s niobium production. This control not only ensures China’s preferential access and influence over pricing dynamics in the niobium supply chain, but also positions it advantageously in a global context.  China managed to maintain and even strengthen its position at the subnational level under President Bolsonaro. CMOC, for example, provided $1.2 million in Covid-19 aid to the city of Catalão, demonstrating China’s strategic engagement beyond mere commercial interests. China’s influence over Brazil’s niobium production conforms to a pattern of growing ownership and sway over the regional mining industry, a trend with substantial environmental, political, and security implications. Such tactics could force nations into making diplomatic compromises, ceding trade advantages, or grappling with economic dilemmas, thereby solidifying China’s geopolitical standing. The US is not immune to this exposure; the US Geological Survey in 2022 identified niobium as the second most critical of 50 minerals, falling behind only gallium in its criticality to US national security and economic growth. [22] Facing such formidable challenges, the US cannot afford to remain a passive observer. Safeguarding its strategic interests and maintaining its global position demands a comprehensive and multifaceted critical mineral strategy, in particular in securing niobium supplies. Incorporating Brazil into the 13-nation Mineral Security Partnership (MSP) could significantly fortify the global niobium supply chain. The MSP represents a concerted multinational endeavor to develop environmental, social, and governance (ESG) standards and bolster investments in critical mineral supply chains, an initiative that aligns well with the strategic interests of both Brazil and the broader international community. Brazil’s inclusion would make it the first Latin American country to enter the partnership, signaling its regional leadership and increase in international stature. The integration of Brazil into this partnership is particularly strategic, considering its substantial niobium reserves, in addition to its other critical mineral deposits. This move would add a robust layer of security against potential supply disruptions. [23] President Luiz Inácio Lula da Silva’s government, with its strong emphasis on ESG standards, is likely to find the MSP’s principles congruent with its policy priorities. The MSP’s emphasis on elevating global standards in these areas could resonate with Lula’s progressive agenda, potentially making Brazil’s participation both beneficial and attractive. Moreover, Brazil’s inclusion in the MSP would facilitate its adherence to a framework that advocates for the diversification and stabilization of mineral supply chains. This alignment could be important in mitigating China’s dominant influence in the niobium market. By joining the MSP, Brazil would not only assert its role in the global mineral economy but also contribute to a more balanced and less vulnerable critical mineral supply landscape, including niobium. [24] 2. Brazil has the third largest rare earth reserves in the world According to US Geological Survey in 2024, China holds the largest rare earth reserves with 44 million metric tons, followed by Vietnam and Brazil. As Table 2 shows, Brazil holds the third largest rare earth reserves with 21 million metric tons. Other countries with significant reserves include India, Russia, and Australia. [25] However, as Figure 7 shows, Brazil ranked  12th position in the world in the production of rare earth minerals. Table 2: world mine production and reserves of rare earth minerals (source: USGS in 2024)    Figure 7: Global rare earth production by country, 2024 (source: USGS) Surprisingly, Brazilian rare earth exports hit a record high in 2025, according to data from the Brazil National Mining Agency (ANM). Almost the entire volume was shipped to China. Exports of raw rare earth materials—part of a group of minerals deemed strategic for the global energy transition—reached $7.5 million between January 1 and June 30, 2025. That figure is ten times higher than the $705,900 recorded in the same period last year, more than double the $3.6 million exported in all of 2024, and higher than in any other full year since official records started in 1997.  Though the total exports remains small, the surge in exports underscores the growing strategic value of these materials. Rare earth elements are critical in high-tech industries, used in wind turbine components and batteries, particularly for hybrid and electric vehicles. They have also become a flashpoint in US-China trade tensions, which began with President Donald Trump’s tariff war. At one point, China restricted exports of critical minerals to the US in retaliation. With this background, President Trump said in May 2025 that the US needed Greenland “very badly,” renewing his threat to annex the Danish territory. Greenland is a resource-rich island with a plentiful supply of critical minerals, a category that also includes rare earths elements, under its ice sheet. Trump also signed a “rare earth deal” with Ukraine in May 2025. The tussle over rare earths precedes the current Trump administration. China for years has built up near-total control of the materials as part of its wider industrial policy. [27] The International Energy Agency said 61% of mined rare earth production comes from China, and the country controls 92% of the global output in the processing stage. There’s two types of rare earths, categorized by their atomic weights: heavy and light. Heavy rare earths are more scarce, and the United States doesn’t have the capabilities for the tough task of separating rare earths after extraction. “Until the start of the year, whatever heavy rare earths we did mine in California, we still sent to China for separation,” Gracelin Baskaran, director of the Critical Minerals Security Program at the Center for Strategic and International Studies, told CNN. [28] However, the Trump administration’s announcement of sky-high tariffs on China in April, 2025 derailed this process. “China has shown a willingness to weaponize” America’s reliance on China for rare earths separation, Baskaran said. The US has one operational rare earth mine in California, according to Baskaran. [29] China holds a near-monopoly control over the global processing of rare earths. In 2023, China produced 61% of the world's raw magnet rare earth elements, which are essential in high-tech industries such as electronics, electric vehicles and defense. Its dominance is even more pronounced in refining these materials, making up 92% of the global refined supply. The export controls by China could have a major impact, since the US is heavily reliant on China for rare earths. Between 2020 and 2023, 70% of US imports of rare earth compounds and metals came from the country, according to a US Geological Survey report. [30] The US and Australia have signed a deal intended to boost supplies of rare earths and other critical minerals, as the Trump administration looks for ways to counter China’s dominance of the market. Australian Prime Minister Anthony Albanese said the deal would support a pipeline of $8.5bn (A$13bn; £6.3bn) "ready-to-go" projects that would expand his country's mining and processing abilities. It includes $1bn to be invested by the two countries in projects in the US and Australia over the next six months, a framework text says. The US and Australia have been working on these issues since Trump’s first term, but Albanese said the latest agreement would take the partnership to the next level. [31] Under this situation, to counter China’s dominance of rare earths, the Trump administration identified Brazil as a potential strategic partner in rare earth production. Despite holding the world’s third-largest reserves—behind China and Vietnam—Brazil accounts for 0.005% of global output in 2024, according to the USGS, as Figure 7 shows. [32] Accordingly, Brazil's rare earths sector is gaining momentum, with key industry players outlining the country’s potential to become a vital player in the global energy transition. During the Brazil Lithium and Critical Minerals Summit held in Belo Horizonte on June 4-5, 2025, over 300 senior executives and international delegations from China, US, Australia, Canada, the UK, Japan, France, Italy, Portugal, and Argentina discussed Brazil’s abundant resources and the need for strategic partnerships to explore potential reserves and ensure energy security.  [33] 3. Brazil: the world giant of agriculture Brazil is one of the world giants of agriculture. Brazil is the world’s largest producer of sugarcane, soy, coffee, orange,  açaí, guaraná, and Brazilian nut. Brazil is also the second-largest producer of ethanol, and third-largest biodiesel producer. Brazil is also one of the top 5 producers of maize, tobacco, papaya, and pineapple. Brazil is one of the top 10 world producers of avocado, cocoa, cashew, tangerine, guava, mango, rice, tomato, and sorghum. In addition, Brazil is one of the top 15 world producers of grape, melon, apple, peanut, fig, peach, onion, palm oil, and natural rubber.  A. Soybean  According to USDA (United States Department of Agriculture), as Table 3 & 4 shows, Brazil is the world’s largest soybean producing & exporting country in 2024. This is the results of the increase in production of soybean in Brazil as Figure 8 shows. Table 3: World’s Top 10 soybean producing countries, 2024-25 (source: USDA)     Table 4: World’s Top 10 soybean exporting countries, 2023-24 (source: USDA)     Figure 8: Soybean production in Brazil (source: Joana Colussi & Fram Progress) Historically, the US was the world’s largest soybean exporter. In 2013, Brazil surpassed the US in soybean shipments for the first time. Since then, Brazil’s share of the global soybean trade has increased steadily, with Brazilian soybean exports reaching a record 3,744 million bushels in 2023, according to the Foreign Trade Secretariat (Secex). At the same time, American soybean exports were reduced to 1,789 million bushels, half the Brazilian soybean export volume, according to the US Department of Agriculture (see Figure 9). [34]  Figure 9: Total soybean exports by US and Brazil (source: Farmdoc Daily, IL, USA) Over the last 20 years, Brazilian soybean exports jumped fourfold (431%), from 705 million bushels in 2004 to 3,744 million bushels in 2023. This jump occurred mainly in the second decade. Soybeans have become Brazil’s primary agricultural export commodity by volume, accounting for more than 60% of the soybeans grown domestically. The Brazilian soybean crop for the 2022/23 marketing year was 5,680 million bushels, a historic record, according to Brazil’s food supply and statistics agency. [35] Revenues from Brazilian soybean exports totaled a record $53.2 billion in 2023 versus $46.5 billion in the previous year, according to the Foreign Trade Secretariat (Secex). Considering the soybean complex, which also includes soybean oil and soybean meal, the revenue reached $67.3 billion in 2023, representing 40% of the total export revenue for the country. For the first time since the 1997/98 season, Brazil displaced Argentina as the leading global exporter of soybean meal due to severe drought, which cut Argentine soybean yields by half. [36] On the other hand, over the past 20 years, US soybean exports have increased 94% from 922 million bushels in 2004 to 1,789 million bushels in 2023. The US soybean exports have plateaued since 2016, with an average annual volume of 1,993 million bushels. The roughly doubling of exports occurred over the first decade and stagnated in the second decade. Revenues from soybean exports totaled $27.9 billion in 2023 versus $34.4 billion in 2022, according to the USDA. On average over the past five years, the US has exported 49% of total soybean production. The soybean crop for the 2022/23 marketing year reached 4,160 million bushels, slightly lower than the previous year. [37] The dynamics of global soybean trade remain heavily influenced by China, which accounts for approximately 60% of worldwide soybean imports. China predominantly sources its soybean supplies from Brazil and the US. For many years, the US was the top supplier, but in the past 15 years China has depended more on imports from South America, especially from Brazil. From 2019-2023, 73% of Brazil’s exported soybeans have headed to China, versus a 51% average for the US (see Figure 10).   Figure 10: China’s share of US and Brazil soybean exports (source: Farmdoc Daily, IL, USA) Shifting dynamics from China, the top global soybean buyer and consumer, has played a central role in the divergence between the US and Brazil as top global soybean producers.  In 1995, US soybeans accounted for 49% of Chinese soybean imports, with soybeans sourced from Brazil only totaling 2%. The US drought in 2012 kicked off a massive rise in Chinese imports of Brazilian soybeans. As a result, Brazil surpassed US in soybean shipments in 2013 for the first time. By 2024, 71% of China’s soybean imports were sourced from Brazil, with a only 21% sourced from the US. [38] As China purchased more soybeans from Brazil, Brazilian growers expanded acreage to meet export demand as Figure 8 shows. Moreover, the trade war between US and China in 2018 shifted more soybean production to Brazil at the expense of US soybean acreage as China imposed higher tariffs on US soybean. In 2018, Brazil’s soybean accounted for 82% of Chinese soybean imports while US only 18%. In the middle of another trade war between US and China in 2025, China stopped buying US soybeans. Accordingly, this trend of Brazil’s dominance over the US in soybean exports to China is likely to continue even though China resumed to buy US soybeans in accordance with Trump-Xi trade deal reached on October 30, 2025 in South Korea. [39] B. Meats  In the production of animal proteins, Brazil is today one of the largest countries in the world. In 2024, Brazil was the world’s second largest producer of beef and the world’s largest beef exporter as Table 5 and Figure 11 show.  Table 5: Top 10 beef producing countries in the world, 2024-25 (source: USDA)     Figure 11: As of December 2024, top 10 beef exporters in the world (source: AuctionPlus) In 2024, the global beef export market was dominated by five key players, each nation with significant shares of the market. Brazil led the beef market, commanding a substantial 27.8% of global beef exports. Following Brazil, Australia held a notable 14.7% share, positioning itself as a major player in global beef trade. India, another significant contributor, was responsible for 12.7% of the beef exports. The US also played a critical role, contributing 9.1% to the international beef export figures. Argentina rounded out the top five, with 6.6% of the beef market share. These five countries collectively shaped the dynamics of the global beef market, influencing pricing and supply chains. [40] Brazil sets record for beef exports in 2024 worth US$ 12.8 billion. A total of 2.89 million tons were exported, an increase of more than 26% compared to 2023. The volume exported generated US$ 12.8 billion, approximately 22% more than the amount earned in 2023. China maintained its position as the main destination for Brazilian beef, with 1.33 million tons exported, generating revenue of US$ 6 billion. Next came the US, which imported 229 thousand tons, totaling US$ 1.35 billion. Other important markets include United Arab Emirates (132 thousand tons and US$ 604 million), European Union (82.3 thousand tons and US$ 602 million), Chile (110 thousand tons and US$ 533 million) and Hong Kong (116 thousand tons and US$ 388 million). [41] In addition to beef, according to Statista (2025), Brazil was the world’s largest poultry meat  exporter as Figure 12 shows. Moreover, Brazil has been the world’s largest chicken exporter during the period of 2020-25, as Table 6 shows. Chicken meat exports reached 5.294 million tons in 2024, generating $9.928 billion in revenue.   Figure 12: Poultry meat exports worldwide leading countries, 2025| Statista  Table 6: Market share of global chicken meat exports, 2020-2025 (source: WATTPoultry) Over the past 50 years, Brazil has exported nearly 100 million tons of chicken meat to more than 150 nations. Today’s top markets include China, Japan, the United Arab Emirates, Saudi Arabia, and European Union—reflecting global recognition of Brazil’s quality standards and food safety. A significant portion of these exports are halal products aimed at Muslim consumers. More than 2 million tons are shipped annually, making Brazil the world’s largest exporter of halal chicken. [42] According to Euromeat News on February 18, 2025, the top 10 biggest exporters of halal meat to the Organization of Islamic Cooperation (OIC) countries account for a total trade value of $14.04 billion. Brazil is the largest exporter of halal meat to OIC countries with a trade value worth $5.19 billion, followed by Australia with $2.36 billion and India with $2.28 billion on the second and third spots respectively. The biggest importer of halal-certified food is Saudi Arabia, followed by Malaysia, UAE, Indonesia, and Egypt. Share [43] According to SIAL Daily, an Italian newspaper, countries like Brazil and Australia dominate exports of halal-certified meat, especially to Middle Eastern countries. Brazil is the largest exporter of halal products, particularly meat, supplying significant quantities to many countries in the Middle East and Southeast Asia. [44] Overall, Brazilian meat & soybean exports have dominated the world. As a result, citizens in the world have problems preparing for meals without Brazilian products. 4. Brazil, one of top 10 producer of oil in the world Brazil is one of top 10 influential oil country in the world. In 2024, Brazil was the world’s 9th largest crude oil producer as Table 7 shows. Brazil was also the world’s 10th largest crude oil exporting country, as Table 8 shows. Brazil company ‘Petrobras’ is the world’s 7th largest oil company, as Figure 13 shows.  Table 7: Top 10 crude Oil Producing Countries in the world, 2024 (source: 2024 Statistical Review of World Energy Data - Energy Institute )     Figure 13: Top 10 oil companies in the world, 2024 (source: Macrotrends)  Table 8: Top 10 crude oil exporting countries in the world, 2025 (source: https://www.seair.co.in/blog/crude-oil-exports-by-country.aspx)   Moreover, as Figure 14 shows, Brazil is one of net oil exporting countries. Figure 14 shows the trade balance in crude petroleum for 2023. Colors represent the difference between each country’s export and import values. Shades of green indicate a trade surplus (exports largest than imports), while shades of red represent a trade deficit (imports largest than exports).   Figure 14: Global trade balance of crude oil, 2023 (source: The Observatory of Economic Complexity: OEC) In 2023, countries with the largest trade surpluses in crude petroleum were Saudi Arabia ($181 billion), Russia ($122 billion), and United Arab Emirates ($96.2 billion).  In 2024, Brazil exported $44.8 billion of crude petroleum, and the main destinations of Brazil’s crude petroleum exports were China ($20 billion), followed by the US ($5.77 billion), Spain ($4.78 billion), and Netherlands ($3.21 billion). In 2024, Brazil imported $8.69 billion of crude petroleum, and the main origins of Brazil’s crude petroleum imports were Saudi Arabia ($1.93 billion), the US ($1.45 billion), Angola ($1.01 billion), and Guyana ($859 million). [45] Brazil exported more crude oil to the world and US than it imported in 2024. Oil trade surplus with the world and US was $36.11 billion and 4.32 billion, respectively. 5. Brazil, the world’s largest producer of sugarcane ethanol Ethanol is a renewable fuel made from various plant materials collectively known as “biomass.” More than 98% of US gasoline contains ethanol to oxygenate the fuel. Typically, gasoline contains E10 (10% ethanol + 90% gasoline), which reduces air pollution. As Table 9 shows, the US was no. 1 producer of fuel ethanol in the world. In 2024, the US produced an estimated 16.2 billion gallons of the biofuel. Brazil was the world’s second-largest ethanol producing country, with an output of 8.8 billion gallons that same year. Table 9: Annual ethanol fuel production by country, 2015-2024   (source: Annual Ethanol Production | Renewable Fuels Association. https:// ethanolrfa.org/markets-and-statistics/annual-ethanol-production) However, the US and Brazil have different ethanol industry. Brazil has sugarcane-based ethanol industry, while the US has corn-based industry. Brazil is the leading producer of sugarcane ethanol, followed by such countries as India, Thailand, and Colombia. While the US produces the most ethanol globally, its production is primarily from corn, not sugarcane.   Brazil has the largest and most successful bio-fuel programs in the world, involving production of ethanol fuel from sugarcane, and it is considered to have the world’s first sustainable biofuels economy. [46]  Brazil’s sugar cane-based industry is more efficient than US corn-based industry. Sugarcane ethanol has an energy balance seven times greater than ethanol produced from corn. Brazilian distillers are able to produce ethanol for 22 cents per liter, compared with the 30 cents per liter for corn-based ethanol. US corn-derived ethanol costs 30% more because the corn starch must first be converted to sugar before being distilled into alcohol. [47]   Although Brazil has sugarcane-based ethanol industry, its corn ethanol industry has also been expanding rapidly, with production reaching 6 billion liters in 2023, representing an 800% surge over the past five years. [48] Brazil is also a significant developer of the second-generation ethanol, from sugarcane waste or “bagasse.” This gives it the advantage of being able to produce significantly more ethanol from the same land and, as technology advances, producers are also able to extract more energy from the bagasse. Second generation ethanol, known as an advanced biofuel, is particularly in demand because it meets growing sustainability related regulatory requirements. This all sounds promising – but it is not to say that the Brazilian ethanol industry is without its challenges. Its great advantages have been the strength of its domestic sugarcane and ethanol production, the availability of a strong internal market and its flexibility. It has also been helped by legislation and regulation. As both the domestic and international ethanol markets change, these advantages continue to prove useful. [49]    Figure 15: US fuel ethanol exports to Brazil (source: Renewable Fuels Association) https://ethanolrfa.org/media-and-news/category/news-releases/article/2025/08/rfa-supports-u-s-investigation-of-punitive-brazil-trade-practices The trade volume of fuel ethanol between Brazil and US is low. US exports to Brazil averaged 3,800 barrels per day—or just 2.7% of total US ethanol exports—from January to May, 2024, according to USDA data. As Figure 15 shows, exports to Brazil in 2024 were valued at USD 53 million, down from a peak of USD 761 million in 2018, according to the USTR investigation notice. The US imported just 491 barrels per day from Brazil during the first five months of 2024, equivalent to 81% of total US ethanol imports.  [50] Overall, Brazil shipped about 300 million liters of ethanol to the US in 2024, with the trade flow relying heavily on incentives paid for low-carbon fuels in California. But exports are just a tiny fraction of the size of the domestic market, where so-called flex-fuel cars can run either on 100% ethanol or a mixture of biofuel and gasoline. Historically, most of Brazil’s production has been absorbed by the domestic fuel market where it is sold as either pure ethanol fuel (E100; hydrous ethanol) or blended with gasoline (E27; anhydrous ethanol). Brazil has been a pioneer in using ethanol as motor fuel in what are known as flex fuel engines. [51] 6. Brazil, a major aircraft manufacturer & exporter  The Brazilian aeronautical industry, led by Embraer (Empresa Brasileira de Aeronáutica S.A.), is an outstanding example of successful national industrial production. The commercial aircraft company, which is among Brazil’s main exporters, is recognized as the only large national company with active international insertion in a high technological intensity sector. This leadership position is the result of a historical trajectory that dates back to the 20th century, from the pioneering achievements of Santos Dumont with the creation of the 14-bis airplane to the continuous efforts over the years to develop a sustainable aeronautical industry in Brazil. The initial incentives for the development of the aeronautical industry in Brazil occurred under the government of Getúlio Vargas, through the national-developmentalist model, when two state-owned companies were created: Fábrica do Galeão and Fábrica de Aviões de Lagoa Santa, with the support from the private sector. During the same period, the Aeronautics Technical Center (CTA) and the Institute of Research and Development (IPD) emerged. The two institutions were considered the foundations for the establishment of a modern aeronautical industry in Brazil. Later, the CTA and the Ministry of Aeronautics argued for the creation of a state-owned company in the aeronautical sector, which led to the foundation of Embraer in 1969.  [52] In a post-World War II context, in which aircraft development became more expensive and complex, Embraer faced two challenges during its early years: the growing technological complexity and the greater concentration of the production structure. To overcome these challenges, Embraer developed a strategy which focused on creating its own technologies and intensifying its international operations through exports, resulting in the expansion of its production capabilities and an active global insertion. From the 2000s onwards, Embraer continued to stand out in the development of high-performance technological aircraft and expanded its operations to executive aircraft and the defense sector, transforming itself into an aerospace conglomerate. According to Flight Global, which publishes the ranking of the 100 largest aerospace companies, Embraer reached 3rd place in the ranking of sales of commercial aircraft, behind Airbus and Boeing in 2022. Embraer has divisions for commercial, executive, military, and agricultural aviation; it also maintains an incubator for aerospace technologies and businesses. While Embraer continues to produce aircrafts for the defense sector, it is best known for the ERJ and E-Jet families of narrow-body short to medium range airliners, and for its line of business jets, including the market-leading Phenom 300. As of May 2024, Embraer has delivered more than 8,000 aircraft, including 1,800 E-Jet planes. [53] On the other hand, concerning aircraft exports, Brazil ranked 7th in 2022, behind France, Germany, Canada, Spain, US, and Ireland. And Brazil ranked 9th in the world in the aircraft/spacecraft exports in 2023. [54] Moreover, as Table 10 shows, according to Aerotime, Embraer is the 7th largest aircraft manufacturer in the world in 2025. [55] Table 10: Top 10 Aircraft Manufacturers in the World, 2025 (source: Aerotime)   7. Brazil, the leader of BRICS BRIC was originally a term coined by British economist Jim O’Neill and later championed by his employer Goldman Sachs in 2001 to designate the group of emerging markets. The first summit in 2009 featured the founding countries of Brazil, Russia, India, and China, where they adopted the acronym BRIC and formed an informal diplomatic club where their governments could meet annually at formal summits and coordinate multilateral policies. In April 2010, South Africa attended the second BRIC summit as a guest. South Africa joined the organization in September 2010, which was then renamed BRICS, and attended the third summit in 2011 as a full member. Iran, Egypt, Ethiopia, and the United Arab Emirates attended their first summit as member states in 2024 in Russia. Indonesia officially joined BRICS as a member state in early 2025, becoming the first Southeast Asian member. The acronym BRICS+ (in its expanded form, BRICS Plus) has been informally used to reflect new membership since 2024. [56] As Figure 16 shows, BRICS now consists of 20 countries. The 10 BRICS members are the founding five — Brazil, Russia, India, China, and South Africa — plus Egypt, Ethiopia, Indonesia, Iran, and the United Arab Emirates. The 10 BRICS partners are Belarus, Bolivia, Cuba, Kazakhstan, Malaysia, Nigeria, Thailand, Uganda, Uzbekistan, and Vietnam.  Figure 16: BRICS PLUS as of July 2025 (source: Geopolitical Economy) Some in the West consider BRICS the alternative to the G7. Others describe the organization as an incoherent joining of countries around increasing anti-Western and anti-American objectives. BRICS has implemented competing initiatives such as the New Development Bank, the BRICS Contingent Reserve Arrangement, BRICS PAY, the BRICS Joint Statistical Publication and the BRICS basket reserve currency. [57] BRICS has been growing in size and influence, and this has frightened some Western politicians. Donald Trump is particularly rattled. After he returned to the White House for his second term as US president, Trump threatened very high tariffs on BRICS, and falsely said he had destroyed the organization. Although Trump threatens BRICS, it grows stronger, resisting US dollar. [58] The US government’s fear of BRICS is rooted in the Global South-led organization’s increasing power. As Figure 17 shows, 20 BRICS members and partners already represent more than two-fifths of the global economy: 43.93% of world GDP, when measured at purchasing power parity (PPP). The BRICS 20 also have a combined population of 4.45 billion, meaning that they represent 55.61% of the global population — the majority of the world.   Figure 17: BRICS share of global GDP (source: IMF) One of the key issues discussed at the 2025 BRICS summit in Brazil was de-dollarization — the attempt to create alternatives to the US dollar as the global reserve currency. Brazil’s left-wing President Lula da Silva has long been an advocate of de-dollarization. [58]“The world needs to find a way that our trade relations don’t have to pass through the dollar,” Lula said at the BRICS summit. “Obviously, we have to be responsible about doing that carefully. Our central banks have to discuss it with central banks from other countries,” the Brazilian leader explained, according to Reuters. He added, “That’s something that happens gradually until it’s consolidated.” [60] Lula agreed that de-dollarization is “complicated” and will be a slow, gradual process, but he maintained that it is necessary. At the 2025 BRICS summit, the Brazilian president even reiterated his call for the creation of a new global currency to challenge the US dollar. [61] Lula declared that “BRICS is an indispensable actor in the struggle for a multipolar, less asymmetrical, and more peaceful world.” He lamented that the US-dominated international financial system benefits the rich colonial countries at the expense of the poor, formerly colonized ones. At the BRICS summit on July 6, 2025, the 20 BRICS members and partners signed a lengthy joint statement. The Rio de Janeiro Declaration was 31 pages long and consisted of 126 points, encompassing a wide variety of subjects. The joint declaration made many references to BRICS initiatives to encourage de-dollarization. The declaration called to strengthen the BRICS bank, the New Development Bank, to “support its growing role as a robust and strategic agent of development and modernization in the Global South.” In particular, the document emphasized the need for the New Development Bank to “expand local currency financing.” [62] Dilma Rousseff, the former Brazilian president from Lula’s left-wing Workers’ Party, has been the Chair of the New Development Bank. In her remarks at the BRICS summit, Dilma emphasized that the New Development Bank is promoting financing in local currencies. “Any business or government that borrows in foreign currency becomes subject to decisions made by the Federal Reserve or other central banks in Western developed nations,” she said, warning of exchange-rate risk and currency volatility. As a positive example of an alternative, the BRICS website noted that Dilma “pointed to a project in Brazil funded directly in renminbi, without the need for dollar conversion.” [63] The BRICS declaration similarly urged further development of the Contingent Reserve Arrangement (CRA), which could serve as an alternative to the US-dominated International Monetary Fund (IMF), by providing short-term liquidity to developing countries facing balance-of-payments crises. Another initiative discussed in the declaration was the New Investment Platform (NIP), which seeks to facilitate investments in local currencies, instead of US dollars, Euro, or British pounds. The declaration addressed the BRICS Interbank Cooperation Mechanism (ICM), which is working on “finding acceptable mechanisms of financing in local currencies.” The joint statement also highlighted the work of the BRICS Cross-Border Payments Initiative and BRICS Payment Task Force (BPTF), which it noted identify “the potential for greater interoperability of BRICS payment systems,” as part of “efforts to facilitate fast, low-cost, more accessible, safe, efficient, and transparent cross-border payments among BRICS countries and other nations and which can support greater trade and investment flows.” [64] As a leader of BRICS to push for de-dollarization, Brazil has deepened its bond with China. Growing ties between Brazil and China were a reality well before Donald Trump came into office. But as US president Trump tried to intervene in Brazil’s judiciary and politics and imposed one of the highest tariffs in the world, enthusiasm for collaboration between the two governments seems to be at an all-time high.  “Our ties are at their best moment in history,” China’s President Xi Jinping said in August 2025 after holding an hour-long call with Brazilian President Lula da Silva. “China supports the Brazilian people in defending their national sovereignty and also supports Brazil in safeguarding its legitimate rights and interests,” he added. Xi also told Lula that China “stands ready to work with Brazil to set an example of unity and self-reliance among major countries in the Global South.” [65] China has been a key commercial partner for South America, and the tie with Brazil has for years been the strongest—it’s China’s top trade partner in the region and one of its main foreign investment destinations. In recent years the breadth of the relationship widened, even under former President Jair Bolsonaro, who used anti-China rhetoric and wanted to see Brazil more aligned with the United States. During Lula’s third term, the connection between China and Brazil has strengthened further. 2025 has seen significant developments. In July 2025, Brazil hosted the 17th BRICS summit, and Brazil and China co-announced the construction of a bi-oceanic railway corridor between Brazil and Peru’s Pacific coast. In addition, Chinese car maker BYD rolled out the first electric car built entirely in Brazil, at its new factory in Camaçari, Bahia, its first outside Asia. [66] In the context of the US-China rivalry, Washington is anxious. According to US media, Brazil’s hosting the BRICS summit meeting was a factor in the Trump administration’s imposition of tariffs. On the other side of US politics, Senate Democrats recently wrote a letter to Trump  saying “a trade war with Brazil would make life more expensive for Americans, harm both US and Brazilian economies, and drive Brazil closer to China.” [67] China has been Brazil’s top trading partner since 2009, when it overtook the US. As Figure 18 shows, the trade volume between Brazil and China doubled the volume between Brazil and US in 2024. China is the world’s biggest soybean importer, and gets most of its supply from Brazil. In 2024, 28% of Brazil’s exports went to China. In 2023, Brazil was China’s main supplier of soy, beef, cellulose, corn, sugar and poultry.   Figure 18: Brazil’s trade with China vs USA (source: ComexStat & Americas quarterly) The balance of trade between Brazil and China has historically been favorable to Brazil, although China has increased its exports in recent years. And when the US tariffs took effect, China authorized 183 new Brazilian coffee companies to sell to its market, and did the same with other products. A recent new step between Brazil and China is to negotiate for the adoption of mechanisms to track the origin of agricultural products, particularly soy and beef. The goal is to create a system where both countries recognize the same environmental certifications, so that products can be tagged, for example, as “carbon-neutral beef.” There’s also talk of China importing Brazilian ethanol for the production of “sustainable aviation fuels.” [68] Commodities comprise the vast majority of exports, but the trade relationship between Brazil and China is no longer based solely on them. The manufacturing industry represented 23% of Brazil’s exports to China in the first quarter of 2025, an increase of 6 percentage compared to the same period in 2024, according to the Brazil-China Business Council.   The kinds of exchanges have been changing, too, from government to government, to company to company, to company to client. Beyond BYD’s new factory in Camaçari, expected to be fully functional by the end of 2026, green energy and telecommunications services see strong Chinese investment, and Chinese companies operating in fields like delivery apps are expected to be active in Brazil in the coming years. [69] By contrast, as Table 11 shows, US-Brazil trade has been limited compared to China-Brazil trade. Brazilian exports to the US are less than 2% of Brazil’s GDP in 2024, while Brazilian exports to China are more than 4% of Brazil’s GDP. Brazil economy is too large to be bullied by the US. Moreover, Brazil’s strong ties to China guarantees Brazil’s economic independence from the US.  Table 11: Bilateral trade between Brazil and China & US, 2024(source: SECEXMDIC)   IV. Conclusion This paper explained Brazil’s seven strengths that enabled Brazil to challenge the US as well as US President Trump. Brazil has important strategic assets such as niobium and rare earth. Brazil holds the world’s largest niobium reserves, as well as the world’s third largest rare earth reserves. Brazil also has been the world giant of agriculture that has exported the largest amount of soybean and beefs & chicken to the world. In addition, Brazil is the world’s 9th largest crude oil producer and the world’s 10th largest crude oil exporting country. Moreover, Brazil is the world’s largest producer of sugarcane ethanol, as well as the world second largest ethanol producer, leading Bazil to its energy independence. Furthermore, Brazil is a major aircraft manufacturer & exporter. Embraer, a Brazilian company, reached 3rd place in the ranking of sales of commercial aircraft, behind Airbus and Boeing in 2022. Concerning aircraft exports, Brazil ranked 7th in 2022, behind France, Germany, Canada, Spain, United States, and Ireland. And Brazil ranked 9th in the world in the aircraft/spacecraft exports. More importantly, Brazil has been a leader of BRICS that has wielded huge geopolitical influence around the world. On top of that, Brazil has strengthened its ties with China which has been another BRICS leader. Because of these seven strengths, Brazil has not relied on the US for its economy. Rather Brazil has been able to resist US President Trump’s pressure and threats.  Brazil has been different from Mexico which depends on US for its trade and overall economy. Mexico’s total exports in 2024 were valued at US$618.98 billion, according to the United Nations COMTRADE database on international trade. Mexico’s total exports to the US in 2024 was valued at US$503.26 billion, constituting 81% of Mexico’s total exports and 27.5% of Mexico’s GDP. [70] Brazil’s exports to the US hit a record $40.3 billion in 2024, but it made up 1.9% of Brazil’s GDP in 2024. [71] Thus, Brazil sharply contrasts with Mexico in terms of its economic dependence on the US.  Brazil has also been different from Japan in terms of its security dependence on the US. Japan has heavily depended on the US for its security. As Figure 19 show, as of March 2025, approximately 53,000 US military servicemen have been stationed in Japan. By contrast, as Table 12 shows, there are 58 US soldiers in Brazil as of March 2025. Even 58 US servicemen in Brazil are not stationed there. They are temporarily in Brazil for a moment. Moreover, unlike Japan where there are several military bases in Japan, including major installations like Futenma air station in Okinawa and Yokota air base in Tokyo, there are no US military bases in Brazil. Thus, Brazil has not depended on the US for its security. Accordingly, Brazil sharply contrasts with Japan in terms of its security dependence on US.   Figure 19: US troops overseas (source: https://usafacts.org/articles/where-are-us-military-members-stationed-and-why/) Table 12: Number of US military personnel (source: https://usafacts.org/articles/where-are-us-military-members-stationed-and-why/)  On the other hand, the US has a growing military presence in Australia, primarily through the marine rotational force in Darwin, which involves thousands of US marines rotating annually for training exercises. These rotations, which have happened since 2012, have grown from an initial 200 marines to nearly 2,500 each year. In addition, the US planned to host up to four nuclear-powered submarines at a future base in Australia, beginning as early as 2027. Moreover, Australia has been a member of Quad and AUKUS that are anti-Chinese alliance.  On the economic front, however, Australia exported a total $517.0 billion in merchandise goods in 2024, with $23.8billion of this going to the US. Australian goods exports to US made up 5% of its total goods exports in 2024 and were 0.9% of Australia’s annual GDP. [72]  In 2024, as Figure 20 shows, around 35% of Australia’s merchandise exports by value went to China. China is also Australia’s largest export market for services with a 13.3% share. China is also Australia’s largest import partner with AUD 116 billion in 2024, followed by the US at AUD 93 billion, and Japan at AUD 32 billion. China has been Australia’s largest trading partner since 2009, when it replaced Japan. Thus, Australia is situated in-between Japan (with heavy security dependence on the US) or Mexico (with extreme economic reliance on the US) and Brazil (with economic and security freedom from the US) in terms of its economic and security dependence on US. Australia straddles a middle path between the US and China. Australia depends on China for its economy, while it strengthens its security ties with the US.  Figure 20: Australia’s exports to China, 2024 (source: Australian Bureau of Statistics) In conclusion, Brazil’s seven strengths have made Brazil achieve both economic and security independence from the US. Thus, Brail was able to resist US pressures and threats. Even Brazil has been able to challenge the US. Brazil’s pursuit of de-dollarization and multipolar world order are good examples of such efforts. References[1] “Is Donald Trump trying to dial back tensions with Brazil?” Alex Kozul-Wright. 7 Oct 2025. AlJazeera. https://www.aljazeera.com/economy/2025/10/7/is-donald-trump-trying-to-dial-back-tensions-with-brazil[2] “Is Donald Trump trying to dial back tensions with Brazil?” Alex Kozul-Wright.[3] “Is Donald Trump trying to dial back tensions with Brazil?” Alex Kozul-Wright.[4] “Is Donald Trump trying to dial back tensions with Brazil?” Alex Kozul-Wright.[5] For more information on Brazil, see Wikipedia.[6] see Wikipedia[7] For more information about income inequality in Brazil, see “Income Inequality Drops Again and Hits Lowest Level on Record in Brazil.” May.8.2025. Folha De S. Paulo.[8] For more information, see https://worldpopulationreview.com/country-rankings/crime-rate-by-country[9] For more information, see https://www.mbmg.mtech.edu/pdf-publications/fs23.pdf[10] Moisés Gómez, Jinhui Li, Xianlai Zeng. “Niobium: The unseen element - A comprehensive examination of its evolution, global dynamics, and outlook.” Resources, Conservation and Recycling. Vol. 209 (October 2024), p.1[11] Moisés Gómez, Jinhui Li, Xianlai Zeng., p. 2.[12] For more information, see https://www.sfa-oxford.com/market-news-and-insights/niobium-swing-producer-cbmm-driving-the-future-of-advanced-materials/[13] See https://www.sfa-oxford.com/market-news-and-insights/niobium-swing-producer-cbmm-driving-the-future-of-advanced-materials/[14] For more information, see https://www.sfa-oxford.com/market-news-and-insights/niobium-swing-producer-cbmm-driving-the-future-of-advanced-materials/[15] See https://www.sfa-oxford.com/market-news-and-insights/niobium-swing-producer-cbmm-driving-the-future-of-advanced-materials/[16] See https://www.mining-technology.com/news/cbmm-opens-niobium-production-facility/?cf-view[17] For more information, see https://niobiumcanada.com/why-is-niobium-a-critical-mineral-resource-for-the-united-states/[18] https://niobiumcanada.com/why-is-niobium-a-critical-mineral-resource-for-the-united-states/[19] “Hypersonic hegemony: niobium and the Western Hemisphere’s role in the US-China power struggle.” Guido L. Torres, Laura Delgado Lopez, Ryan C. Berg, and Henry Ziemer. CSIS. March 4, 2024.[20] “Hypersonic hegemony: niobium and the Western Hemisphere’s role in the US-China power struggle.” Guido L. Torres, Laura Delgado Lopez, Ryan C. Berg, and Henry Ziemer.[21] “Hypersonic hegemony: niobium and the Western Hemisphere’s role in the US-China power struggle.” Guido L. Torres, Laura Delgado Lopez, Ryan C. Berg, and Henry Ziemer.[22] “Hypersonic hegemony: niobium and the Western Hemisphere’s role in the US-China power struggle.” Guido L. Torres, Laura Delgado Lopez, Ryan C. Berg, and Henry Ziemer.[23] “Hypersonic hegemony: niobium and the Western Hemisphere’s role in the US-China power struggle.” Guido L. Torres, Laura Delgado Lopez, Ryan C. Berg, and Henry Ziemer.[24] “Hypersonic hegemony: niobium and the Western Hemisphere’s role in the US-China power struggle.” Guido L. Torres, Laura Delgado Lopez, Ryan C. Berg, and Henry Ziemer.[25] For more information, see USGS website: https://pubs.usgs.gov/periodicals/mcs2024/mcs2024-rare-earths.pdf[26] https://valorinternational.globo.com/business/news/2025/08/05/brazils-rare-earth-exports-hit-record-but-remain-modest.ghtml[27] “What are rare earth minerals, and why are they central to Trump’s trade war?” Ramishah Maruf. CNN. June 3, 2025.[28] “What are rare earth minerals, and why are they central to Trump’s trade war?” Ramishah Maruf.[29] “What are rare earth minerals, and why are they central to Trump’s trade war?” Ramishah Maruf.[30] “What are rare earth minerals, and why are they central to Trump’s trade war?” Ramishah Maruf[31] “US and Australia sign rare earths deal to counter China's dominance.” Natalie Sherman. BBC News. October 20, 2025.[32] https://valorinternational.globo.com/business/news/2025/08/05/brazils-rare-earth-exports-hit-record-but-remain-modest.ghtml[33] https://www.spglobal.com/commodity-insights/en/news-research/latest-news/metals/060625-brazils-rare-earth-projects-seek-partnerships-to-enhance-energy-security [34] For more information, see https://farmdocdaily.illinois.edu/2025/09/us-soybean-harvest-starts-with-no-sign-of-chinese-buying-as-brazil-sets-export-record.html[35] https://farmdocdaily.illinois.edu/2025/09/us-soybean-harvest-starts-with-no-sign-of-chinese-buying-as-brazil-sets-export-record.html[36] https://farmdocdaily.illinois.edu/2025/09/us-soybean-harvest-starts-with-no-sign-of-chinese-buying-as-brazil-sets-export-record.html[37] https://farmdocdaily.illinois.edu/2025/09/us-soybean-harvest-starts-with-no-sign-of-chinese-buying-as-brazil-sets-export-record.html[38] https://soygrowers.com/news-releases/how-does-u-s-soybean-production-compare-to-brazil/[39] https://soygrowers.com/news-releases/how-does-u-s-soybean-production-compare-to-brazil/[40] For more information, see https://pulse.auctionsplus.com.au/aplus-news/insights/whos-got-beef-and-wheres-it-going[41] https://pulse.auctionsplus.com.au/aplus-news/insights/whos-got-beef-and-wheres-it-going[42] https://www.thepoultrysite.com/news/2025/08/brazil-marks-50-years-as-top-global-chicken-exporter[43] “Top 10 exporters shipped halal meat worth $14.04 bn to OIC countries.” EuroMeat News. February 18, 2025.[44] For more information, see https://newsroom.sialparis.com/topics/news/middle-east-food/[45] For more information, see https://oec.world/en/profile/bilateral-product/crude-petroleum/reporter/bra[46] D. Budny; P. Sotero (April 2007). "Brazil Institute Special Report: The Global Dynamics of Biofuels" (PDF). Brazil Institute of the Woodrow Wilson Center. [47] The Economist, March 3–9, 2007 "Fuel for Friendship" p. 44[48] The flourishing ethanol industry in Brazil, Brazilian Farmers.[49] https://www.hfw.com/insights/bioenergy-series-the-evolution-of-the-brazilian-ethanol-industry/ [50] https://ethanolrfa.org/media-and-news/category/news-releases/article/2025/08/rfa-supports-u-s-investigation-of-punitive-brazil-trade-practices[51] https://www.czapp.com/analyst-insights/trump-targets-brazil-over-ethanol-tariffs-amid-falling-us-exports/[52] For more information, see "The Remarkable Story of Brazilian Jet Maker Embraer." Bloomberg. July 5, 2024.[53] "Embraer Delivers 1800th E-Jet". Embraer. Archived from the original on 2 May 2024. Retrieved 21 July 2024.[54] https://worldpopulationreview.com/country-rankings/aircraft-and-spacecraft-exports-by-country[55] https://www.aerotime.aero/articles/largest-airlines-aircraft-manufacturers[56] "Expansion of BRICS: A quest for greater global influence?" (PDF). Think Tank, European Parliament. 15 March 2024.[57] For more information, see Wikipedia.[58] https://geopoliticaleconomy.com/2025/07/10/trump-threat-brics-us-dollar-western-imperialism/[59] https://geopoliticaleconomy.com/2025/07/10/trump-threat-brics-us-dollar-western-imperialism/[60] https://geopoliticaleconomy.com/2025/07/10/trump-threat-brics-us-dollar-western-imperialism/[61] https://geopoliticaleconomy.com/2025/07/10/trump-threat-brics-us-dollar-western-imperialism/[62] https://geopoliticaleconomy.com/2025/07/10/trump-threat-brics-us-dollar-western-imperialism/[63] https://geopoliticaleconomy.com/2025/07/10/trump-threat-brics-us-dollar-western-imperialism/[64] https://geopoliticaleconomy.com/2025/07/10/trump-threat-brics-us-dollar-western-imperialism/[65] https://www.americasquarterly.org/article/brazil-deepens-bond-china/[66] https://www.americasquarterly.org/article/brazil-deepens-bond-china/[67] https://www.americasquarterly.org/article/brazil-deepens-bond-china/[68] https://www.americasquarterly.org/article/brazil-deepens-bond-china/[69] https://www.americasquarterly.org/article/brazil-deepens-bond-china/[70] https://trading economics.com /mexico/exports-by-country[71] https://www.publicnow.com/view/8D388094BA5934BD1B86E434070AA54216D7E628?1756817187 & SECEXMDIC[72] See Australian Bureau of Statistics; https://www.abs.gov.au/articles/australias-trade-united-states-america

Energy & Economics
NATIONAL HARBOR, MD, USA — February 20 2025: President of Argentina Javier Milei wields a chainsaw on the main stage on day 1 of the 2025 Conservative Political Action Conference.

Milei’s failed revolution: From libertarian chainsaws to a U.S. bailout

by Sahasranshu Dash

The libertarian revolution of Javier Milei, which had promised to free Argentina from the State, ended up being sustained by a bailout from the U.S. Treasury, the ultimate symbol of the interventionism he had sworn to fight. When Javier Milei took office in December 2023, brandishing a chainsaw as a campaign symbol, he promised nothing less than a libertarian revolution. An outsider to traditional politics, he declared war on an overextended Argentine state, pledging to cut ministries, privatize industries, dollarize the economy, and slash social spending to the bone. He even proposed abolishing the central bank. Many libertarians and cryptocurrency enthusiasts around the world welcomed his rise as the long-awaited dawn of anarcho-capitalism in power: a real experiment in turning radical free-market theory into national policy, inspired by Joseph Schumpeter’s concept of “creative destruction.” From the outset, Milei reinforced his global image. He dissolved the Ministry of Women, Genders and Diversity, threatened to remove femicide from the penal code, and attacked gender parity in politics. At Davos, he launched a fierce critique of “wokeism,” lumping together feminism, diversity, inclusion, equity, abortion, environmentalism, and gender ideology under one “woke ideology” to be fought. Mapuche women—members of one of Argentina’s largest Indigenous groups—denounced an increase in racist and misogynistic attacks. For conservatives from Washington to Budapest to New Delhi, this was electrifying. Abhijit Iyer-Mitra, a propagandist aligned with Modi, praised Milei alongside Elon Musk’s failed Department of Government Efficiency (DOGE), seeing in both an attack on the welfare state and on the enemies of cultural traditionalism. In Milei, the global right found not just another politician but a standard-bearer of its dream to fuse libertarian economics with cultural radicalism. Less than two years later, the contradictions of his project are exposed. Reserves are depleted, household incomes stagnant, unemployment high, and public confidence eroded. Argentina remains trapped in crisis, repeating old cycles. History warns us: Carlos Menem left massive debts and unemployment despite two terms between 1989 and 1999; Fernando de la Rúa resigned amid collapse; Cristina Fernández de Kirchner governed with growing subsidies and controls; Mauricio Macri faced a currency crisis in 2018 despite IMF support. In remarkably similar fashion, Milei’s political standing has weakened. His party’s defeat in Buenos Aires provincial elections in September, coupled with corrupt allegations against his sister and closest adviser, has undermined his authority. Congress overturned one of his vetoes and is preparing to challenge others. The peso, already fragile, brushed up critical levels as it approached breaking the IMF’s stipulated currency band. On September 17, it crossed that threshold, trading at 1,475 per dollar, forcing the central bank to spend nearly $1 billion in reserves to defend the currency. Country risk soared, and fears of collapse grew. Then came an extraordinary intervention. On September 22, minutes before markets opened, U.S. Treasury Secretary Scott Bessent wrote on X: “Argentina is a systemically important ally for the United States… all stabilization options are on the table. Argentina will be great again.” He suggested Washington might use swap lines, direct currency purchases, or the Exchange Stabilization Fund to buy Argentine debt. Markets responded: Argentine bonds rose six cents to 71 cents on the dollar, the peso strengthened 4%, and stocks climbed 6%. Panic gave way to relief. Days later, at the UN General Assembly in New York, Milei appeared alongside Trump and Bessent. Trump praised him for “cleaning up Argentina’s mess” and hinted at support for 2027, though he downplayed the idea of a bailout. For Milei, it was vindication: ideological affinity with Trump translated into tangible backing. But the irony was striking. A president presented as an anarcho-capitalist crusader was rescued not by markets but by the most interventionist state actor of all: the U.S. Treasury, through a classic government bailout. This echoed how Musk’s DOGE and chainsaw rhetoric ended in farce—like Liz Truss’s mini-budget in the UK or the collapse of Lehman Brothers. Milei’s libertarian revolution increasingly resembles a recycled continuation of Argentina’s old failures. Like his predecessors, he burns through reserves, begs for Washington’s support, and claims credit for temporary inflation drops. His promise of “creative destruction” has not rebuilt the productive base, spurred innovation, or repaired the social fabric. It has merely redirected Argentina’s dependence outward, making the country once again reliant on foreign sponsorship. Trump’s support adds another paradox. For a leader who proclaims, “America First,” rescuing Argentina seems inconsistent. But geopolitics explains it. With Washington straining ties with middle powers like India and Brazil, and regional powers like Colombia leaning toward Beijing or Moscow, Argentina stands out for aligning firmly with the United States. Milei has echoed Trump on Cuba, Venezuela, and U.S. wars abroad, even calling for the demolition of the Al-Aqsa Mosque in Palestine — the third holiest site in Islam — “to bring the Messiah.” In return, he receives dollars and political backing. What is presented as libertarian solidarity is, in reality, a geopolitical transaction. But the deal only postpones the inevitable. Argentina faces midterm elections on October 26, and Milei’s weak performance in Buenos Aires suggests a possible Peronist resurgence. Investors are uneasy not only about the elections but also about his longer-term prospects in 2027. Some problems are structural, such as Argentina’s chronic dependence on the U.S. dollar. Anchoring the peso creates a dual economy — one domestic and one dollarized — that leaves the currency overvalued and prone to collapse. Abandoning the peg has proved just as destabilizing. When Milei briefly allowed the peso to float, confidence collapsed, inflation surged, and recession deepened. He soon had to revert to a peg-like scheme, defended with borrowed reserves. Argentina remains trapped: pegging drains credibility and reserves, while floating exposes the economy to immediate collapse. Inflation has fallen under Milei, from nearly 300% in 2024 to around 30% today. But at an enormous cost: sharp cuts in education, infrastructure, and welfare have driven poverty higher, while professional classes, shielded by an overvalued peso, enjoy cheap vacations abroad. Poverty in Argentina rose to 52.9% in the first half of 2024, up from 40.1% a year earlier, reaching its highest level in more than two decades. In the end, Milei’s experience underscores the limits of libertarianism in power. Libertarianism thrives in opposition, with its rhetoric of freedom and chainsaws. But in government it collides with three immovable forces: markets that demand safety nets, citizens who require protection, and political institutions that resist dismantling. Milei’s struggles show that libertarianism cannot escape the state: it only reshapes its dependencies, often in contradictory and self-defeating ways.

Energy & Economics
map of Latin America with purple, blue and black colors, artificial intelligence background artificial intelligence robots surrounding with hands the map of Latin America. Futuristic and three-dimensional style This content was generated by an Artificial

The crossroads of AI in the LAC region

by Carlos Arturo Covarrubias Gutiérrez

The shadow of artificial intelligence looms over the world; depending on the region, it takes the shape of a Chinese dragon or of Miss Manifest Destiny. But AI is among us, little by little taking up space, absorbing ideas without asking, constantly feeding itself in an endless cycle that, whether we accept it or not, undoubtedly consumes the Earth’s energy. While it is an ambiguous promise to affirm that the wave of AI will eventually end, the reality is that it is here, not only consuming but also spreading information that, as we know, is mostly the equivalent of junk content and misinformation — though at a scale greater than anyone would have foreseen. At the same time, it is managing to change the globalizing culture of the internet, transforming the feelings, tastes, and aversions of future generations. It is therefore imperative in these current times to think about what steps the LAC region (Latin America and the Caribbean) should or should not take in the face of the unbridled advance of AI. It is on the basis of this vital point for the future and destiny of LAC that the present reflection is made. It is crucial to delve into some of the opportunities that currently exist in the region for the development, implementation, and transformation of artificial intelligence in Latin America and the Caribbean. As we know, the region is home to enormous wealth, opportunities, and human capital — both labor and intellectual — that, if necessary, it can provide both momentum and renewal to the idea of artificial intelligence from the so-called peripheral countries, in this case, Latin America and the Caribbean. As an example, we can point to Argentina, Bolivia, and Chile (the lithium triangle) (Obaya, 2021), countries in which key raw materials such as lithium and copper give them a crucial role in the future goals of the countries where the main AI companies and corporations originate. This can bring both opportunities and future technological, economic, and social dependencies. That is why the region must learn to manage its resources to its advantage through active regional networks, with ethical and participatory governance, as well as a strong and structured digital diplomacy with a collective voice. But above all, with technological ethics combined with a rationality-based regulatory framework prepared to address humanitarian, social, environmental, and business needs in a harmonious way — also encouraging sociocultural communities to participate actively, considering the natural life cycle of the norms which could, as a likely outcome, eventually form part of a new international regulatory framework. This would be especially necessary given the shortcomings of the international community in addressing issues of constant innovation and impact. In the framework of AI’s evolution and development, this may not be too complicated due to the inherent characteristics of this technology — a technology that will end up being so embedded in daily human life that it will be difficult not to be part of it without being left behind, especially considering the undeniable commercial, social, planetary, and geopolitical relevance represented by dominance over the AI market. And this is without even mentioning the possible arrival of generative AI, which would raise even more issues and concerns. It is also significantly important to understand some of the advances and initiatives being planned or deployed in the LAC region, such as Mexico’s collaboration with Nvidia to develop a Mexican AI language (Mota, 2025). Another example is AI4D, an initiative of Canada’s IDRC, along with other foreign strategic partners (Artificial Intelligence for Development, n.d.). This initiative promotes inclusive, ethical, and human-centered AI, aiming to include itself in different regions of the Global South. Among some of the cases that demonstrate the enormous potential of this initiative are the CENIA in Chile (Centro Nacional de Investigación en Inteligencia Artificial, CENIA, n.d.) and BID Lab in LAC (BID Lab, n.d.), both of which foster comprehensive technological development in the region. While all of the above sounds like a real opportunity to foster the development of a region historically lagging in many social, economic, and technological matters, we must also document our pessimism. That is, we must keep in mind some of the key challenges that, depending on where we put the pin on the map, reveal a diversity of problems that could alter the course of many of these opportunities and initiatives. Among some of the relevant issues are corruption, political instability, technical and economic gaps in LAC—as in other regions of the Global South—criminal networks that in some cases are categorized as terrorist, and others. It is also very important to consider the potential future use of artificial intelligence as automated and systematic instruments of repression by authoritarian governments; its implementation within the criminal organizations of the region; the use of LAWS (Lethal Autonomous Weapons Systems) (Perrin, 2025); or the creation of new easily producible drugs that could cause regional destabilization. In this last regard, the events in Nepal cast a shadowy expectation of the collusion of digital platforms and the use of AI for strategic and recolonizing purposes in service of capital and platforms — without the need for the pretext of drugs or terrorism. In addition, it is important to consider the historical scars of exploitation, abuse, and oppression in the LAC region by foreign forces. Therefore, it is not only important but imperative for the interests of the region to work within a framework of equality and not subordination to the current and future interests of the companies and nations that will focus on the region, which undoubtedly possesses geostrategic strength. Thus, the international rhetoric of the nations forming part of LAC must change or transform in order to put the interests of the region first, to make the most of the wave of artificial intelligence with strategy and geopolitical thought. This is not to mention some of the challenges that as a region we will have to face, such as the fragmentation of regional institutions in LAC, the lack of coordination, and the absence of a unified regional agenda outlining the steps to be taken as a region toward AI implementation, innovation, education, and ethical use — as well as the influence of global powerbrokers, namely digital platforms, in their capacity to remove and install governments in the Global South. The challenge, as can be seen, is enormous. However, the context of the new tripolar world order fuels positive expectations for LAC’s integration in a position of strength to act with national and regional aims that benefit the majority. References Artificial Intelligence for Development. (s.f.). Ai4D.ai. Recuperado el 17 de septiembre de 2025, de https://www.ai4d.aiBID Lab. (s.f.). BID Lab. Banco Interamericano de Desarrollo. Recuperado el 17 de febrero de 2025, de https://bidlab.org/esCentro Nacional de Investigación en Inteligencia Artificial – CENIA. (s.f.). Investigación UC. Recuperado el 17 de febrero de 2025, de https://investigacion.uc.cl/centros-de-excelencia/centro-nacional-de-investigacion-en-inteligencia-artificial-ceniaMota, C. (2025, julio 31). La estrategia de Nvidia en México. El Heraldo de México. https://heraldodemexico.com.mx/opinion/2025/7/31/la-estrategia-de-nvidia-en-mexico-719056.htmlObaya, M. (2021). Una mirada estratégica sobre el triángulo del litio. Buenos Aires: Fundar.Perrin, B. (2025, enero 24). Lethal autonomous weapons systems & international law: Growing momentum towards a new international treaty. ASIL Insights, 29(1). https://www.asil.org/insights/volume/29/issue/1

Energy & Economics
Glass world bank building. Financial concept. Golden inscription bank. Banking. 3D render.

Closing the global financing gap in social protection: A World Bank perspective

by Iffath Sharif

Universal social protection coverage is off-track Time and time again we see the importance of universal social protection. It is a first line of defense to avoid deepening poverty in crises and helps overcome systemic poverty by empowering people to become economically self-reliant and invest in themselves and their children. Still over 3.4 billion people live without social protection coverage (International Labour Organization (ILO), 2021)1 and most of them live in low-income countries (LICs) and lower-middle-income countries (LMICs). Social protection spending relative to gross domestic product (GDP) is 4.5 times lower in LICs than in high-income countries, with little change from a decade ago. Moreover, globally, only about 25% of financing goes for the poorest 20% of the population (Tesliuc et al., 2025). Low coverage and stagnant financing stand in stark contrast to increasing risks that disproportionately affect people living in poverty, including from climate change and growing conflict and fragility. For uncovered households, the impact of any single shock can mean having to skip meals, sell off valuable assets, and pull children out of school, all with lifelong impacts. To accelerate progress against these challenges, the World Bank has set an ambitious new target to extend social protection coverage to an additional half a billion extremely poor and vulnerable people by 2030. Achieving this goal will require collective action to address the global fiscal deficit in social protection spending. Financing reform to double down on our social protection coverage Reaching half a billion people with social protection will entail continuing to work with over 70 governments, leveraging our knowledge and learning through building new evidence, facilitating cross-country peer-to-peer exchange, and close collaboration with development partners. There will also be a need to make meaningful use of the World Bank’s existing social protection financing of US$29 billion to continue investments in digital delivery systems to make spending in social protection more efficient. Such foundational investments can help to leverage labor market and fiscal reforms and complementary financing to reach our goal. Five specific actions could increase social protection financing to reach more people. Improve effectiveness of current social protection spending A top priority is to ensure that existing social protection budget resources are spent effectively. We must redouble efforts to ensure that resources reach those who need them most, and investing in delivery systems that improve the quality and cost-effectiveness of services. There is strong potential for existing social protection funding to make substantial gains against poverty. For emerging and developing economies (EDEs) with extreme poverty headcount below 10%, improved pro-poor targeting of existing social assistance budgets could virtually eliminate extreme poverty in these countries. And even in LICs and LMICs with extreme poverty rates from 20% to 80%, existing budgets could significantly decrease the total income shortfalls of the poorest 20% of the population. As of 2022, the income shortfall of the extreme poor in EDEs was estimated at US$163 billion (in USD 2017 purchasing power parity [PPP]). Improving the efficiency of existing social assistance spending to technically and politically feasible levels could reduce this shortfall to US$120 billion (Tesliuc et al., 2025). With increasing fiscal constraints, prioritizing high return investment is more important now than ever. Government-led Economic Inclusion (EI) programs are one such option, with long-run benefits that significantly outweigh initial costs. Niger’s EI program demonstrated a benefit-cost ratio of 127% 18 months after implementation, while in Zambia, the program costs break even with their returns in just 12 months. Assuming sustained impacts, both Niger and Zambia show positive returns on investment, at 73% and 36%, respectively (Bossuroy et al., 2022; Botea et al., 2023). How benefits reach people matters too. Digitalization of delivery systems, for example, can improve the efficiency of existing spending. In Liberia, the cash transfer program struggled with physical cash payments that took around 17 days on average and cost nearly US$8 per transfer. Now, the introduction of mobile payment has reduced delivery costs to US$2.5 per transfer and reduced the timeframe for delivery of missed payments substantially (Tesliuc et al., 2025). Prioritize progressive spending, and realize climate benefits in the process Globally, generalized subsidies on fossil fuels, agriculture, and fisheries exceed US$7 trillion (roughly 8% of global GDP); they are regressive, inefficient, expensive, and environmentally unsound (Arze del Granado et al., 2012; Damania et al., 2023). In the Middle East and North Africa, those subsidies are over five times higher than spending on cash transfers and twice as high as social assistance (Ridao-Cano et al., 2023). Redirecting inefficient fuel subsidies to social protection using dynamic and digital social registries could lead to more effective and better-targeted benefits. This also has the advantage of discouraging fossil fuel usage, thereby contributing to national and global climate goals. Egypt showcases the potential impacts of successful subsidy reform. One year after beginning to phase out fuel subsidies, the government used the resources saved to double the health budget, increase education spending by 30%, and launch a new national cash transfer program. The cash transfer program, Takaful and Karama, now reaches almost 20% of the population with targeted and effective assistance (El Enbaby et al., 2022). Continued investment in digital systems by Egypt helped to scale up this support, ensuring that those in need receive resources and services directly while minimizing wasteful expenditure on fuel subsidies. Increase the domestic tax base for social protection spending When efficiency gains and reallocation are insufficient, countries can enact appropriate tax reforms to increase domestic revenues toward adequate social protection coverage. Policy recommendations include broadening the tax base through appropriate tax reforms including a thorough fiscal incidence analysis, enhancing the progressiveness and effectiveness of the tax system, and supporting domestic revenue mobilization (World Bank, 2022). Bolivia, Botswana, Mongolia, and Zambia increased their revenue base with new taxes on natural resources that were earmarked for social protection and Brazil did likewise with a tax on financial transactions (Bierbaum and Schmitt, 2022). Efforts to increase domestic resources to broaden social protection coverage also require ringfencing progressive public spending. Social protection programs often face fierce competition across different government priorities for limited resources. Fiscal reforms therefore must come with the political will to prioritize social protection budget allocations. Citizen engagement can help: with support from United Nations International Children's Emergency Fund (UNICEF) and ILO, Mozambique adopted Social Action Budget Briefs to monitor social protection budget allocations against national strategic objectives (Bierbaum and Schmitt, 2022). Demonstrate impact to leverage climate financing Already the World Bank has investments of almost US$21 billion across 91 social protection programs with activities that help poor people respond better to the risks of climate change. We must continue to demonstrate how social protection supports poor and vulnerable people in adapting to climate change. In Ethiopia, the Productive Safety Net Program (PSNP) public works activities have reduced surface run-off, increased water infiltration, raised groundwater levels, enhanced spring yields, and increased stream base flows and vegetation coverage. Furthermore, by leveraging economic inclusion activities, the PSNP program has led to positive environmental impacts and promoted livelihood diversification and enhanced productivity, thereby decreasing people’s vulnerability to climate change. And we must continue to build the evidence that pre-emptive social protection investments and strengthening social protection systems are the best response to future shocks and crises – improving outcomes for people and the effectiveness of financing. In Pakistan, the Benazir Income Support Program (BISP), the country’s largest government-led cash transfer program, was scaled-up to provide 2.8 million families with roughly US$100 within a week of the 2022 floods. Rapid action was possible by leveraging information from the disaster risk management authorities linked to the geocoded data in the national social registry. Leverage partnerships for more effective collective action For LICs and fragility, conflict, and violence (FCV)-affected countries in particular, international support will continue to play an important role to complement efficiency gains and domestic spending. High fragmentation in donor financing calls for increased coordination in aid delivery (Watkins et al., 2024). By 2030, an estimated 59% of poor people worldwide will be concentrated in FCV-affected countries (World Bank, 2024) and humanitarian interventions play a critical role in saving lives in these settings. However, the lack of predictability and sustainability often misses opportunities to build resilience, human capital, and productivity effectively. Somalia, Ethiopia, and Yemen, among others, offer encouraging examples of collaboration in supporting and working through existing country systems (Al-Ahmadi and De Silva, 2018). In Somalia, humanitarian financing dwarfs development aid: US$1.1 billion and US$869 million, respectively, in 2018. The Somalia Baxnaano Program aims to align humanitarian and development efforts by supporting national social protection systems. Through partnership with the government, the British Foreign, Commonwealth & Development Office (FCDO), UNICEF, World Food Programme (WFP), and the World Bank, the program reached 181,000 households with cash transfers in 2021 and provided 100,000 households with emergency transfers in response to concurrent shocks in 2020 (Al-Ahmadi and Zampaglione, 2022). Countries at all income levels will benefit from promoting a larger role for the private and financial sectors to increase available financing. One option we are exploring in that context is the potential of innovative financing mechanisms, such as impact bonds, sovereign wealth funds, debt swaps, and Payment for Ecosystem Services (PES) (Watkins et al., 2024). Coordination on the knowledge agenda will be crucial to make the most effective use of available resources. We must leverage, share, and coordinate analysis, evidence, data, technical assistance, and implementation support across national stakeholders and international partners. It is critical that we work together to build the evidence base for effective social protection at the global, national, regional, and local levels, scaling up what works, and reforming what does not. Financing reform for shared prosperity There is no one-size-fits-all solution to the massive social protection financing challenge. We need to carefully analyze how to make the best use of scarce social protection resources, whether at the global, national, or local level. We also need to leverage more resources – both domestically and through partners and the private sector – to invest in social protection responses to the permacrises that we face, with climate and fragility high among these challenges. Partnerships, knowledge sharing, and collaboration are key to learning, scaling up and expanding what works and improving what does not. Overall, strengthening and expanding social protection systems are critical as we work together to end extreme poverty on a livable planet. FootnotesDisclaimer The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the World Bank, its executive directors, or the governments they represent.1. The estimated population of the 144 World Bank client countries is 6.8 billion.ReferencesAl-Ahmadi AA, De Silva S (2018) Delivering social protection in the midst of conflict and crisis: The case of Yemen. Social protection and jobs discussion paper, no. 1801. Washington, DC: World Bank. Available at: http://hdl.handle.net/10986/30608License:CCBY3.0IGOAl-Ahmadi AA, Zampaglione G (2022) From protracted humanitarian relief to state-led social safety net system: Somalia Baxnaano Program. Social protection and jobs discussion paper, no. 2201. Washington, DC: World Bank. Available at: http://hdl.handle.net/10986/36864License:CCBY3.0IGOArze del Granado FJ, Coady D, Gillingham R (2012) The unequal benefits of fuel subsidies: A review of evidence for developing countries. World Development 40(11): 2234–2248.Bierbaum M, Schmitt V (2022) Investing more in universal social protection. Filling the financing gap through domestic resource mobilization and international support and coordination. Working paper no. 44. International Labour Organization (ILO). Available at: https://www.ilo.org/publications/investing-more-universal-social-protection-filling-financing-gap-throughBossuroy T, Goldstein M, Karimou B, et al. (2022) Tackling psychosocial and capital constraints to alleviate poverty. Nature 605: 291–297. Available at: https://doi.org/10.1038/s41586-022-04647-8Botea I, Brudevold-Newman A, Goldstein M, et al. (2023) Supporting women’s livelihoods at scale: Evidence from a nationwide multi-faceted program. SSRN scholarly paper. Rochester NY. Available at: https://papers.ssrn.com/abstract=4560552Damania R, Balseca VE, De Fontaubert C, et al. (2023) Detox Development: Repurposing Environmentally Harmful Subsidies (English). Washington, DC: World Bank Group. http://documents.worldbank.org/curated/en/099061523102097591/P1753450ec9e820830aba2067262dab24bfEl Enbaby H, Elsabbagh D, Gilligan D, et al. (2022) Impact evaluation report: Egypt’s Takaful cash transfer program. IFPRI ENA regional working paper no. 40. Available at: https://ebrary.ifpri.org/utils/getfile/collection/p15738coll2/id/136395/filename/136607.pdfInternational Labour Organization (ILO) (2021) World Social Protection Report 2020-22. Available at: https://www.ilo.org/resource/news/more-4-billion-people-still-lack-any-social-protection-ilo-report-findsRidao-Cano C, Moosa D, Pallares-Miralles M, et al. (2023) Built to Include: Reimagining Social Protection in the Middle East and North Africa. Washington, DC: World Bank. Available at: http://hdl.handle.net/10986/40227Tesliuc ED, Rodriguez A, Claudia P, Rigolini J (2025) State of Social Protection Report 2025: The 2-Billion-Person Challenge. Washington D.C.: World Bank Group.Watkins K, Nwajiaku-Dahou K, Kovach H (2024) Financing the fight against poverty and hunger – Mobilising resources for a Sustainable Development Goal reset. ODI report, ODI, London, 24 July.World Bank (2022) Charting a Course Towards Universal Social Protection: Resilience, Equity, and Opportunity for All. Washington, DC: World Bank Group. Available at: http://hdl.handle.net/10986/38031World Bank (2024) The Great Reversal: Prospects, Risks, and Policies in International Development Association (IDA) Countries. Washington, DC: World Bank Group.

Energy & Economics
Amsterdam, The Netherlands - Thursday, August 27, 2020 - Photo of early edition book, Adam Smith The Wealth of Nations

The Relationship Between Energy and Capital: Insights from The Wealth of Nations

by Simon Mair

Abstract To deliver low-carbon transitions, we must understand the dynamics of capital. To this end, I develop a theory of energy-capital relations by reading Adam Smith’s The Wealth of Nations from an energy-analysis perspective. I argue that, for Smith, capital is any resource used to support production with the intention of generating profits through market exchange. In The Wealth of Nations, capital enables access to new sources of energy and increases energy efficiency. This theory of energy-capital relations explains trends seen in historical energy data: because it is profit driven, capital does not save energy, it redirects it to new uses. This suggests that low-carbon investment can only enable a low-carbon transition if coupled to a systematic challenge to the profit drive.JEL Classification: B12, O44, P18, Q43, Q57Keywordseconomic growth, low-carbon transitions, Adam Smith, history of economic thought, capital, energy, capitalism 1. Introduction: Energy, Capital and Low-Carbon Transitions Under Capitalism To date, the green rhetoric of states and companies has not led to meaningful reductions in carbon emissions. In absolute terms, annual global carbon emissions from fossil fuels increased from ~6 gigatons of carbon per year in 1990 to ~10 gigatons of carbon per year in 2022 (Friedlingstein et al. 2023). Carbon emissions are largely driven by the energy system that supports the capitalist economy, and there is no evidence that this is decarbonizing at the global scale. In 2020, fossil fuels accounted for around 80 percent of total world energy supply, the same figure as in 1990 (IEA 2022). In 2022 carbon emissions from fossil fuels accounted for around 90 percent of total global carbon emissions, up from 80 percent in 1990 (Friedlingstein et al. 2023). Carbon emissions from energy and industrial processes hit an all-time high in 2023 (IEA 2024). To change this increasingly dire picture, it is essential that we understand the economic drivers of emissions, and what economic changes are needed to reverse current trends. There is disagreement over the extent and nature of economic change needed to facilitate a low-carbon energy transition. Radical economists agree that the global reliance on fossil fuels will require going beyond market-based solutions (Li 2011; Pianta and Lucchese 2020; Pollin 2019). But this still leaves us with a broad spectrum of options (Chester 2014). Can a low-carbon transition be implemented within a broadly capitalist framework if it is guided by an interventionist industrial strategy (Pollin 2015)? Or does it require changes to fundamental capitalist dynamics (Davis 2019; Riley 2023)? To cast new light on these debates, I take a step back from the immediate issues and take a history of economic thought approach. To this end, I explore the relationship between capital and energy in Adam Smith’s (1975) The Wealth of Nations. I use the resulting view of energy-capital relations to put forward an explanation of how energy use has developed under capitalism, and to explain why a low-carbon transition is unlikely without addressing core capitalist dynamics. The decision to develop the analysis of energy-capital relations from The Wealth of Nations is grounded in the more general epistemological claim that returning to older works of economic theory is a useful way to conduct economic analysis. Blaug (1990) reminds us that all current economic theory is built from seldom read historical texts, and historians of economic thought have argued that revisiting these texts offers the opportunity to uncover new ways of interpreting key ideas, providing theoretical context that may have been forgotten (Bögenhold 2021; Schumpeter 1954). Additionally, actively engaging with historical thought presents the possibility for moments of creativity as old and new ideas are brought together. For example, Mair, Druckman, and Jackson (2020) use an analysis of economic ideas in utopian texts from the twelfth to nineteenth centuries to develop a vision of work in a post-growth future, and Stratford (2020, 2023) develops a theory of rents and resource extraction grounded in an analysis of the historical evolution of the concept of rent. The general approach of critical engagement with history of thought is perhaps best developed in the Marxist literature, where a substantive body of work draws on Marx’s writings to critically explore environment-economy relationships (e.g., Malm 2016; Moore 2017; Pirgmaier 2021; Saitō 2022). On the other hand, relatively little attention has been paid to Adam Smith in the context of ecological or environmental economic analysis. Most recent interest in Smith’s environmental thought has come from environmental historians (see Steeds 2024 for a review). However, Steeds (2024), building on Jonsson (2014), has made the case for reading Smith as an ecological economist, arguing that Smith shares core ontological precepts of the discipline—notably that it is the environment that underpins all economic activity. Smith (1975) is particularly relevant to debates about low-carbon transitions because The Wealth of Nations is the starting point for an interpretation of capital theory that has become widely used in energy-economy analyses. Capital theory itself has a long and storied history, with analysts giving it a variety of characteristics (Cannan 1921; Kurz 1990; Mair 2022). Contemporary economic analyses of energy generally use a physical concept of capital. A common position for economists who focus on energy is that energy is important because energy use and capital are “quantity complements”: all else equal, when capital increases the energy used in production increases (Elkomy, Mair, and Jackson 2020; Finn 2000; Sakai et al. 2019). Conceived of as “representative machinery,” capital is seen as the physical stuff that channels energy use into production (Keen, Ayres, and Standish 2019: 41). Or as Daly (1968: 397) puts it, “physical capital is essentially matter that is capable of trapping energy and channeling it to human purposes.” This physical conception has its roots in the dominant interpretation of capital from The Wealth of Nations. Prior to The Wealth of Nations, capital was a predominantly monetary construct, but historians of economic thought argue that after The Wealth of Nations, capital is taken to be predominantly physical (Hodgson 2014; Schumpeter 1954). However, I argue that Smith’s view of capital is actually a long way from the almost purely physical views seen in much energy-economy work. Rather, Smith’s view of capital is proto-Marxist. As Evensky (2005: 141) puts it, “Whether or not it was from Smith that Marx developed his notion of capital as self-expanding value, the outlines of that conception were certainly available to him in Smith.” From Smith’s perspective, capital is defined primarily as a socio-physical construct (Blaug 1990; Evensky 2005; Meek 1954). Capital sometimes has physical forms, which enables it to interact with flows of energy, but these are always conditioned by the social dynamics of profit and exchange. Making a direct connection to energy requires reading Smith from the contemporary perspective of energy-economy analysis as developed by the subdisciplines of ecological, biophysical, and exergy economics (Brockway et al. 2019; Jackson 1996; Keen, Ayres, and Standish 2019; Smil 2017a). This is because, as a construct, “capital” pre-dates “energy,” and Smith was writing before the first recorded use of the term energy as we would understand it today (by physicist Thomas Young in 1807, see: Frontali 2014). So although work into energy—particularly among ecological economists and their forerunners in energy systems analysis (Cleveland et al. 1984; Odum 1973; Sakai et al. 2019)—uses a concept of capital that has its roots in an interpretation of Smith’s capital theory, explicit links are missing in Smith’s text. Despite this, Steeds (2024) argues that Smith’s analysis of agriculture shows an understanding of what contemporary analysts would call energy, a theme I develop here focusing on Smith’s conceptualization of capital. The rest of this article is structured as follows. In section 2, I set out an interpretation of Smith’s capital theory from The Wealth of Nations that emphasizes the way it sees physical elements of capital as defined by social forces. In section 3, I outline the ways that energy fits into Smith’s theory of capital. This is the first contribution of the article, as I make novel links between Smith’s capital theory and contemporary energy-economy analysis. In section 4, I apply this interpretation of energy-capital relations to the historical evolution of energy use under capitalism, and the question of low-carbon transitions. This is the second contribution of the article, as I argue that Smith’s capital theory highlights the importance of the social context of energy systems. Specifically, it provides compelling explanations for the phenomenon of “energy additions”—where past “transitions” under capitalism have been associated with the overall growth of energy use (York and Bell 2019). This implies that the challenge of a low-carbon transition is not only investment in low-carbon energy systems but in challenging the logic of capitalism such that low-carbon energy can replace, rather than add to, the use of high-carbon energy. 2. Capital as a Socio-physical Construct in The Wealth of Nations Interpretations of Smith’s capital theory generally emphasize its physical aspects (e.g., Cannan 1921; Hodgson 2014; Schumpeter 1954). These readings focus on Smith’s initial description of capital as a subset of the accumulation of the physical outputs of production (in Smith’s terminology “stock” [cf. Smith 1975: 279]), and the skills and abilities of workers (Smith 1975: 282). The focus on physical aspects of Smith’s capital theory makes sense from a history of ideas perspective. The physical aspects of Smith’s capital stand in contrast with earlier definitions that were primarily monetary (Hodgson 2014). There is also an intellectual lineage that can be traced in Smith’s views on capital, principally through Smith’s relationship with the French Physiocratic school whose own economic analysis emphasized physical flows (Meek 1954; Schumpeter 1954). However, the fact that Smith introduced a new role for physical goods within a broader concept of capital does not imply that Smith’s theory of capital was purely physical (Robinson 1962). Rather, Smith views capital as the accumulated monetary and physical resources that are brought into production to generate a profit. To see this, let us look first at Smith’s view of circulating capital. Smith splits capital into two forms, circulating and fixed, and he is explicit that circulating capital has both monetary and physical forms. For Smith, circulating capital is defined by the fact that to turn a profit from it, its owner must give it up in exchange for something else. Consequently, circulating capital takes multiple forms: it is the money that will be used to pay wages to a worker, the product produced by that worker, the money realized at the point of sale of the product, and the commodities purchased using the money realized. As Smith (1975: 279) puts it, circulating capital is continually going from the capitalist “in one shape, and returning to him in another. . . it is only by means of such circulation. . . that it can yield him any profit.” Circulating capital is a process of purchasing and selling resources, often with a monetary form, in order to make more money (Evensky 2005). Circulating capital has different forms (some physical, some not) at different points in its circulation, but it is consistently capital. Even when capital takes on its physical form, for Smith it is the underlying social dynamics of exchange and profit that define it as capital. In his opening to book 2, Smith argues that capital is an emergent property of exchange-based economies (Smith 1975: 276). In a society with no division of labor, he argues, people are self-sufficient, and there is very little exchange. But once you have a division of labor, you get exchange because each worker uses their labor to produce a subset of the goods needed to live. Other workers use their labor to produce a different subset of goods. The two then trade with one another to ensure all their needs are met. Drawing on the work of the Physiocrats, Smith then observes that production takes time (Schumpeter 1954). Consequently, in a market system, the purchasing of goods from other people “cannot be made till such time as the produce of his own labor has not only been completed, but sold” (Smith 1975: 276). This means that in either a monetary or barter economy, there has to be a stock of physical goods previously accumulated in order to enable work to happen before the products of that work have been sold (or are available for barter). For Smith, these goods are a form of capital. In this sense, capital can be physical commodities—but physical commodities accumulated in order to support exchange. For Smith, profits are also an essential part of the definition of capital (Meek 1954). Whether fixed or circulating, physical or monetary, what makes something capital is the desire of the capitalist to earn money from it (e.g., Smith 1975: 281, 332). Smith’s theory of profit is scattered through The Wealth of Nations and is not entirely comprehensive (Blaug 1990; Christensen 1979). However, Smith does identify a construct called profits with some core tendencies that are sufficient to group him in the classical approach to profit as surplus and deduction (Hirsch 2021; Kurz 1990; Meek 1977). For Smith, surplus is primarily derived from the value that labor adds to raw materials. This value then goes to pay the wages of the worker and other costs of production, one of which is “the profits of their employer” (Smith 1975: 66). So, Smith’s theory of profit is deductive. Profit is the money capitalists attempt to gain back from production after all costs—including wages—have been accounted for (Meek 1977). An important addition here is that the profit drive for Smith is speculative: capitalists bring capital to support production because they “expect” to generate more money (Smith 1975: 279, 332)—it is not guaranteed. The attempt to gain profit is because capitalists use this as their income (cf. Smith 1975: 69, 279). This attempt is central to the dynamics of capital because profit is the “sole motive” that a capitalist has for bringing their resources into the exchange cycle of the economy (Smith 1975: 374). To summarize, for Smith, capital is the accumulated resources (whether physical or monetary) brought to bear in support of exchange-based production, the ultimate aim of which is to provide the owner of capital with an income (profits). Consequently, it is not correct to view Smith’s capital theory as purely or even predominantly physical. Rather Smith’s capital is a socio-physical construct. This interpretation is not a refutation of other readings that emphasize the physical aspect of Smith’s theory. The physical elements are present, are important, and are relevant to our discussion of energy. However, the underlying premise is always that these physical elements are defined by social relations of profits and exchange. This analysis fits with readings of Smith that see his capital theory as proto-Marxist because of the way it frames capital in terms of social relations (Hodgson 2014; Pack 2013; Tsoulfidis and Paitaridis 2012). But it strongly cautions away from discussions of capital that abstract from these social relations in ways that leave capital as purely physical things. As with Marx (2013), when Smith talks about capital as physical things, his focus is on the way the physical interacts with social relations. 3. How Does Energy Fit into Smith’s Capital Theory? Having sketched an interpretation of Smith’s capital theory focusing on the interplay of profit, exchange dynamics, and monetary and physical resources, we can turn to the question of how energy fits into Smith’s capital theory. In this section, I draw on energy-economy analysis to suggest two key ways in which energy might fit into Smith’s capital theory: 1. Capital is used to bring new energy sources into production.2. Capital is used to make existing energy flows more efficient. 3.1. Accessing new energy sources For Smith, one of the key ways that capitalists aim to generate profits from capital is by using it to increase labor productivity (in Smith’s terms “abridging” labor, see: Smith 1975: 17, 282). Here we have a link to energy-economy analysis, where labor productivity is often described in terms of substituting human labor for other forms of energy—since the industrial revolution this has typically happened through some form of fossil fuel–powered machinery (Smil 2017a). Smith discusses machinery in a number of places across The Wealth of Nations. Indeed, Kurz (2010: 1188) writes that one of Smith’s key growth mechanisms is the replacement of “labor power by machine power.” In chapter 11 of book 1 of The Wealth of Nations (Smith 1975: 263), Smith discusses how cloth production in Italy was made more productive than in England by employing wind and water mills in the former, while the latter treaded it by foot. This is the same example pointed to by energy scientist Vaclav Smil (2017a), who argues that the introduction of waterwheels into industrial production were a source of substantive labor productivity growth. Energy-analysis allows us to say why the wind and water is more productive than the treading. Energy provides a variety of functions, known as “energy services,” which are essential for production processes (Grubler et al. 2012). These are intuitive when put in the context of everyday experiences: achieving a comfortable temperature in an office or workplace requires thermal energy. Transporting goods or people requires kinetic energy. In the case of cloth production, the fulling process requires kinetic energy to manipulate the fibers of the cloth. To deliver energy services, energy sources go through a series of transformations, known as the conversion chain (Brockway et al. 2019; Grubler et al. 2012). Energy is accessible to us through different carriers—known as primary energy sources (such as food, oil, or gas). In most use cases primary energy sources are then converted into other forms before delivering their service (Smil 2017b). This conversion is done by “conversion technologies.” Muscles are a “technology” that can be used to convert the chemical energy in food into mechanical energy. Oil or solar energy may be converted into electricity. Different economic processes may use multiple forms of energy with energy from multiple carriers requiring transformation multiple times. From the perspective of increasing labor productivity, what is important is having energy available to do “useful” work (meaning provide the specific energy services that serve the interests of the system) (Brockway et al. 2019). The more energy available to do useful work, the more economic activity can be carried out per person. One way to increase the amount of useful energy available is by adding new primary energy sources to the system. This process often requires new conversion processes that enable the energy in the primary energy sources to be accessed and converted into energy services. In the case of cloth production, the introduction of wind or water mills is an example of capital taking the form of a new conversion technology that enables access to a different primary energy source (Smil 2017b). In the human-powered treading process, solar energy is converted into chemical energy through the agricultural system. The chemical energy in food products acts as the primary energy source. People then eat this food, converting it to mechanical energy that manipulates the cloth as they tread it under foot. On the other hand, a wind or water mill introduces a new conversion technology that enables access to the energy available in wind and water by converting it into mechanical energy. Note that this process is not only about energy efficiency. Wind and water mills are typically more energy efficient than human-power, but just as crucially they are more powerful: they bring a greater quantity of energy into the process of cloth production (Smil 2017b). The importance of scale is seen across energy-economy analysis. Hall and Klitgaard (2012: 117) draw on Polyani’s (1944) substantive definition of an economy to argue that all economic activity is the application of work to transform natural resources into goods and services. In the past, most of the work of transformation was done through muscle-power, but today muscle-power is a much smaller proportion of total work carried out because of the development of machinery that allows us to supplement our muscles with the “‘large muscles’ of fossil fuels.” 3.2. Increasing energy efficiency There are places in The Wealth of Nations where we might hypothesize about energy efficiency gains explicitly. For instance, Smith tells an apocryphal tale involving a child and a fire engine, presented as an example of innovation leading to labor productivity growth. Smith writes that in the earliest fire engines a boy would be employed to open and shut different valves, until one such boy finds a way to connect the valves such that they “open and shut without his assistance” (Smith 1975: 20). Such an innovation adjusts capital in order to enable it to convert more of the primary energy source into useful energy. Prior to the boy’s innovation, the system required two primary energy inputs: the fossil energy to power the machine, and the food energy to power the boy. Once the boy innovates, the primary energy associated with his action is removed from the process and the machine uses only the fossil energy, thus increasing its overall energy efficiency. But machinery is not the only way in which humans’ access and turn energy flows toward growth of the economy in Smith’s capital theory. Smith considers the useful abilities of workers to be a form of capital and here we can see another place where energy efficiency may fit into Smiths capital theory. When defining the useful abilities of workers Smith refers to dexterity: the skills and abilities acquired by workers through the repetition and simplification of tasks. When defining dexterity Smith talks about it in terms of efficiency gains. For example, a worker specializing in the production of nails will become more skilled in their production, and hence more efficient (Smith 1975: 18). But nowhere does Smith imply that an increase in dexterity is miraculous. And although it is intimately bound up with social organization through the division of labor, we can see how energy may fit into the process. Specifically, the increase in dexterity can be understood as partly a function of the fact that energy flows are being used more efficiently. Workers learn the best way to stir the fire, to heat iron and shape the head of the nail. An increase in the skill of a worker enables them to use energy more efficiently. In this way, more efficient use of energy flows can be seen as one of the ways that the division of labor enables increases in productivity. 3.3. Summary of the energy-capital relation in The Wealth of Nations Smith views capital as the monetary and physical resources that are brought by capitalists into exchange processes with the intention of generating an income for themselves. Smith, like Marx, is clear that all production ultimately rests on inputs from the natural environment, so it is not surprising that in The Wealth of Nations we found examples of a subset of capital that generates profits by changing the way energy is used in production processes. Specifically, I presented two mechanisms that can be identified in The Wealth of Nations: bringing new energy sources into the economy (the transition from human power to wind and waterpower in the fulling process), and being made more energy efficient (through machinery innovations and specialization of labor). We can now apply this interpretation of Smith’s energy-capital theory to the question of low-carbon transitions. The examples I have elaborated support Steeds (2024: 35) notion that Smith has an “intuitive” understanding of energy. Some of the critical functions of Smith’s conception of capital can be explained in terms of how it mediates our relationship to energy. In this way, Smith’s reading is close to more modern accounts of the role of energy (Keen, Ayres, and Standish 2019, Sakai et al. 2019). But what differentiates Smith’s from these accounts is an explicit emphasis on the social context in which energy is used by capital. Some accounts of the energy-economy relationship effectively, or explicitly, reduce production to energy use. In Smith’s account by contrast, energy use is framed and shaped by social forces. Recalling Smith’s core understanding of capital from section 2, it is clear that energy is being harnessed by capital in an attempt to generate profits within a market process. In other words, in a capitalist economy where most production follows the logic of capital, the major driver of energy use will be the attempt to generate incomes for the owners of capital. This insight, though simple, is often overlooked and has profound implications for a low-carbon transition. 4. A Smithian Analysis of Low-Carbon Transitions Under Capitalism In this section, I apply the insights from the reading of Smith’s capital theory to historical data on energy use under capitalism. I argue that the theory provides a simple and compelling explanation for the constant expansion of energy use as new forms of energy have been added to the mix. Capitalists seek to use energy to grow their profits; therefore, they invest in efficiency measures or new energy sources in order to increase the total energy available to them. Energy is never saved in the sense of not being used. Rather, it is made available to new profit-seeking ventures. Across both mainstream and radical interventions into low-carbon transition debates, there is often a focus on the investment needed to grow low-carbon and energy efficiency programs (e.g., Hrnčić et al. 2021; Pollin 2015, 2019; Qadir et al. 2021). The central argument in these works is that low-carbon transitions require substantial but not unreasonable levels of investment in low-carbon energy and energy efficiency programs. Approaching this from the perspective of energy-capital relations developed in this article, we are looking at the need to transition capital from one conversion technology to another. Today, much capital takes the form of conversion technologies designed to access the energy in fossil fuels. For a low-carbon economy we need capital to take the form of conversion technologies that can access energy in wind, solar, or other low-carbon forms. It is tempting to think about this in terms of the transition described by Smith from labor power to wind power in the fulling process. However, there is a fundamental difference between the transition from one energy source to another as developed in The Wealth of Nations, and that needed in the low-carbon transition. Historically, transitions between dominant energy sources under capitalism have been consistent with Smith’s argument that capital is only motivated by the desire for profit. Past energy transitions under capitalism have been driven by a search for greater profits enabled by the new energy sources, not by pro-social or pro-ecological values. For example, Malm (2016) argues that the English transition from wood to water was driven by the desire of capitalists to concentrate and better control their workforce, simultaneously reducing losses from theft, making workers more efficient, and bringing a greater scale of energy into the production process. The consequence of the consistent searching for profits in capitalist energy transitions is that we have very few examples of energy sources declining under capitalism at the macro-scale. Under capitalism, energy transitions are better described as energy additions (York and Bell 2019). In recent decades, there has been a remarkable growth in the use of low-carbon energy sources, but at no point in this period has energy production from fossil fuels decreased (figure 1; Malanima 2022). Indeed, looking at the evolution of 9 categories of primary energy sources since 1820 (figure 1), only fodder has seen a prolonged decrease under capitalism. For instance, in absolute terms, energy from coal overtakes fuelwood as the largest primary energy carrier in the late 1800s. But after this point the energy supplied by fuelwood continues to grow. Even in the case of fodder, although it has been in decline for approximately sixty years it still provided more than twice as much energy in 2020 than it did in 1820. Looking specifically at low-carbon fuels, the charts for renewables and nuclear energy show dramatic spikes and rapid growth. But these spikes do not coincide with declines in any other fuel source, and the International Energy Agency (IEA 2023a, 2023b) reports that 2022 was an all-time high for coal production, and forecasts record oil production in 2024.   Figure 2 depicts global energy efficiency, the scale of global production, and the total primary energy use 1820–2018. Energy efficiency of the global capitalist economy has improved drastically over the two-hundred-year period covered: in 2018, producing one unit of output took only 40 percent of the energy it would have taken in 1820. But as energy efficiency has grown, so has total energy use and total output, and these changes dwarf the gains in energy efficiency. In 2018, 41 times as much energy was used as in 1820, while global production grew by 2 orders of magnitude over the same period.   From the lens of our interpretation of Smith’s capital theory, the constant expansion of fossil fuel use alongside renewables and energy efficiency gains is not surprising. The purpose of capital development and deployment in our Smithian lens is to increase income for capitalists by facilitating exchange. So, we would expect capitalists to invest in capital that enables them to access new sources of energy, like renewables, in order to bring a greater scale and quantity of energy into production. But we would also expect them to continue to invest in fossil fuels for the same reasons. More energy means more production means more profit. Likewise, we would expect capitalists to use their capital to increase energy efficiency: this reduces their costs. But we would also expect capitalists to take subsequent energy savings and use them to increase production further. As energy is used more efficiently in any given process, more energy is available to be used elsewhere in the economy or, as new energy sources are brought into production, the old sources are made available for new processes (Garrett 2014; Sakai et al. 2019; York and Bell 2019). As long as the capitalist appetite for greater incomes is present, they will seek to direct energy “savings” into new or expanded forms of production. The practical implication of this theoretical analysis is that investment in low-carbon energy sources and energy efficiency measures—no matter how bold the proposals—will not succeed without a change to the social dynamics of capitalist production. Achieving a low-carbon transition therefore requires the formidable task of coupling a large and sustained investment program in renewables and energy efficiency with a challenge to the structural logic of capital. This requires wide-ranging shifts within capitalist economies to build low-carbon energy infrastructure and develop ways of producing that disrupt the constant profit chasing of capital. The former is required to ensure action can begin now, while the latter is needed to ensure that low-carbon investments do not simply continue to expand the energy base of capitalist production. Elaborating on such possibilities is beyond the scope of this article. However, there are research programs that seek to understand alternatives to profit-driven capitalist production, notably work in post-capitalism and the post-growth/degrowth literatures that identify noncapitalist logics of production (Gibson-Graham 2014; Colombo, Bailey, and Gomes, 2024; Mair 2024; Vandeventer, Lloveras, and Warnaby 2024). A useful future direction for research lies in asking how such non-capitalist modes of production might be scaled and applied to the global energy system. 5. Conclusion In this article I have used a history of economic thought approach to analyze the relationship between energy and capital. Rereading The Wealth of Nations, I argued that Smith’s theory of capital is fundamentally socio-physical. Smith views capital as any accumulated resource that is used to support the exchange cycle of the market economy with the expectation that this will return a profit for the owner of the resource. Based on this reading, I argued that there are two ways in which energy might enter into Adam Smith’s capital theory: (1) capital is used to bring new energy sources into production; and (2) capital is used to make existing energy flows more efficient. Using this view of energy-capital relations, we can explain the major trends in historical energy-capital relations under capitalism. Over the last two hundred years, energy use has grown continuously, and the incorporation of new primary energy sources has not systematically led to reductions in older primary energy sources. This is consistent with the idea that capital is used to bring new energy sources into production. Investment in renewables is what we would expect: renewable energy technology allows capitalists to access new primary energy sources. They use this to generate more profits. They continue to invest in fossil fuel technology for the same reasons. Over the last two hundred years, there have been substantive gains in energy efficiency, and these have not led to reductions in energy use. This is consistent with the idea that capital is used to make energy use more efficient. The motivation of capitalists to make energy more efficient is to be more profitable. They then take energy savings from energy efficiency gains and use these to increase production, in an attempt to make more profits. The implication of this analysis is that investment in low-carbon technology and energy efficiency is the (relatively!) easy part of achieving a low-carbon transition. These dynamics are fundamentally compatible with the logics of capital. The barrier to achieving a low-carbon transition is that as long as this investment takes the form of “capital” (i.e., it chases profits and supports exchange processes), then it is unlikely that investment in renewables or energy efficiency programs will reduce energy use from fossil fuels. To achieve a low-carbon transition we must invest in low-carbon technology and energy efficiency, while simultaneously developing new organizational forms that challenge the capitalist dynamics of expansion and accumulation. AcknowledgmentsI would like to thank Christiane Heisse, Don Goldstein, and Robert McMaster, for their careful reviews and Enid Arvidson for her editorial work, all of which greatly improved the article. I would like to thank participants of the workshops Economic Theory for the Anthropocene (organized by the Centre for the Understanding of Sustainable Prosperity and the University of Surrey Institute for Advanced Studies) and The Political Economy of Capitalism (organized by the Institute for New Economic Thinking Young Scholar Initiative working groups on the Economics of Innovation and Economic History). Particular thanks to Richard Douglas, Angela Druckman, Ben Gallant, Elena Hofferberth, Tim Jackson, Andy Jarvis, Mary O’Sullivan, and Elke Pirgmaier for fruitful discussions. I would like to thank the Marxist Internet Archive for making The Wealth of Nations freely available.Declaration of Conflicting InterestsThe author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.FundingThe author disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was partly funded by the Economic and Social Research Council through the Centre for the Understanding of Sustainability, grant no. ES/M010163/1.ORCID iDSimon Mair https://orcid.org/0000-0001-5143-8668Note1 The full sources for the Maddison Project Database are Abad and Van Zanden (2016); Álvarez-Nogal and De La Escosura (2013); Baffigi (2011); Barro and Ursúa (2008); Bassino et al. (2019); Bértola et al. (2012); Bértola (2016); Broadberry et al. (2015); Broadberry, Custodis, and Gupta (2015); Broadberry, Guan, and Li (2018); Buyst (2011); Cha et al. (2022); Chilosi and Ciccarelli (2021); De Corso (2013); de la Escosura (2009); Díaz-Bahamonde, Lüders, and Wagner (2007); Eloranta, Voutilainen, and Nummela (2016); Fourie and Van Zanden (2013); Fukao et al. (2015); Fukao, Ma, and Yuan (2007); Gregory (2004); Grytten (2015); Herranz-Loncán and Peres-Cajías (2016); Ivanov (2008); Kostelenos et al. (2007); Krantz (2017); Malanima (2011); Malinowski and van Zanden (2017); Markevich and Harrison (2011); Milanovic (2011); Pamuk and Shatzmiller (2011); Pamuk (2006); Prados De la Escosura (2017); Ridolfi (2017); Santamaría (2005); Scheidel and Friesen (2009); Schön and Krantz (2016); Shah (2017); Smits, Horlings, and Van Zanden (2000); Stohr (2016); Sugimoto (2011); Van Zanden (2012); Van Zanden and Van Leeuwen (2012); Ward and Devereux (2012); Wu (2013); Xu et al. (2017).ReferencesAbad Leticia Arroyo, Luiten Jan, Zanden Van. 2016. Growth under extractive institutions? Latin American per capita GDP in colonial times. The Journal of Economic History 76 (4): 1182–215. Álvarez-Nogal Carlos, Prados De La Escosura Leandro. 2013. The rise and fall of Spain (1270–1850). The Economic History Review 66 (1): 1–37. Baffigi Alberto. 2011. Italian National Accounts, 1861-2011. Economic History Working Paper no. 18. Rome: Bank of Italy. https://www.bancaditalia.it/pubblicazioni/quaderni-storia/2011-0018/index.html?com.dotmarketing.htmlpage.language=1. Barro Robert J., Ursúa José F. 2008. Macroeconomic Crises Since 1870. NBER Working Paper no. 13940. Cambridge, MA: National Bureau of Economic Research. https://www.nber.org/papers/w13940 Bassino Jean-Pascal, Broadberry Stephen, Fukao Kyoji, Gupta Bishnupriya, Takashima Masanori. 2019. Japan and the great divergence, 730–1874. Explorations in Economic History 72: 1–22. Bértola Luis. 2016. El PIB per cápita de Uruguay 1870–2015: Una Reconstrucción. Programa de Historia Económica y Social Unidad Multidisciplinaria Working Paper no. 48. Montevideo, Uruguay: Universidad de la República. Accessed at https://www.colibri.udelar.edu.uy/jspui/handle/20.500.12008/27146.Bértola Luis, Antonio Ocampo José, Bértola Luis, Antonio Ocampo José. 2012. The Economic Development of Latin America Since Independence. Initiative for Policy Dialogue. Oxford: Oxford University Press. Blaug Mark. 1990. Economic Theory in Retrospect. Cambridge: Cambridge University Press.Bögenhold Dieter. 2021. History of economic thought as an analytic tool: Why past intellectual ideas must be acknowledged as lighthouses for the future. In Neglected Links in Economics and Society: Inequality, Organization, Work and Economic Methodology, ed. Dieter Bögenhold, 161–80. Cham, Switzerland: Springer International. Broadberry Stephen, Campbell Bruce M. S., Klein Alexander, Overton Mark, Van Leeuwen Bas. 2015. British Economic Growth, 1270–1870. Cambridge: Cambridge University Press.Broadberry Stephen, Custodis Johann, Gupta Bishnupriya. 2015. India and the great divergence: An Anglo-Indian comparison of GDP per capita, 1600–1871. Explorations in Economic History 55: 58–75. Broadberry Stephen, Guan Hanhui, Daokui Li David. 2018. China, Europe, and the great divergence: A study in historical national accounting, 980–1850. The Journal of Economic History 78 (4): 955–1000. Brockway Paul, Sorrell Stephen, Foxon Timothy, Miller Jack. 2019. Exergy economics—New insights into energy consumption and economic growth. In Transitions in Energy Efficiency and Demand: The Emergence, Diffusion, and Impact of Low-Carbon Innovation, eds. Kirsten E. H., Debbie Hopkins Jenkins, 133–55. Abingdon, UK: Routledge.Buyst Erik. 2011. Towards estimates of long-term growth in the southern low countries, ca. 1500–1846. Results presented at the Conference on Quantifying Long Run Economic Development, Venice, March 22–24.Cannan Edwin. 1921. Early history of the term capital. The Quarterly Journal of Economics 35 (3): 469–81 Cha Myung Soo, Nyeon Kim Nak, Park Ki-Joo, Park Yitaek. 2022. Historical Statistics of Korea. Singapore: Springer. Chester Lynne. 2014. To change or reform capitalism: Addressing the ecological crisis. Review of Radical Political Economics 46 (3): 406–12. Chilosi David, Ciccarelli Carlo. 2021. Southern and Northern Italy in the Great Divergence: New Perspectives from the Occupational Structure. Bank of Italy Economic History Working Paper no. 47. Rochester, NY: SSRN-Elsevier. https://ssrn.com/abstract=3852318.Christensen Paul P. 1979. Sraffian themes in Adam Smith’s theory. Journal of Post Keynesian Economics 2 (1): 94–109. Cleveland Cutler, Costanza Robert, Hall Charles, Kaufmann Ralph. 1984. Energy and the US economy: A biophysical perspective. Science 225 (4665): 890–97. Colombo Laura, Bailey Adrian, Gomes Marcus. 2024. Scaling in a post-growth era: Learning from Social Agricultural Cooperatives. Organization 31 (6): 907–28. Daly Herman. 1968. On economics as a life science. Journal of Political Economy 76 (3): 392–406. Davis Ann E. 2019. Salvation or commodification? The role of money and markets in global ecological preservation. Review of Radical Political Economics 51 (4): 536–43. De Corso Giuseppe. 2013. Venezuelan economic growth from the conservative oligarchy to the Bolivarian revolution (1830–2012). Revista de Historia Económica [Journal of Iberian and Latin American Economic History] 31 (3): 321–57.de la Escosura Leandro Prados. 2009. Lost decades? Economic performance in post-independence Latin America. Journal of Latin American Studies 41 (2): 279–307. Díaz-Bahamonde José, Lüders Rolf, Wagner Gert. 2007. Economía Chilena 1810–2000. Producto Total y Sectorial. Una Nueva Mirada. Working Paper no. 315. Santiago: Pontificia Universidad Católica de Chile. https://econpapers.repec.org/paper/ioedoctra/315.htm.Elkomy Shimaa, Mair Simon, Jackson Tim. 2020. Energy and Productivity: A Review of the Literature. CUSP Working Paper no. 21. Guildford, UK: Centre for the Understanding of Sustainable Prosperity. https://cusp.ac.uk/wp-content/uploads/pp-energy-report.pdf#ppem.Eloranta Jari, Miikka Voutilainen, Nummela Ilkka. 2016. Estimating Finnish Economic Growth Before 1860. Rochester, NY: SSRN-Elsevier. https://dx.doi.org/10.2139/ssrn.4706862.Evensky Jerry. 2005. Adam Smith’s Moral Philosophy. Cambridge: Cambridge University Press. Finn Mary. 2000. Perfect competition and the effects of energy price increases on economic activity. Journal of Money, Credit and Banking 32 (3): 400–16. Fourie Johan, Luiten Jan, Zanden Van. 2013. GDP in the Dutch Cape Colony: The national accounts of a slave-based society. South African Journal of Economics 81 (4): 467–90. Friedlingstein Pierre, O’Sullivan Michael, Jones Matthew W., Andrew Robbie M., Bakker Dorothee, Hauck Judith, Landschützer Peter, Le Quéré Corinne, Luijkx Ingrid T., Peters Glen. 2023. Global carbon budget 2023. Earth System Science Data 15 (12): 5301–69. Frontali Clara. 2014. History of physical terms: “Energy.” Physics Education 49 (5): 564. Fukao Kyoji, Bassino Jean-Pascal, Makino Tatsuji, Paprzycki Ralph, Settsu Tokihiko, Takashima Masanori, Tokui Joji. 2015. Regional Inequality and Industrial Structure in Japan: 1874–2008. Tokyo: Maruzen.Fukao Kyoji, Ma Debin, Yuan Tangjun. 2007. Real GDP in pre-war East Asia: A 1934–36 benchmark purchasing power parity comparison with the US. Review of Income and Wealth 53 (3): 503–37. Garrett Tim. 2014. Long-run evolution of the global economy: 1. Physical basis. Earth’s Future 2 (3): 127–51. Gibson-Graham J. K. 2014. Being the revolution, or, how to live in a “more-than-capitalist” world threatened with extinction. Rethinking Marxism 26 (1): 76–94. Gregory Paul R. 2004. Russian National Income, 1885–1913. Cambridge: Cambridge University Press.Grubler Arnulf, Johansson Thomas, Muncada Luis, Nakicenovic Nebojsa, Pachauri Shonali, Riahi Keywan, Rogner Hans-Holger, Strupeit Lars. 2012. Global Energy Assessment: Toward a Sustainable Future. Cambridge: Cambridge University Press and IIASA.Grytten Ola Honningdal. 2015. Norwegian Gross Domestic Product by Industry 1830–1930. Norges Bank Working Paper no. 19/2015. Rochester, NY: SSRN-Elsevier. https://papers.ssrn.com/abstract=2714378.Hall Charles, Klitgaard Kent. 2012. Energy and the Wealth of Nations: Understanding the Biophysical Economy. New York: Springer. Herranz-Loncán Alfonso, Alejandro Peres-Cajías José. 2016. Tracing the reversal of fortune in the Americas: Bolivian GDP per capita since the mid-nineteenth century. Cliometrica 10 (1): 99–128. Hirsch Roni. 2021. Risk and trouble: Adam Smith on profit and the protagonists of capitalism. American Journal of Political Science 65 (1): 166–79. Hodgson Geoffrey. 2014. What is capital? Economists and sociologists have changed its meaning: Should it be changed back? Cambridge Journal of Economics 38 (5): 1063–86. Hrnčić Boris, Pfeifer Antun, Jurić Filip, Duić Neven, Ivanović Vladan, Vušanović Igor. 2021. Different investment dynamics in energy transition towards a 100% renewable energy system. Energy 237: 121526. IEA (International Energy Agency). 2022. World Energy Statistics and Balances—Data Product. Paris: International Energy Agency. https://www.iea.org/data-and-statistics/data-product/world-energy-statistics-and-balances.IEA (International Energy Agency).2023a. Global Coal Demand Set to Remain at Record Levels in 2023—News. Paris: International Energy Agency. https://www.iea.org/news/global-coal-demand-set-to-remain-at-record-levels-in-2023.IEA (International Energy Agency). 2023b. Oil Market Report—October 2023—Analysis. Paris: International Energy Agency. https://www.iea.org/reports/oil-market-report-october-2023.IEA (International Energy Agency). 2024. CO2 Emissions in 2023. Paris: International Energy Agency. https://www.iea.org/reports/co2-emissions-in-2023.Ivanov Martin. 2008. Understanding economic and social developments in the periphery: Bulgarian national income 1892–1924. East Central Europe 34–35 (1–2): 219–44. Jackson Tim. 1996. Material Concerns: Pollution, Profit and Quality of Life. Abingdon, UK: Routledge. Jonsson Fredrik Albritton. 2014. Adam Smith in the forest. In The Social Lives of Forests, eds. Hecht Susanna B., Morrison Kathleen D., Padoch Christine, 45–54. Chicago, IL: University of Chicago Press. Keen Steve, Ayres Robert, Standish Russell. 2019. A note on the role of energy in production. Ecological Economics 157: 40–46. Kostelenos Georgios, Vasiliou Dimitrios, Kounaris Euua, Petmezas Socrates, Sfakianakis Michail. 2007. Gross Domestic Product 1830-1939. Sources of Economic History of Modern Greece, Quantitative Data and Statistical Series 1830–1939. Athens: Historical Archive of the National Bank of Greece and Centre for Planning and Economic Research. https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020.Krantz Olle. 2017. Swedish GDP 1300–1560: A Tentative Estimate. Lund Papers in Economic History no. 152. Lund: Lund University, Department of Economic History. https://ideas.repec.org//p/hhs/luekhi/0152.html.Kurz Heinz. 1990. Debates in capital theory. In Capital Theory, eds. John Eatwell, Milgate Murray, Newman Peter, 79–93. London: Palgrave Macmillan. Kurz Heinz. 2010 Technical progress, capital accumulation and income distribution in classical economics: Adam Smith, David Ricardo, and Karl Marx. The European Journal of the History of Economic Thought 17 (5): 1183–222. Li Minqi. 2011. The 21st century crisis: Climate catastrophe or socialism. Review of Radical Political Economics 43 (3): 289–301. Mair Simon. 2022. Writing our way to sustainable economies? How academic sustainability writing engages with capitalism. Environment and Planning A: Economy and Space 54 (7): 1460–74. Mair Simon. 2024. Language, climate change, and cities beyond capitalism. Journal of City Climate Policy and Economy 2 (2): 171–88. Mair Simon, Druckman Angela, Jackson Tim. 2020. A tale of two utopias: Work in a post-growth world. Ecological Economics 173. Malanima Paolo. 2011. The long decline of a leading economy: GDP in central and northern Italy, 1300–1913. European Review of Economic History 15 (2). 169–219. Malanima Paolo. 2022. World Energy Consumption: A Database 1820–2020. Cambridge, MA: Harvard University. https://histecon.fas.harvard.edu/energyhistory/DATABASE%20World%20Energy%20Consumption(MALANIMA).pdf.Malinowski Mikołaj, van Zanden Jan Luiten. 2017. Income and its distribution in preindustrial Poland. Cliometrica 11 (3): 375–404. Malm Andreas. 2016. Fossil Capital: The Rise of Steam Power and the Roots of Global Warming. New York: Verso.Markevich Andrei, Harrison Mark. 2011. Great war, civil war, and recovery: Russia’s national income, 1913 to 1928. The Journal of Economic History 71 (3): 672–703. Marx Karl. 2013. Capital: A Critical Analysis of Capitalist Production. Hertfordshire, UK: Wordsworth.Meek Ronald. 1954. Adam Smith and the classical concept of profit. Scottish Journal of Political Economy 1 (2): 138–53. Meek Ronald. 1977. Smith, Marx, and After: Ten Essays in the Development of Economic Thought. London: Chapman and Hall. Milanovic Branko. 2011. Maddison Project Database: Estimates Provided to the Maddison-Project. https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020.Moore Jason. 2017. The Capitalocene, part 1: On the nature and origins of our ecological crisis. The Journal of Peasant Studies. 44 (3): 594–630. Odum Howard. 1973. Energy, ecology, and economics. Ambio 2 (6): 220–27.Pack Spencer. 2013. Adam Smith and Marx. In The Oxford Handbook of Adam Smith, eds. Christopher Berry, Pia Paganelli Maria, Smith Craig, 523–538. Oxford: Oxford University Press.Pamuk Şevket. 2006. Estimating economic growth in the Middle East since 1820. The Journal of Economic History 66 (3): 809–28. Pamuk Şevket, Shatzmiller Maya. 2011. Real Wages and GDP per Capita in the Medieval Islamic Middle East in Comparative Perspective, 700–1500. Presented at the 9th Conference of the European Historical Economics Society, Dublin, September 2–3.Pianta Mario, Lucchese Matteo. 2020. Rethinking the European green deal: An industrial policy for a just transition in Europe. Review of Radical Political Economics 52 (4): 633–41. Pirgmaier Elke. 2021. The value of value theory for ecological economics. Ecological Economics 179. Polanyi Karl. 1944. The Great Transformation. Boston: Beacon Press.Pollin Robert. 2015. Greening the Global Economy. Cambridge, MA: MIT Press. Pollin Robert. 2019. Advancing a viable global climate stabilization project: Degrowth versus the Green New Deal. Review of Radical Political Economics 51 (2): 311–19. Prados De la Escosura Leandro. 2017. Spanish Economic Growth, 1850–2015. Basingstoke, UK: Springer Nature. Qadir Sikandar Abdul, Al-Motairi Hessah, Tahir Furqan, Al-Fagih Luluwah. 2021. Incentives and strategies for financing the renewable energy transition: A review. Energy Reports 7: 3590–606. Ridolfi Leonardo. 2017. The French economy in the Longue Durée: A study on real wages, working days and economic performance from Louis IX to the revolution (1250–1789). European Review of Economic History 21 (4): 437–8. Riley Dylan. 2023. Drowning in deposits. NLR Sidecar. https://newleftreview.org/sidecar/posts/drowning-in-deposits.Robinson Joan. 1962. Economic Philosophy. London: Penguin.Saitō Kōhei. 2022. Marx in the Anthropocene: Towards the Idea of Degrowth Communism. Cambridge: Cambridge University Press.Sakai Marco, Brockway Paul, Barrett John, Taylor Paul. 2019. Thermodynamic efficiency gains and their role as a key “engine of economic growth.” Energies 12 (1): 110. Santamaría Antonio. 2005. Las Cuentas Nacionales de Cuba, 1690–2005. Unpublished manuscript. Madrid: Centro de Estudios Históricos and Centro Superior de Investigaciones Científicas. https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020.Scheidel Walter, Friesen Steven. 2009. The size of the economy and the distribution of income in the Roman empire. The Journal of Roman Studies 99: 61–91. Schön Lennart, Krantz Olle. 2016. New Swedish Historical National Accounts Since the 16th Century in Constant and Current Prices. Lund Papers in Economic History, General Issues, No. 140. Lund, Sweden: Lund University, Department of Economic History. https://lucris.lub.lu.se/ws/files/5872822/8228142.pdf.Schumpeter Joseph. 1954. History of Economic Analysis. Abingdon, UK: Taylor and Francis.Shah Sultan Nazrin. 2017. Charting the Economy: Early 20th Century Malaya and Contemporary Malaysian Contrasts. Oxford: Oxford University Press South East Asia.Smil Vaclav. 2017a. Energy and Civilization: A History. Cambridge, MA: MIT Press. Smil Vaclav. 2017b. Energy Transitions: Global and National Perspectives, 2nd edition. Santa Barbara, CA: Praeger.Smith Adam. 1975. The Glasgow Edition of the Works and Correspondence of Adam Smith volume 2: An Inquiry into the Nature and Causes of the Wealth of Nations, ed. William Todd. Online: Oxford Scholarly Editions. https://www-oxfordscholarlyeditions-com.libproxy.york.ac.uk/display/10.1093/actrade/9780199269570.book.1/actrade-9780199269570-work-1.Smits Jan-Pieter, Horlings Edwin, van Zanden Jan Luiten. 2000. The Measurement of Gross National Product and Its Components, 1800–1913. Growth and Development Centre Monograph Series no. 5. Groningen, the Netherlands: Groningen University. https://www.rug.nl/ggdc/docs/mono5.pdf.Steeds Leo. 2024. Adam Smith as ecological economist. In Environment and Ecology in the History of Economic Thought, ed. Vitor Schincariol, 29–48. Abingdon, UK: Routledge. Stohr Christian. 2016. Trading Gains: New Estimates of Swiss GDP, 1851–2008. Economic History Working Paper no. 245/2016. London: London School of Economics and Political Science, Economic History Department. https://eprints.lse.ac.uk/67032/Stratford Beth. 2020. The threat of rent extraction in a resource-constrained future. Ecological Economics 169: 106524. Stratford Beth. 2023. Rival definitions of economic rent: Historical origins and normative implications. New Political Economy 28 (3): 347–62. Sugimoto Ichiro. 2011. Economic Growth of Singapore in the Twentieth Century: Historical GDP Estimates and Empirical Investigations. Singapore: World Scientific. Tsoulfidis Lefteris, Paitaridis Dimitris. 2012. Revisiting Adam Smith’s theory of the falling rate of profit. International Journal of Social Economics 39 (5): 304–13. Van Zanden, Luiten Jan. 2012. Economic Growth in Java 1815–1939: The Reconstruction of the Historical National Accounts of a Colonial Economy. Unpublished Maddison-Project Working Paper no. WP 3. Groningen, the Netherlands: Groningen University. https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020.Van Zanden, Luiten Jan, Van Leeuwen Bas. 2012. Persistent but not consistent: The growth of national income in Holland 1347–1807. Explorations in Economic History 49 (2): 119–30. Vandeventer James Scott, Lloveras Javier, Warnaby Gary. 2024. The transformative potential of everyday life: Shared space, togetherness, and everyday degrowth in housing. Housing, Theory and Society 41 (1): 69–88. Ward Marianne, Devereux John. 2012. The road not taken: Pre-revolutionary Cuban living standards in comparative perspective. The Journal of Economic History 72 (1): 104–32. Wu Harry X. 2013. China’s Growth and Productivity Performance Debate Revisited—Accounting for China’s Sources of Growth with a New Data Set. New York: The Conference Board. https://www.conference-board.org/publications/publicationdetail.cfm?publicationid=2690.Xu Yi, Shi Zhihong, van Leeuwen Bas, Ni Yuping, Zhang Zipeng, Ma Ye. 2017. Chinese national income, ca. 1661–1933. Australian Economic History Review 57 (3): 368–93. York Richard, Elizabeth Bell Shannon. 2019. Energy transitions or additions? Why a transition from fossil fuels requires more than the growth of renewable energy. Energy Research & Social Science 51: 40–43. 

Energy & Economics
Los Angeles, CA USA - May 23 2025 : Donald Trump on Climate Change, Drill Baby Drill

The temporal logic of Trump II’s climate denialism

by Heikki Patomäki

In a landmark advisory opinion, the International Court of Justice (ICJ) ruled on 23 July 2025 that all UN member states have legal obligations under international law to address climate change, which the court described as an existential threat to life on Earth. Powerful countries too must be held responsible for their current emissions and past inaction. Possibly in anticipation of such a ruling, Chris Wright, the US Secretary of Energy and former chief executive of Liberty Energy (an oilfield services company), published an article in The Economist a week earlier, arguing that “climate change is a by-product of progress, not an existential crisis”. Whereas the ICJ relied primarily on the IPCC reports, “which participants agree constitute the best available science on the causes, nature and consequences of climate change”, Wright’s view is based on a particular temporal logic.  According to the IPCC reports, most greenhouse gases come from burning fossil fuels, with additional emissions from agriculture, deforestation, industry, and waste. They drive global warming, which is projected to reach 1.5°C between 2021 and 2040, with 2°C likely to follow. Even 1.5°C is not considered safe for most nations, communities, and ecosystems, and according to IPCC, only deep, rapid, and sustained emission cuts can slow warming and reduce the escalating risks and damages. The 2024 state of the climate report, published in BioScience, presents even more worrying assessments. Among other things, the report cites surveys indicating that nearly 80% of these scientists anticipate global temperatures increasing by at least 2.5°C above preindustrial levels by the end of the century, and nearly half of them foresee a rise of at least 3°C.  Wright’s article suggests that the issue of amplifying doubt about climate change may have little to do with engagement with science but rather reflects a deeper temporal logic. This logic is rooted in a Whiggish account of progress to date, a resistance to the reality of the future and the desire for nostalgic restoration. I will explain these elements one by one. The first tier: Whiggism Wright disagrees with most scientific anticipations. His views are likely representative not only of the Trump II administration but also of conservative right-wing populism more generally. It is difficult to understand their climate denialism without an analysis of their views on time and temporality. The most important question concerns the reality of the future. At the first level, Wright provides a kind of textbook example of Whig history, portraying progress as linear, inevitable, and driven by liberal values. Herbert Butterfield introduced the idea of Whig history in his influential 1931 book The Whig Interpretation of History as a critique of a specific way of writing history that he regarded as flawed and intellectually dishonest. Focusing on inevitable progress distorts historical analysis by promoting simplified cause-and-effect reasoning and selective storytelling, emphasising present-day evaluation (and glorification) over understanding the real causes of historical change. In a Whiggish manner, Wright claims that the last 200 years have seen two big changes to the human condition: “human liberty” and affordable energy. As a result of these two things, life expectancy has nearly doubled, and the percentage of people living in extreme poverty has dropped from 90% to 10%. However, Wright’s argumentation is based on non-contextual and, in that sense, timeless representations of the world, despite its “progressivism”.  For example, consider the claim that extreme poverty has dropped from 90% to 10%. It is based on using a fixed dollar threshold, such as USD 2 per day, to measure poverty over 200 years. This is misleading because most people in the 19th century lived in largely non-monetised economies where subsistence needs were met outside of market exchange, and monetary income was minimal or irrelevant. These metrics also obscure shifting and context-bound definitions of basic needs; rely on incomplete historical data; and ignore the role of colonial dispossession and structural inequality in shaping global poverty. While it is true that life expectancy has doubled, largely due to improvements in hygiene and healthcare, the idea that extreme poverty has plummeted from 90% to under 10% also ignores the fact that the global population has grown eightfold, affecting the entire Earth system with devastating ecological and geological consequences. It further ignores that the rise in life expectancy and poverty reduction has come not only from liberalism or economic growth more generally but from ethical and political struggles and public health interventions. Often, these struggles have been fought in the name of socialism and won despite capitalist incentives, market mechanisms, and related political forces. The second tier: blockism At a deeper level, Wright’s views seem to presuppose what Roy Bhaskar calls “blockism”: the postulation of a simultaneous conjunctive totality of all events. This may sound abstract, but it has been a common assumption among many 20th-century physicists and philosophers that the universe forms a static, closed totality. This view stems from an atomist ontology, where individuals are seen as abstract, events follow regular patterns, time is viewed as spatial, and laws that can be expressed mathematically are considered reversible.  In such a conception, time appears as just another “spatial” dimension. According to the block universe model, the past, present, and future all exist equally and tenselessly. The universe is imagined as a four-dimensional geometric object, like a “block” of spacetime. Time is not something that “flows” or “passes”; instead, all moments are spatially extended points in a timeless whole. Blockism suggests that change and becoming are not truly real but are simply parts of our subjective experience.  The real challenge is to reconcile Whiggism and blockism. Wright is not a theorist and might not need to worry about the coherence of his ideas, but the issue is that Whiggism assumes movement, direction, and a normatively positive evolution of change, whereas the block universe denies real temporality: there is no becoming, no novelty, no agency – only timeless existence. Some versions of the block universe attempt to preserve development by proposing that the block grows. The “block” expands as new events are added to reality, but in this view, the present defines the upper boundary of the block, and the future is not truly real. This appears to be consistent with what Wright says about climate change. Everything he has to say about global warming is limited to one short paragraph: We will treat climate change as what it is: not an existential crisis but a real, physical phenomenon that is a by-product of progress. Yes, atmospheric CO2 has increased over time – but so has life expectancy. Billions of people have been lifted out of poverty. Modern medicine, telecommunications and global transportation became possible. I am willing to take the modest negative trade-off for this legacy of human advancement. From the ICJ’s perspective, this interpretation is dreadful, as the current impacts of climate change are already at odds with the rights of many groups of people. It also exhibits basic injustice, as many of the groups that suffer the most from these impacts have done next to nothing to cause the problem. However, here I am mostly concerned with the temporality of Wright’s claims. This temporality is a combination of Whiggism and blockism: so far, history has exhibited progress, but time and processes stop here, in our present moment. The third tier: nostalgia Wright’s view of time is not limited to an ultimately incoherent combination of Whiggism and blockism. There is also more than a mere hint of nostalgia. This is evident in the appeal of a Golden Age at the outset of his article: I am honoured to advance President Donald Trump’s policy of bettering lives through unleashing a golden age of energy dominance – both at home and around the world. The appeal to the Golden Age somewhat contradicts Whiggism. From a nostalgic perspective, it seems that society has been on a downward trajectory instead of progressing. In other words, regression must be possible. Within an overall Whiggish narrative, one can blame certain actors, such as the Democrats in the US political context, for causing moral and political decline.  A nationalist narrative of a “golden age” and a return to a better past (“making us great again”) is essentially connected to the denial of planetary-scale problems, such as climate change, that would clearly require novel global responses. Climate change from a real-time perspective By merging Whiggism with a block-universe ontology (either static or growing), one ends up with a pseudo-historicism that speaks of “progress” while erasing real time. In a way, such a view “performs change” through a highly selective historical narrative, while denying the ontological preconditions of real change. Real change – emergence, transformation, causation – requires a temporal ontology, where the future is real though not yet fully determined. Thus, there is no mention of global emissions that have continued to rise, their delayed effects, feedback loops, or emergent risks given multiple processes of intertwined changes. Are the basic IPCC models based on real historical time? IPCC models often treat the climate system as a bounded system with internally consistent and deterministic dynamics. The IPCC relies on modelling and uses Bayesian methods to assess uncertainties in climate projections. Bayesian statistics involve updating the probability of a hypothesis as more evidence becomes available, based on prior knowledge (priors) and new data (likelihoods). Such an approach tends to be conservative (based on moving averages, for example) and assumes the quantifiability of uncertainty. It may also convey illusory precision, especially when the underlying models or data are uncertain or incomplete. The IPCC models nonetheless indicate – in contrast to Wright – that the future is real, though the future is approached in a somewhat cautious and deterministic manner. However, many climate scientists go beyond the IPCC consensus by assuming that global heating may reach 2.5 °C or even above 3 °C degree warming by the end of the century.  From a critical scientific realist viewpoint, even such anticipations may be too circumspect. Assuming exponential growth (involving cascading events etc.) and given that recent data shows a rise from 1.0°C to 1.5°C in just 15 years (actual data taken on an annual basis, not moving averages), and using this as a basis for anticipating the future, we seem likely to reach the 2 °C mark in the 2040s and the 3 °C mark in the 2060s.  The plausibility of anticipations depends significantly on how the real openness of the future is treated. Anticipations are reflexive and can shape the future. Real time and historical change involves human freedom and ethics. The evolving universe, where time is real, is stratified, processual, and open-ended. Time involves genuine processes, real possibilities, agency, and emergent structures. Such characteristics indicate that the future is not predetermined but can be shaped by transformative agency.  To sum up, from a real historical time perspective, Wright’s combination of Whiggism, blockism, and nostalgia is a recipe for reactionary politics. Glorifying the present, thinking in a timeless way, and longing for a golden age of the past can play a major role in bringing about a dystopian planetary future.

Energy & Economics
A dedollarisation concept with the BRICS on top of a pile of US dollar bills.

BRICS and De-Dollarization as a Geopolitical Industrial Policy: Implications for Cuba, Venezuela, and Argentina

by Alberto Maresca

ABSTRACT  This paper examines de-dollarization as a geopolitical industrial policy within the BRICS framework and its implications for Cuba, Venezuela, and Argentina. De-dollarization, a process aimed at reducing reliance on the US dollar, has gained momentum among BRICS nations as a response to economic sanctions, monetary sovereignty concerns, and external financial shocks, particularly following the 2008 global financial crisis. For Cuba and Venezuela, de-dollarization is necessary due to US sanctions, pushing them toward alternative  financial  mechanisms  through  BRICS  partnerships. Cuba’s  possible  de-dollarization  follows  increased ties with Russia, China, and Iran. Regarding Venezuela, despite its partial dollarization, Caracas seeks  to  strengthen  non-dollar  transactions  through  oil  trade. In  contrast,  under  President  Javier  Milei,  Argentina  has  rejected  BRICS  and  continues  to  debate  dollarization,  reflecting  the  country’s  historical  and economic ties to the US dollar. The study highlights that de-dollarization is a State-led, multilateral process influenced by external economic conditions and geopolitical alignments. While Cuba and Venezuela actively integrate with BRICS to reduce dollar dependence, Argentina’s approach remains uncertain, shaped by ideological and financial considerations. Keywords: De-dollarization, BRICS, Cuba, Venezuela, Argentina INTRODUCTION De-dollarization is almost a synonym of BRICS. The reduction  of  US  dollar  dominance  and  the  consequential dependence on it represent critical stakes for BRICS countries. Nonetheless, there are nuances and differences amongst BRICS members on monetary policies. Since the first summits (2009–2010), BRICS  asserted  the  Global  South’s  need  to  prioritize  trade  in  domestic  currency  and  refrain  from  US  dollar  pegging. For  initial  members  like  China  and  Russia,  as  well  as  newly  associated  countries  such  as  Iran  and  Cuba,  Western  sanctions  are  the  main  driver  for  de-dollarization. Instead,  for  Brazil,  India, and the majority of most recent BRICS partners  (primarily  from  Africa  and  Southeast  Asia),  de-dollarization  means  enhancing  their  monetary sovereignty,  fostering  domestic  currencies’  value,  and  avoiding  depending  on  US  institutions:  Treasury and Federal Reserve. De-dollarization pertains to  monetary  and  public  policies. Therefore,  it  is  a  state-led process. For this reason, it might be considered an industrial policy. It is necessary to outline that this article adopts the term geopolitical industrial  policy  for  a  State-led  economic  strategy  that,  unlike  inward-oriented  monetary  or  financial  policies, is deeply intertwined with the outward-looking dimension of foreign policy. Hence,  this  work  examines  de-dollarization  as  a  geopolitical  industrial  policy  within  the  BRICS  framework  and  its  implications  for  Cuba,  Venezuela,  and  Argentina. De-dollarization,  a  process  aimed  at  reducing  reliance  on  the  US  dollar,  has  gained momentum  among  BRICS  nations  as  a  response  to economic sanctions, monetary sovereignty concerns,  and  external  financial  shocks,  particularly  following the 2008 global financial crisis. For Cuba and  Venezuela,  de-dollarization  is  necessary  due  to  US  sanctions,  pushing  them  toward  alternative  financial  mechanisms  through  BRICS  partnerships. Cuba’s  possible  de-dollarization  follows  increased  ties  with  Russia,  China,  and  Iran. Regarding  Venezuela, despite its partial dollarization, Caracas seeks to  strengthen  non-dollar  transactions  through  oil  trade. In  contrast,  under  President  Javier  Milei,  Argentina has rejected BRICS and continues to debate dollarization, reflecting the country’s historical and economic ties to the US dollar. The study highlights that de-dollarization is a State-led, multilateral process  influenced  by  external  economic  conditions  and geopolitical alignments. While Cuba and Venezuela actively integrate with BRICS to reduce dollar dependence,  Argentina’s  approach  remains  uncertain,  shaped  by  ideological  and  financial  considerations. It is undebatable that there are differences between usual industrial policies and de-dollarization. Indus-trial policies look inward, are fashioned upon domes-tic  matters,  and  contradict, court,  multilateral  efforts. De-dollarization  is  a  geopolitical  industrial  policy that looks outward, focusing on the role of a given country in the world economy. Without multilateralism, a State pursuing de-dollarization would quickly become a pariah. As a geopolitical industrial policy,  de-dollarization  owes  its  rationale  to  external  shocks. It  is  safe  to  define  de-dollarization  as  exogenously  motivated. The  2008  global  financial  crisis (GFC) represented the critical external shock for  BRICS  members  to  escalate  their  de-dollarization objectives: “[E]specially  since  the  2008  global  financial  crisis,  central banks of many countries have been trying to diversify their portfolios to shift away from the US dollar through liquidating holdings of US Treasuries and increasing other assets including the euro, yen, renminbi and gold.” (Li, 2023, p. 9).  The 21st century wrought incentives to de-dollarization that finally sparked because of the GFC. However,  the  mainstream  doubts  surrounding  de-dollarization involve its feasibility. There are no tools to objectively  measure  the  status  of  de-dollarization  or its future outcomes. Notwithstanding limitations, de-dollarization  is  increasingly  attracting  Global  South economies. Specifically looking at Latin America,  this  work  outlines  how  de-dollarization  becomes  an  obligation  for  sanctioned  countries:  Cuba  and  Venezuela. The  two  ALBA  governments  mingled  with  BRICS  for  a  long  time,1  with  Havana  joining the forum in association and Venezuela almost on the same route, stopped by the Brazilian veto in the  Kazan  summit. Cuban  and  Venezuelan  de-dollarization finds in BRICS a multilateral opportunity.  The third country examined is Argentina since the government  of  Javier  Milei  refused  to  enter  BRICS  and  continuously  flirted  with  dollarizing  the  economy. From President Menem’s pegging to the US dollar (uno a uno) to the 2001 Corralito, Argentina’s recent economic history inevitably rests on currency issues (IMF, 2003). Unlike Venezuela, and on the contrary of Cuba (which is not part of the IMF), Argentina’s economic policies intertwine with Bretton Woods  institutions. That  might  be  the  reason  why  neoliberal Argentinian economists found in dollarization  a  solution  for  Buenos  Aires  (Cachanosky  et  al., 2023).  1. Force Majeure De-Dollarization for Cuba and Venezuela  Since  1999,  when  Fidel  Castro  and  Hugo  Chávez  coincided, de-dollarization meant an industrial foreign policy to antagonize US hegemony. In Cuba, de-dollarization  is  a  more  difficult  process  than  usual  assumptions  and  certainly  more  challenging  than  in  Venezuela. 2004  marked  the  year  when  the  US  dollar  was  officially  prohibited  on  the Caribbean Island, to reverse the dual currency  system  implemented  since  the  Special  Period  (Herrera  &  Nakatani,  2004). The  extra-territoriality  of  US  sanctions,  affecting  in  their  secondary effect  Cuba’s  trade,  led  Havana  to  a  de-dollarization fashioned upon the path that Deligöz (2024) identified  for  China  and  Russia. Besides  realpolitik  and  geopolitical  strategies,  Cuba’s  association  with  BRICS,  occurred  in  October  2024,  is  the  la-test  effort  to  de-dollarize. Venezuela’s  economic  crises and COVID-19 pushed Cuba into continuous indebtedness to survive, with US dollars reallowed but  still  at  limited  provision  due  to  Washington’s  restrictions  (Luis,  2020). To  give  account  of  its  urgencies,  in  a  few  months,  Havana  moved  from  apparent dollarization to initiatives for de-dollarization, thanks to BRICS. Over the summer, Primer Minister Manuel Marrero enabled USD payments in the  tourist  sector  (Gámez  Torres,  2024)  to  tackle  the balance of payments deficit with liquidity. For  a  country  obliged  to  rapidly  change  industrial  policies,  the  BRICS  opportunity  could  not  be  mis-sed. Cuba’s  reliance  on  Russia,  China,  and  Iran  may  materialize   a   complete   de-dollarization   that   can   favor  BRICS  projects  and  escape  US  sanctions. Of  course, the evident permanence of the bloqueo, regardless  of  who  runs  the  White  House,  is  the  main  driver for Cuba’s de-dollarization. A similar but quite nuanced situation applies to Venezuela as well. From the Bolivarian era inaugurated by President Chávez, de-dollarization  entangled  foreign  policy  objectives  even before US sanctions. The Sucre digital currency was  created  by  the  governments  of  Venezuela  and  Ecuador  as  the  main  ALBA  initiative  to  de-dollarize  commercial  transactions  among  Bolivarian  nations  (Benzi et al., 2016). ALBA-promoted Sucre was analogous to BRICS’ favoring of blockchains and digital currencies, limiting the USD to a reference value for the  bloc’s  transactions  (Mayer,  2024). US  sanctions  on Venezuela’s oil production, sparked under the first Trump Administration, meant a significant remotion of USD-denominated transactions for Caracas. Considering  ALBA’s  slow  progress  and  the  infeasibility  of fully adopting the Sucre, President Maduro had to look at BRICS for solutions. Despite  not  having  diplomatic  relations  with  Washington,  Venezuela  is  still  an  IMF  member. Ladasic points  out  that  “[a]s  Venezuela  joined  the  pack  of  countries  trading  oil  outside  of  USD  and  has  instead priced it in Chinese yuan, BRICS together with Venezuela  already  have  16%  needed  for  IMF  veto  power to use in a crisis” (2017, p. 100). The rentier characterization of the Venezuelan economy and its dependency  on  oil  exports  make  de-dollarization  a necessity. As per Cuba, unilateral policies are not enough. Venezuela’s  outcry  merged  with  inflation,  the  devaluation  of  the  bolívar,  and  a  paralysis  of  the  Venezuelan  Central  Bank  (BCV)  that  put  total  dollarization on the industrial-public policies’ table (Briceño  et  al.,  2019). Although  the  country  is  still  under  a  sort  of  de  facto  dollarization,  Venezuela’s  economic  resurrection  should  occur  together  with  a  de-dollarization  strategy. Failure  to  enter  BRICS  in the Kazan summit provides a temporary brake to Venezuela’s  de-dollarization,  but  the  prolific  trade  with China, Russia, Iran, and Türkiye will, in all cases, align Venezuela with BRICS policies. 3. Argentina: De-Dollarizing a Passion Economists  were  surely  interested  in  Javier  Milei’s  dollarization  claims. Less  than  a  year  into  his  government,  dollarization  seems  impossible  to  the  libertarian  president. Milei’s  negative  to  BRICS  demonstrates  that  de-dollarization  is  currently  not  considerable  for  Casa  Rosada. Nevertheless,  it  is  relevant to outline that Argentinian academia questioned  the  role  of  the  USD  and  studied  economic  policies  involving  de-dollarization. Corso  and  Sangiácomo (2023), in affiliation with the Central Bank of  Argentina  (BCRA),  argued  that  de-dollarization  might  help  in  relieving  the  extreme  inflation  saw  under  Alberto  Fernández’s  ruling. Other  authors  implied  that  the  Kirchners’  limitations  on  USD  access would lead to a gradual de-dollarization of the economy,  but  with  constraints  particularly  from  a  USD dominated housing market across Latin America  (Luzzi,  2013). If  under  the  Kirchners,  and  with  support of South American left-leaning geopolitics, de-dollarization  could  really  offer  a  pathway  for  the Argentine economy, with Milei that is barely an option. The  Argentine  relation  with  the  USD  does not hold a clear ideological cleavage. Argentinians’ passion for the dollar, as stressed by Bercovich and Rebossio (2013), embraced diverse political figures such as Perón, Aníbal Fernández (a prominent Kirchnerist politician), and Martínez de Hoz. The peso’s continuous  instability  legitimized  the  widespread  informal adoption of the USD, with first insight fore-seeable in the currency devaluation subsequent to the Great Depression (Díaz Alejandro, 1970). There is also a nationalistic meaning behind the peso, whose  national  heroes  imprinted,  from  Belgrano  to  Evita (Moreno Barreneche, 2023), portray a sentimental attachment to the banknotes that Argentinians do not want to erase. In sum, Argentina’s de-dollarization is as difficult as dollarization. Milei’s obsession for US hegemony inserts de-dollarization in a faraway scenario. Moreover,  Donald  Trump’s  victory,  who  promised  high tariffs to countries that unpeg from the USD (Butts,  2024),  constitutes  a  natural  barrier  to  de-dollarization. Its political viability might depend on an eventual Peronist succession to Milei. Argentina’s financial closeness  to  China,  and  a  possible  resume  of  BRICS  talks,  could  indicate  de-dollarization  as  a  future  last  resort. In this sense, de-dollarization within the BRICS framework might help Argentina in solving structural issues: Chronic external debt and dependency on Bretton Woods institutions. CONCLUSIONS De-dollarization is State-led and can be considered a  geopolitical  industrial  policy. Cuba,  Venezuela,  and  Argentina  show  that  de-dollarization  depends  on  geopolitical  calculus  and  economic  considerations. The incentives may be different, ranging from US sanctions to devaluation of the national currency. However,  unlike  dollarization,  de-dollarization  cannot  be  pursued  unilaterally. The  rise  of  BRICS  motivates  Global  South  countries  to  de-dollarize  under its guarantees. For Cuba and Venezuela, the association  with  BRICS  and  the  interdependence  with other sanctioned economies like Russia, China, and Iran, make de-dollarization an opportunity. Argentina’s  relation  with  the  USD  follows  its  turbulent  economic  history. Simultaneously,  there  is  passion  for  dollars and nationalism toward the peso banknotes. In this  context,  even  Milei  showed  that  dollarization  is  in  no way easier that de-dollarization. The currency issues affecting Argentina might not be resolved by neither of the two policies, but a future BRICS collaboration could bring de-dollarization again into the political debate. NOTES1  ALBA  references  the  Alianza  Bolivariana  para  los  Pueblos  de  Nuestra  América,  a  regional  organization  founded  by  Cuba  and  Venezuela,  including Bolivia, Honduras, Nicaragua, and several Caribbean islands. It was created in 2004 under the auspices of Hugo Chávez.REFERENCESBenzi,  D.,  Guayasamín,  T.,  &  Vergara,  M.  (2016). ¿Hacia  una  Nueva   Arquitectura   Financiera   Regional?   Problemas   y  perspectivas  de  la  cooperación  monetaria  en  el  AL-BA-TCP. Revista Iberoamericana de Estudios de Desarrollo, 5(1), 32–61. https://doi.org/10.26754/ojs_ried/ijds.193. Bercovich, A., & Rebossio, A. (2013). Estoy verde: Dólar, una pasión argentina. Aguilar.Butts, D. (2024, September 9). Trump’s vow of 100% tariffs on nations that snub the dollar is a lose-lose for China and U.S., economist says. CNBC. https://www.cnbc.com/2024/09/09/economist-calls-trumps-threat-to-tariff-countries-that-shun-the-dollar-a-lose-lose.html. Cachanosky, N., Ocampo, E., & Salter, A. W. (2023). Les-sons from Dollarization in Latin America. Free Market Institute  Research  Paper  No.  4318258,  AIER  Sound  Money  Project  Working  Paper  No.  2024-01.  https://doi.org/10.2139/ssrn.4318258. Corso, E. A., & Sangiácomo, M. (2023). Financial De-dollarization in Argentina: When the wind always blows from the East. BCRA Economic Research Working Paper No. 106. https://www.econstor.eu/handle/10419/297801.Deligöz, H. (2024). The Exorbitant Privilege of US Extra-territorial  Sanctions.  İnsan  ve  Toplum,  14(3),  29–52.  https://dergipark.org.tr/en/pub/insanvetoplum/is-sue/86942/1543025. Díaz Alejandro, C. F. (1970). Essays on the Economic His-tory of the Argentine Republic. Yale University Press.Gámez  Torres,  N.  (2024,  July  18).  Cuba  moves  to  ‘partially’  dollarize  economy  as  government  struggles  to  make  payments.  Miami  Herald.  https://www.mia-miherald.com/news/nation-world/world/americas/cuba/article290210784.html. Herrera,  R.,  &  Nakatani,  P.  (2004).  De-Dollarizing  Cuba.  International  Journal  of  Political  Economy,  34(4),  84–95. https://www.jstor.org/stable/40470915. Hurtado  Briceño,  A.  J.,  Zerpa  de  Hurtado,  S.,  &  Mora  Mora,  J.  U.  (2019).  Dollarization  or  Monetary  Independence?  Evidence  from  Venezuela.  Asian  Journal  of  Latin  American  Studies,  32(4),  53–71.  https://doi.org/10.22945/ajlas.2019.32.4.53. IMF. (2003, October 8). Lessons from the Crisis in Argen-tina. Ladasic,  I.  K.  (2017).  De-Dollarization  of  Oil  and  Gas  Trade.  International  Multidisciplinary  Scientific  Geo-Conference,    17,    99–106.    https://doi.org/10.5593/sgem2017H/15. Li,  Y.  (2023).  Trends,  Reasons  and  Prospects  of  De-Dollarization. South Centre Research Paper No. 181. https://www.econstor.eu/handle/10419/278680. Luis, L. R. (2020, October 7). Cuba: Dollar Crunch, Dollarization and Devaluation. Cuba Capacity Building Project. https://horizontecubano.law.columbia.edu/news/cuba-dollar-crunch-dollarization-and-deva-luation. Luzzi,  M.  (2013).  Economía  y  cultura  en  las  interpretaciones sobre los usos del dólar en la Argentina. In  A.  Kaufman  (Ed.),  Cultura  social  del  dólar  (pp.  11–19).  UBA  Sociales.  https://publicaciones.sociales.uba.ar/index.php/socialesendebate/article/view/3319.Mayer,  J.  (2024).  De-Dollarization:  The  Global  Payment  Infrastructure  and  Wholesale  Central  Bank  Digital  Currencies.  FMM  Working  Paper  No.  102.  https://www.econstor.eu/handle/10419/297865. Moreno  Barreneche,  S.  (2023).  El  dinero  como  soporte  material  de  la  disputa  por  el  sentido  de  la  nación:  Estudio  del  peso  argentino  desde  una  perspectiva  semiótica.  Estudios  Sociales:  Revista  Universitaria  Semestral,  64,  1–19.  https://doi.org/10.14409/es.2023.64.e0046. CONFLICT OF INTERESTThe  author  declares  that  there  are  no  conflicts  of  interest related to the article.ACKNOWLEDGMENTS Not applicable.FUNDING Not applicable.PREPRINT Not published.COPYRIGHT Copyright  is  held  by  the  authors,  who  grant  the  Revista  Política  Internacional  the  exclusive  rights  of  first  publication. Authors  may  enter  into  additional agreements for non-exclusive distribution of the  version  of  the  work  published  in  this  journal  (e.g.,  publication  in  an  institutional  repository,  on  a personal website, publication of a translation or as a book chapter), with the acknowledgment that it was first published in this journal. Regarding copyright, the journal does not charge any fee for the submission, processing, or publication of articles.

Energy & Economics
Commodity and alternative asset, gold bar and crypto currency Bitcoin on rising price graph as financial crisis or war safe haven, investment asset or wealth concept.

Assessing Bitcoin and Gold as Safe Havens Amid Global Uncertainties: A Rolling Window DCC-GARCH Analysis

by Anoop S Kumar , Meera Mohan , P. S. Niveditha

Abstract We examine the roles of Gold and Bitcoin as a hedge, a safe haven, and a diversifier against the coronavirus disease 2019 (COVID-19) pandemic and the Ukraine War. Using a rolling window estimation of the dynamic conditional correlation (DCC)-based regression, we present a novel approach to examine the time-varying safe haven, hedge, and diversifier properties of Gold and Bitcoin for equities portfolios. This article uses daily returns of Gold, Bitcoin, S&P500, CAC 40, and NSE 50 from January 3, 2018, to October 15, 2022. Our results show that Gold is a better safe haven than the two, while Bitcoin exhibits weak properties as safe haven. Bitcoin can, however, be used as a diversifier and hedge. This study offers policy suggestions to investors to diversify their holdings during uncertain times. Introduction Financial markets and the diversity of financial products have risen in both volume and value, creating financial risk and establishing the demand for a safe haven for investors. The global financial markets have faced several blows in recent years. From the Global Financial Crisis (GFC) to the outbreak of the pandemic and uncertainty regarding economic policy measures of governments and central banks, the financial markets including equity markets around the world were faced with severe meltdowns. This similar behavior was observed in other markets including equity and commodity markets, resulting in overall uncertainty. In this scenario, the investors normally flock toward the safe-haven assets to protect their investment. In normal situations, investors seek to diversify or hedge their assets to protect their portfolios. However, the financial markets are negatively impacted when there are global uncertainties. Diversification and hedging methods fail to safeguard investors’ portfolios during instability because almost all sectors and assets are negatively affected (Hasan et al., 2021). As a result, investors typically look for safe-haven investments to safeguard their portfolios under extreme conditions (Ceylan, 2022). Baur and Lucey (2010) provide the following definitions of hedge, diversifier, and safe haven: Hedge: An asset that, on average, has no correlation or a negative correlation with another asset or portfolio. On average, a strict hedge has a (strictly) negative correlation with another asset or portfolio.Diversifier: An asset that, on average, has a positive correlation (but not perfect correlation) with another asset or portfolio. Safe haven: This is the asset that in times of market stress or volatility becomes uncorrelated or negatively associated with other assets or a portfolio. As was previously indicated, the significant market turbulence caused by a sharp decline in consumer spending, coupled with insufficient hedging opportunities, was a common feature of all markets during these times (Yousaf et al., 2022). Nakamoto (2008) suggested a remedy by introducing Bitcoin, a “digital currency,” as an alternative to traditional fiduciary currencies (Paule-Vianez et al., 2020). Bitcoin often described as “Digital Gold” has shown greater resilience during periods of crises and has highlighted the potential safe haven and hedging property against uncertainties (Mokni, 2021). According to Dyhrberg (2016), the GFC has eased the emergence of Bitcoin thereby strengthening its popularity. Bouri et al. (2017) in their study indicate that Bitcoin has been viewed as a shelter from global uncertainties caused by conventional banking and economic systems. Recent research has found that Bitcoin is a weak safe haven, particularly in periods of market uncertainty like the coronavirus disease 2019 (COVID-19) crisis (Conlon & McGee, 2020; Nagy & Benedek, 2021; Shahzad et al., 2019; Syuhada et al., 2022). In contrast to these findings, a study by Yan et al. (2022) indicates that it can function as a strong safe haven in favorable economic times and with low-risk aversion. Ustaoglu (2022) also supports the strong safe-haven characteristic of Bitcoin against most emerging stock market indices during the COVID-19 period. Umar et al. (2023) assert that Bitcoin and Gold are not reliable safe-havens. Singh et al. (2024) in their study reveal that Bitcoin is an effective hedge for investments in Nifty-50, Sensex, GBP–INR, and JPY–INR, at the same time a good diversifier for Gold. The study suggests that investors can incorporate Bitcoin in their portfolios as a good hedge against market volatility in equities and commodities markets. During the COVID-19 epidemic, Barbu et al. (2022) investigated if Ethereum and Bitcoin could serve as a short-term safe haven or diversifier against stock indices and bonds. The outcomes are consistent with the research conducted by Snene Manzli et al. (2024). Both act as hybrid roles for stock market returns, diversifiers for sustainable stock market indices, and safe havens for bond markets. Notably, Bhuiyan et al. (2023) found that Bitcoin provides relatively better diversification opportunities than Gold during times of crisis. To reduce risks, Bitcoin has demonstrated a strong potential to operate as a buffer against global uncertainty and may be a useful hedging tool in addition to Gold and similar assets (Baur & Lucey, 2010; Bouri et al., 2017; Capie et al., 2005; Dyhrberg, 2015). According to Huang et al. (2021), its independence from monetary policies and minimal association with conventional financial assets allow it to have a safe-haven quality. Bitcoins have a substantial speed advantage over other assets since they are traded at high and constant frequencies with no days when trading is closed (Selmi et al., 2018). Additionally, it has been demonstrated that the average monthly volatility of Bitcoin is higher than that of Gold or a group of international currencies expressed in US dollars; nevertheless, the lowest monthly volatility of Bitcoin is lower than the maximum monthly volatility of Gold and other foreign currencies (Dwyer, 2015). Leverage effects are also evident in Bitcoin returns, which show lower volatilities in high return periods and higher volatilities in low return times (Bouri et al., 2017; Liu et al., 2017). According to recent research, Bitcoins can be used to hedge S&P 500 stocks, which increases the likelihood that institutional and retail investors will build secure portfolios (Okorie, 2020). Bitcoin demonstrates strong hedging capabilities and can complement Gold in minimizing specific market risks (Baur & Lucey, 2010). Its high-frequency and continuous trading further enrich the range of available hedging tools (Dyhrberg, 2016). Moreover, Bitcoin spot and futures markets exhibit similarities to traditional financial markets. In the post-COVID-19 period, Zhang et al. (2021) found that Bitcoin futures outperform Gold futures.Gold, silver, palladium, and platinum were among the most common precious metals utilized as safe-haven investments. Gold is one such asset that is used extensively (Salisu et al., 2021). Their study tested the safe-haven property of Gold against the downside risk of portfolios during the pandemic. Empirical results have also shown that Gold functions as a safe haven for only 15 trading days, meaning that holding Gold for longer than this period would result in losses to investors. This explains why investors buy Gold on days of negative returns and sell it when market prospects turn positive and volatility decreases (Baur & Lucey, 2010). In their study, Kumar et al. (2023) tried to analyse the trends in volume throughout futures contracts and investigate the connection between open interest, volume, and price for bullion and base metal futures in India. Liu et al. (2016) in their study found that there is no negative association between Gold and the US stock market during times of extremely low or high volatility. Because of this, it is not a strong safe haven for the US stock market (Hood & Malik, 2013). Post-COVID-19, studies have provided mixed evidence on the safe-haven properties of Gold (Bouri et al., 2020; Cheema et al., 2022; Ji et al., 2020). According to Kumar and Padakandla (2022), Gold continuously demonstrates safe-haven qualities for all markets, except the NSE, both in the short and long term. During the COVID-19 episode, Gold’s effectiveness as a hedge and safe-haven instrument has been impacted (Akhtaruzzaman et al., 2021). Al-Nassar (2024) conducted a study on the hedge effectiveness of Gold and found that it is a strong hedge in the long run. Bhattacharjee et al. (2023) in their paper examined the symmetrical and asymmetrical linkage between Gold price levels and the Indian stock market returns by employing linear autoregressive distributed lag and nonlinear autoregressive distributed lag models. The results exhibit that the Indian stock market returns and Gold prices are cointegrated. According to the most recent study by Kaczmarek et al. (2022), Gold has no potential as a safe haven, despite some studies on the COVID-19 pandemic showing contradictory results. The co-movements of Bitcoin and the Chinese stock market have also normalized as a result of this epidemic (Belhassine & Karamti, 2021). Widjaja and Havidz (2023) verified that Gold was a safe haven asset during the COVID-19 pandemic, confirming the Gold’s safe-haven characteristic. As previously pointed out, investors value safe-haven investments in times of risk. Investors panic at these times when asset prices fall and move from less liquid (risky) securities to more liquid (safe) ones, such as cash, Gold, and government bonds. An asset must be bought and sold rapidly, at a known price, and for a reasonably modest cost to be considered truly safe (Smales, 2019). Therefore, we need to properly re-examine the safe-haven qualities of Gold and Bitcoin due to the mixed evidences regarding their safe-haven qualities and the impact of COVID-19 and the war in Ukraine on financial markets. This work contributes to and deviates from the body of existing literature in the following ways. We propose a novel approach in this work to evaluate an asset’s time-varying safe haven, hedge, and diversifier characteristics. This research examines the safe haven, hedging, and diversifying qualities of Gold and Bitcoin against the equity indices; S&P 500, CAC 40, and NSE 50. Through the use of rolling window estimation, we extend the methodology of Ratner and Chiu (2013) by estimating the aforementioned properties of the assets. Comparing rolling window estimation to other conventional techniques, the former will provide a more accurate representation of an asset’s time-varying feature. This study explores the conventional asset Gold’s time-varying safe haven, hedging, and diversifying qualities during crises like the COVID-19 pandemic and the conflict in Ukraine. We use Bitcoin, an unconventional safe-haven asset, for comparison. Data and Methodology We use the daily returns of three major equity indices; S&P500, CAC 40, and NSE 50 from January 3, 2018, to October 15, 2022. The equity indices were selected to represent three large and diverse markets namely the United States, France, and India in terms of geography and economic development. We assess safe-haven assets using the daily returns of Gold and Bitcoin over the same time. Equity data was collected from Yahoo Finance, Bitcoin data from coinmarketcap.com, and Gold data from the World Gold Council website. Engle (2002) developed the DCC (Dynamic Conditional Correlation)-GARCH model, which is frequently used to assess contagion amid pandemic uncertainty or crises. Time-varying variations in the conditional correlation of asset pairings can be captured using the DCC-GARCH model. Through employing this model, we can analyse the dynamic behavior of volatility spillovers. Engle’s (2002) DCC-GARCH model contains two phases; 1. Univariate GARCH model estimation2. Estimation of time-varying conditional correlation. For its explanation, mathematical characteristics, and theoretical development, see here [insert the next link in “the word here” https://journals.sagepub.com/doi/10.1177/09711023251322578] Results and Discussion The outcomes of the parameters under the DCC-GARCH model for each of the asset pairs selected for the investigation are shown in Table 1.   First, we look at the dynamical conditional correlation coefficient, ρ.The rho value is negative and insignificant for NSE 50/Gold, NSE 50 /BTC, S&P500/Gold, and S&P500/BTC indicating a negative and insignificant correlation between these asset pairs, showing Gold and Bitcoin as potential hedges and safe havens. The fact that ρ is negative and significant for CAC 40/Gold suggests that Gold can be a safe haven against CAC 40 swings. The asset pair CAC/BTC, on the other hand, has possible diversifier behavior with ρ being positive but statistically insignificant. Next, we examine the behavior of the DCC-GARCH parameters; α and β. We find that αDCC is statistically insignificant for all the asset pairs, while βDCC is statistically significant for all asset pairs. βDCC quantifies the persistence feature of the correlation and the extent of the impact of volatility spillover in a particular market’s volatility dynamics. A higher βDCC value implies that a major part of the volatility dynamics can be explained by the respective market’s own past volatility. For instance, the NSE 50/Gold’s βDCC value of 0.971 shows that there is a high degree of volatility spillover between these two assets, with about 97% of market volatility being explained by the assets’ own historical values and the remainder coming from spillover. Thus, we see that the volatility spillover is highly persistent (~0.8) for all the asset pairs except NSE 50/BTC. The results above show that the nature of the dynamic correlation between the stock markets, Bitcoin and Gold is largely negative, pointing toward the possibility of Gold and Bitcoin being hedge/safe haven. However, a detailed analysis is needed to confirm the same by employing rolling window analysis, and we present the results in the forthcoming section. We present the rolling window results for S&P500 first. We present the regression results for Gold in Figure 1 and Bitcoin in Figure 2   Figure 1. Rolling Window Regression Results for S&P500 and Gold.Note: Areas shaded under factor 1 represent significant regression coefficients. In Figure 1, we examine the behavior of β0 (intercept term), β1, β2, and β3 (partial correlation coefficients). The intercept term β0 will give an idea about whether the asset is behaving as a diversifier or hedge. Here, the intercept term shows significance most of the time. However, during 2018, the intercept was negative and significant, showing that it could serve as a hedge during geopolitical tensions and volatilities in the global stock market. However, during the early stages of COVID-19, we show that the intercept is negative and showing statistical significance, suggesting that Gold could serve as a hedge during the initial shocks of the pandemic. These findings are contrary to the results in the study by Tarchella et al. (2024) where they found hold as a good diversifier. Later, we find the intercept to be positive and significant, indicating that Gold could act as a potential diversifier. But during the Russia-Ukraine War, Gold exhibited hedge ability again. Looking into the behavior of β1, which is the partial correlation coefficient for the tenth percentile of return distribution shows negative and insignificant during 2018. Later, it was again negative and significant during the initial phases of COVID-19, and then negative in the aftermath, indicating that Gold could act as a weak safe haven during the COVID-19 pandemic. Gold could serve as a strong safe haven for the SP500 against volatility in the markets brought on by the war in Ukraine, as we see the coefficient to be negative and large during this time. From β2 and β3, the partial correlation coefficients of the fifth and first percentile, respectively, show that Gold possesses weak safe haven properties during COVID-19 and strong safe haven behavior during the Ukraine crisis. Next, we examine the characteristics of Bitcoin as a hedge/diversifier/safe haven against the S&P500 returns. We present the results in Figure 2.   Figure 2. Rolling Window Regression Results for S&P500 and Bitcoin.Note: Areas shaded under factor 1 represent significant regression coefficients. Like in the previous case, we begin by analysing the behavior of the intercept coefficient, which is β0. As mentioned earlier the intercept term will give a clear picture of the asset’s hedging and diversifier property. In the period 2018–2019, the intercept term is positive but insignificant. This could be due to the large volatility in Bitcoin price movements during the period. It continues to be minimal (but positive) and insignificant during 2019–2020, indicating toward weak diversification possibility. Post-COVID-19 period, the coefficient shows the significance and positive value, displaying the diversification potential. We see that the coefficient remains positive throughout the analysis, confirming Bitcoin’s potential as a diversifier. Looking into the behavior of β1 (the partial correlation coefficient at tenth percentile), it is positive but insignificant during 2018. The coefficient is having negative sign and showing statistical significance in 2019, suggesting that Bitcoin could be a good safe haven in that year. This year was characterized by a long list of corporate scandals, uncertainties around Brexit, and tensions in global trade. We can observe that throughout the COVID-19 period, the coefficient is showing negative sign and negligible during the March 2020 market meltdown, suggesting inadequate safe-haven qualities. However, Bitcoin will regain its safe-haven property in the coming periods, as the coefficient is negative and significant in the coming months. The coefficient is negative and shows statistical significance during the Ukrainian crisis, suggesting strong safe-haven property. Only during the Ukrainian crisis could Bitcoin serve as a safe haven, according to the behavior of β2, which displays the partial correlation coefficient at the fifth percentile. Bitcoin was a weak safe haven during COVID-19 and the Ukrainian crisis, according to β3, the partial correlation coefficient for the first percentile (coefficient negative and insignificant). According to the overall findings, Gold is a stronger safe haven against the S&P 500’s swings. This result is consistent with the previous studies of Triki and Maatoug (2021), Shakil et al. (2018), Będowska-Sójka and Kliber (2021), Drake (2022), and Ghazali et al. (2020), etc. The same analysis was conducted for the CAC 40 and the NSE 50; the full analysis can be found here [insert the next link in “the word here” https://journals.sagepub.com/doi/10.1177/09711023251322578]. However, it is important to highlight the respective results: In general, we may say that Gold has weak safe-haven properties considering CAC40. We can conclude that Bitcoin’s safe-haven qualities for CAC40 are weak. We can say that Gold showed weak safe-haven characteristics during the Ukraine crisis and good safe-haven characteristics for the NSE50 during COVID-19. We may say that Bitcoin exhibits weak safe haven, but strong hedging abilities to NSE50. Concluding Remarks In this study, we suggested a new method to evaluate an asset’s time-varying hedge, diversifier, and safe-haven characteristics. We propose a rolling window estimation of the DCC-based regression of Ratner and Chiu (2013). Based on this, we estimate the conventional asset’s time-varying safe haven, hedging, and diversifying properties during crises like the COVID-19 pandemic and the conflict in Ukraine. For comparison purposes, we include Bitcoin, a nonconventional safe-haven asset. We evaluate Gold and Bitcoin’s safe haven, hedging, and diversifier properties to the S&P 500, CAC 40, and NSE 50 variations. We use a rolling window of length 60 to estimate the regression. From the results, we find that Gold can be considered as a better safe haven against the fluctuations of the S&P 500. In the case of CAC 40, Gold and Bitcoin have weak safe-haven properties. While Bitcoin demonstrated strong safe-haven characteristics during the Ukraine crisis, Gold exhibited strong safe-haven characteristics during COVID-19 for the NSE 50. Overall, the findings indicate that Gold is the better safe haven. This outcome is consistent with earlier research (Będowska-Sójka & Kliber, 2021; Drake, 2022; Ghazali et al., 2020; Shakil et al., 2018; Triki & Maatoug, 2021). When it comes to Bitcoin, its safe-haven feature is weak. Bitcoin, however, works well as a diversifier and hedge. Therefore, from a policy perspective, investing in safe-haven instruments is crucial to lower the risks associated with asset ownership. Policymakers aiming to enhance the stability of financial portfolios might encourage institutional investors and other market players to incorporate Gold into their asset allocations. Gold’s strong safe-haven qualities, proven across various market conditions, make it a reliable choice. Gold’s performance during crises like COVID-19 highlights its potential to mitigate systemic risks effectively. Further, Bitcoin could also play a complementary role as a hedge and diversifier, especially during periods of significant volatility such as the Ukraine crisis. While Bitcoin’s safe-haven characteristics are relatively weaker, its inclusion in a diversified portfolio offers notable value and hence it should not be overlooked. Further, policymakers may consider how crucial it is to monitor dynamic correlations and periodically rebalance portfolios to account for shifts in the safe haven and hedging characteristics of certain assets. Such measures could help reduce the risks of over-reliance on a single asset type and create more resilient portfolios that can better withstand global economic shocks. For future research, studies can be conducted on the estimation of the rolling window with different widths. This is important to understand how the safe-haven property changes across different holding periods. Further, more equity markets would be included to account for the differences in market capitalization and index constituents. This study can be extended by testing these properties for multi-asset portfolios as well. We intend to take up this study in these directions in the future. Data Availability StatementNot applicable.Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.FundingThe authors received no financial support for the research, authorship, and/or publication of this article.ReferencesAkhtaruzzaman M., Boubaker S., Lucey B. M., & Sensoy A. (2021). Is gold a hedge or a safe-haven asset in the COVID-19 crisis? Economic Modelling, 102, 105588. Crossref. Web of Science.Al-Nassar N. S. (2024). Can gold hedge against inflation in the UAE? A nonlinear ARDL analysis in the presence of structural breaks. PSU Research Review, 8(1), 151–166. Crossref.Barbu T. C., Boitan I. A., & Cepoi C. O. (2022). Are cryptocurrencies safe havens during the COVID-19 pandemic? A threshold regression perspective with pandemic-related benchmarks. Economics and Business Review, 8(2), 29–49. Crossref.Baur D. G., & Lucey B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217–229. Crossref.Będowska-Sójka B., & Kliber A. (2021). Is there one safe-haven for various turbulences? The evidence from gold, Bitcoin and Ether. The North American Journal of Economics and Finance, Elsevier, 56, 101390. Crossref.Belhassine O., & Karamti C. (2021). Contagion and portfolio management in times of COVID-19. Economic Analysis and Policy, 72, 73–86. Crossref. PubMed. Web of Science.Bhattacharjee A., Das J., & Kumar S. (2023). Evaluating the symmetrical and asymmetrical linkage between gold price and Indian stock market in the presence of structural change. NMIMS Management Review, 31(4), 288–297. Crossref. Web of Science.Bhuiyan R. A., Husain A., & Zhang C. (2023). Diversification evidence of Bitcoin and Gold from wavelet analysis. Financial Innovation, 9(1), 100. Crossref. PubMed. Web of Science.Bouri E., Azzi G., & Dyhrberg A. H. (2017). On the return-volatility relationship in the Bitcoin market around the price crash of 2013. Economics, 11(1), 2. Crossref.Bouri E., Gupta R., Tiwari A. K., & Roubaud D. (2017). Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions. Finance Research Letters, 23, 87–95. Crossref. Web of Science.Bouri E., Shahzad S. J. H., Roubaud D., Kristoufek L., & Lucey B. (2020). Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis. The Quarterly Review of Economics and Finance, 77, 156–164. Crossref. Web of Science.Brenner M., & Galai D. (1989). New financial instruments for hedge changes in volatility. Financial Analysts Journal, 45(4), 61–65. Crossref.Capie F., Mills T. C., & Wood G. (2005). Gold as a hedge against the dollar. Journal of International Financial Markets, Institutions and Money, 15(4), 343–352. Crossref.Ceylan Ö. (2022). Hedging Effectiveness of the VIX ETPs: An analysis of the time-varying performance of the VXX. In Handbook of research on new challenges and global outlooks in financial risk management (pp. 384–401). IGI Global. Crossref.Cheema M. A., Faff R., & Szulczyk K. R. (2022). The 2008 global financial crisis and COVID-19 pandemic: How safe are the safe haven assets? International Review of Financial Analysis, 83, 102316. Crossref. PubMed. Web of Science.Conlon T., & McGee R. (2020). Safe haven or risky hazard? Bitcoin during the COVID-19 bear market. Finance Research Letters, 35, 101607. Crossref. PubMed. Web of Science.Demir E., Gozgor G., Lau C. K. M., & Vigne S. A. (2018). Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation. Finance Research Letters, 26, 145–149. Crossref. Web of Science.Drake P. P. (2022). The gold-stock market relationship during COVID-19. Finance Research Letters, 44, 102111. Crossref. PubMed. Web of Science.Dwyer G. P. (2015). The economics of Bitcoin and similar private digital currencies. Journal of Financial Stability, 17, 81–91. Crossref. Web of Science.Dyhrberg A. H. (2015). Hedging capabilities of bitcoin. Is it the virtual gold? Finance Research Letters, 1–6. https://doi.org/10.1016/j.frl.2015.10.025Dyhrberg A. H. (2016). Hedging capabilities of bitcoin. Is it the virtual gold? Finance Research Letters, 16, 139–144. https://doi.org/10.1016/j.frl.2015.10.025 Web of Science.Engle R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339–350. Crossref. Web of Science.Ghazali M. F., Lean H. H., & Bahari Z. (2020). Does gold investment offer protection against stock market losses? Evidence from five countries. The Singapore Economic Review, 65(02), 275–301. Crossref.Hasan M. B., Hassan M. K., Rashid M. M., & Alhenawi Y. (2021). Are safe haven assets really safe during the 2008 global financial crisis and COVID-19 pandemic? Global Finance Journal, 50, 100668. Crossref. PubMed.Hood M., & Malik F. (2013). Is gold the best hedge and a safe haven under changing stock market volatility? Review of Financial Economics, 22(2), 47–52. Crossref.Huang Y., Duan K., & Mishra T. (2021). Is Bitcoin really more than a diversifier? A pre-and post-COVID-19 analysis. Finance Research Letters, 43, 102016. Crossref.Ji Q., Zhang D., & Zhao Y. (2020). Searching for safe-haven assets during the COVID-19 pandemic. International Review of Financial Analysis, 71, 101526. Crossref. PubMed. Web of Science.Kaczmarek T., Będowska-Sójka B., Grobelny P., & Perez K. (2022). False safe haven assets: Evidence from the target volatility strategy based on recurrent neural network. Research in International Business and Finance, 60, 101610. Crossref. Web of Science.Kumar A. S., & Padakandla S. R. (2022). Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach. Finance Research Letters, 47, 102707. Crossref. PubMed. Web of Science.Kumar M. A., Swathi J., Pallavi T. A., & Bavana S. (2023). Volume progression and price–volume relationship of commodity futures: Case of bullion and base metals. NMIMS Management Review, 31(4), 265–274. https://doi.org/10.1177/09711023241230463 Web of Science.Liu C. S., Chang M. S., Wu X., & Chui C. M. (2016). Hedges or safe havens—Revisit the role of gold and USD against stock: A multivariate extended skew-t copula approach. Quantitative Finance, 16(11), 1763–1789. Crossref.Liu R., Zhichao S., Wei G., & Wang W. (2017). GARCH model with fat-tailed distributions and Bitcoin exchange rate returns. Journal of Accounting, Business and Finance Research, 1(1), 71–75. https://doi.org/10.2139/ssrn.3666106 Crossref.Mokni K. (2021). When, where, and how economic policy uncertainty predicts Bitcoin returns and volatility? A quantiles-based analysis. The Quarterly Review of Economics and Finance, 80, 65–73. Crossref.Nagy B. Z., & Benedek B. (2021). Higher co-moments and adjusted Sharpe ratios for cryptocurrencies. Finance Research Letters, 39, 101543. Crossref. Web of Science.Nakamoto S. (2008). Bitcoin: A peer-to-peer electronic cash system. Bitcoin. https://bitcoin.org/bitcoin.pdfOkorie D. I. (2020). Could stock hedge Bitcoin risk(s) and vice versa? Digital Finance, 2(1), 117–136. Crossref.Paule-Vianez J., Prado-Román C., & Gómez-Martínez R. (2020). Economic policy uncertainty and Bitcoin. Is Bitcoin a safe-haven asset? European Journal of Management and Business Economics, 29(3), 347–363. Crossref.Ratner M., & Chiu C. C. J. (2013). Hedging stock sector risk with credit default swaps. International Review of Financial Analysis, 30, 18–25. Crossref. Web of Science.Salisu A. A., Raheem I. D., & Vo X. V. (2021). Assessing the safe haven property of the gold market during COVID-19 pandemic. International Review of Financial Analysis, 74, 101666. Crossref. PubMed. Web of Science.Saxena S., & Villar A. (2008). Hedging instruments in emerging market economies. Financial globalisation and emerging market capital flows. BIS Papers, 44, 71–87.Selmi R., Mensi W., Hammoudeh S., & Bouoiyour J. (2018). Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energy Economics, 74, 787–801. Crossref. Web of Science.Shahzad S. J. H., Bouri E., Roubaud D., Kristoufek L., & Lucey B. (2019). Is Bitcoin a better safe-haven investment than gold and commodities? International Review of Financial Analysis, 63, 322–330. Crossref. Web of Science.Shakil M. H., Mustapha I. H. M., Tasnia M., & Saiti B. (2018). Is gold a hedge or a safe haven? An application of ARDL approach. Journal of Economics, Finance and Administrative Science, 23(44), 60–76. Crossref.Singh V. V., Singh H., & Ansari A. (2024). Bitcoin as a distinct asset class for hedging and portfolio diversification: A DCC-GARCH model analysis. NMIMS Management Review, 32(1), 7–13. Crossref. Web of Science.Smales L. A. (2019). Bitcoin as a safe haven: Is it even worth considering? Finance Research Letters, 30, 385–393. Crossref. Web of Science.Snene Manzli Y., Alnafisah H., & Jeribi A. (2024). Safe haven ability of energy and agricultural commodities against G7 stock markets and banking indices during COVID-19, Russia–Ukraine War, and SVB collapse: Evidence from the wavelet coherence approach. Discrete Dynamics in Nature and Society, 2024(1), 2587000. Crossref.Syuhada K., Suprijanto D., & Hakim A. (2022). Comparing gold’s and Bitcoin’s safe-haven roles against energy commodities during the COVID-19 outbreak: A vine copula approach. Finance Research Letters, 46, 102471. Crossref. PubMed. Web of Science.Tarchella S., Khalfaoui R., & Hammoudeh S. (2024). The safe haven, hedging, and diversification properties of oil, gold, and cryptocurrency for the G7 equity markets: Evidence from the pre-and post-COVID-19 periods. Research in International Business and Finance, 67, 102125. Crossref. Web of Science.Triki M. B., & Maatoug A. B. (2021). The GOLD market as a safe haven against the stock market uncertainty: Evidence from geopolitical risk. Resources Policy, 70, 101872. Crossref. Web of Science.Umar Z., Bossman A., Choi S. Y., & Teplova T. (2023). The relationship between global risk aversion and returns from safe-haven assets. Finance Research Letters, 51, 103444. Crossref. Web of Science.Ustaoglu E. (2022). Safe-haven properties and portfolio applications of cryptocurrencies: Evidence from the emerging markets. Finance Research Letters, 47, 102716. Crossref. Web of Science.Widjaja M., & Havidz S. A. H. (2023). Are gold and cryptocurrency a safe haven for stocks and bonds? Conventional vs Islamic markets during the COVID-19 pandemic. European Journal of Management and Business Economics (ahead-of-print).Yan Y., Lei Y., & Wang Y. (2022). Bitcoin is a safe-haven asset and a medium of exchange. Axioms, 11(8), 415. Crossref.Yousaf I., Plakandaras V., Bouri E., & Gupta R. (2022). Hedge and safe haven properties of gold, US Treasury, Bitcoin, and Dollar/CHF against the FAANA companies and S&P 500 (Department of Economics, Working Paper Series No. 2022–27). University of Pretoria.Zhang Y., Zhu P., & Xu Y. (2021). Has COVID-19 changed the hedge effectiveness of bitcoin? Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.704900

Energy & Economics
To achieve sustainable environmental conservation, we must prioritize clean energy solutions to reduce our dependence on fossil fuels and promote a sustainable future for future generations.

Harnessing nuclear power for sustainable electricity generation and achieving zero emissions

by Mohamed Khaleel , Ziyodulla Yusupov , Sassi Rekik , Heybet Kılıç , Yasser F. Nassar , Hala J. El-Khozondar , Abdussalam Ali Ahmed

Note: some parts of the article have been excluded, if you want to go deep in the article please check  https://doi.org/10.1177/01445987251314504 for the complete version. Abstract Nuclear power plays a pivotal role in sustainable electricity generation and global net zero emissions, contributing significantly to this secure pathway. Nuclear power capacity is expected to double, escalating from 413 gigawatts (GW) in early 2022 to 812 GW by 2050 within the net zero emissions (NZE) paradigm. The global energy landscape is undergoing significant transformation as nations strive to transition to more sustainable energy systems. Amidst this shift, nuclear power has emerged as a crucial component in the pursuit of a sustainable energy transition. This study examines nuclear power's multifaceted role in shaping sustainable energy transition. It delves into nuclear energy's contributions toward decarbonization efforts, highlighting its capacity to provide low-carbon electricity and its potential role in mitigating climate change. Furthermore, the study explores the challenges and opportunities associated with integrating nuclear power into energy transition strategies, addressing issues such as safety, waste management, and public perception. In conclusion, the global nuclear power capacity is anticipated to reach approximately 530 GW by 2050, representing a substantial shortfall of 35% compared with the trajectory outlined in the NZE pathway. Under the NZE scenario, nuclear power demonstrates exceptional expansion, nearly doubling from 413 GW in early 2022 to 812 GW by 2050. Concurrently, the trajectory highlights a transformative shift in renewable energy investments, with annual expenditures surging from an average of US$325 billion during 2016–2020 to an impressive US$1.3 trillion between 2031 and 2035. These projections underscore the critical role of nuclear and renewable energy investments in achieving global sustainability and emission reduction goals. Introduction Global warming and greenhouse gas emissions pose some of the most pressing challenges of the 21st century. The combustion of fossil fuels for electricity generation is a major contributor to these issues, releasing billions of tons of carbon dioxide (CO2) into the atmosphere annually (Abbasi et al., 2020; Nassar et al., 2024; Rekik and El Alimi, 2024a). In this context, nuclear energy emerges as a critical component of the solution. Unlike fossil fuels, nuclear power generates electricity with minimal greenhouse gas emissions, offering a reliable and scalable alternative to bridge the gap between energy demand and decarbonization goals. It operates independently of weather conditions, providing consistent energy output and complementing the intermittency of renewable sources like wind and solar (Rekik and El Alimi, 2024b, 2024c). Furthermore, advancements in nuclear technologies, including small modular reactors (SMRs) and generation IV reactors, have addressed historical concerns related to safety, waste management, and cost-effectiveness (Lau and Tsai, 2023). In 2022, global investment in low-emission fuels will maintain a robust growth trajectory, reaching a sum of US$13 billion. A significant portion of this investment was allocated toward liquid biofuels, totaling US$9.4 billion, and biogas, amounting to US$2.7 billion. It is important to emphasize that liquid biofuels constituted approximately 80% of the overall investment surge observed in 2022, with investments in biogas contributing 4% of the total. The residual portion of the investment was directed toward low-emission hydrogen production, which attained a sum of US$1.2 billion in 2022, representing an almost fourfold increase compared to the figures recorded in 2021 (Khaleel et al., 2024).Nuclear power is a pivotal component of low-carbon energy, which significantly contributes to the realization of a low-carbon economy and establishment of a green energy grid (Arvanitidis et al., 2023; El Hafdaoui et al., 2024; Fragkos et al., 2021). According to current data, 442 nuclear power reactors are operational worldwide, collectively generating 393 gigawatts (GW) of electricity, thereby furnishing a consistent and dependable source of low-carbon power (Mathew, 2022). Nuclear electricity constitutes approximately 11% of the total global electricity generation, representing a substantial portion of the global low-carbon electricity production (Alam et al., 2019). Recent advancements have enhanced the affordability and appeal of nuclear power as an alternative source of energy. These advancements encompass progress in large reactor technologies, the emergence of novel approaches such as advanced fuel utilization and SMRs, engineering breakthroughs facilitating the extension of operational lifespans for existing reactors, and innovations in materials science and improved waste management practices (Kröger et al., 2020; Zhan et al., 2021). Fast breeder reactor technology has transitioned into a commercial realm, offering benefits beyond electricity generation by enabling the production of surplus fuel and enhancing the efficiency of nuclear waste incineration, surpassing the capabilities of existing commercial reactor technologies (Lau and Tsai, 2023). Nuclear power plays a substantial role within a secure global trajectory toward achieving net zero emissions (NZE) (Addo et al., 2023; Dafnomilis et al., 2023). Nuclear power capacity experiences a twofold increase, progressing from 413 GW at the outset of 2022 to 812 GW by 2050 within the NZE paradigm. It is apparent that the annual additions to nuclear capacity peaked at 27 GW per year during the 2030s, surpassing the levels observed in the preceding decade. Despite these advancements, the global proportion of nuclear power within the overall electricity generation portfolio has experienced a marginal decline, settling at 8% (Murphy et al., 2023; Ruhnau et al., 2023). Emerging and developing economies (EMDEs) substantially dominate global growth, constituting over 90% of the aggregate, with China poised to ascend as a preeminent nuclear power producer prior to 2030. Concurrently, advanced economies collectively witness a 10% augmentation in nuclear power capacity as retirements are counterbalanced by the commissioning of new facilities, predominantly observed in nations such as the United States, France, the United Kingdom, and Canada (Bórawski et al., 2024). Furthermore, annual global investment in nuclear power has experienced a notable escalation, soaring from US$30 billion throughout the 2010s to surpass US$100 billion by 2030, maintaining a robust trajectory above US$80 billion by 2050 (IEA, 2022). In 2022, global nuclear power capacity experienced a modest increase of approximately 1.5 GW, reflecting a marginal year-on-year growth of 0.3%. This expansion was primarily driven by new capacity additions that surpassed the retirement of an over 6 GW of existing capacity (Fernández-Arias et al., 2023; Mendelevitch et al., 2018). EMDEs accounted for approximately 60% of the new capacity additions, underscoring their increasing significance in the global nuclear energy landscape. Conversely, more than half of the retirements were observed in advanced economies, including Belgium, the United Kingdom, and the United States. Table 1 shows the nuclear power capacity by region in the NZE from 2018 to 2030.   In alignment with the Net Zero Scenario, it is imperative for the global nuclear capacity to undergo an expansion averaging approximately 15 GW per annum, constituting a growth rate slightly exceeding 3% annually, until 2030. This strategic augmentation is crucial for sustaining the contribution of the nuclear sector to electricity generation, maintaining its share at approximately 10% (Liu et al., 2023). Such an expansion necessitates concerted efforts in both advanced economies and EMDEs. Furthermore, prioritizing the extension of operational lifetimes of existing nuclear facilities within G7 member states would not only fortify the existing low-emission infrastructure, but also facilitate the integration of new nuclear capacity, thereby augmenting the overall nuclear energy portfolio. [...] The significant contribution of nuclear power to sustainable energy transitions is underscored by its multifaceted role in addressing the pressing challenges of climate change and energy security (Asif et al., 2024). As nations worldwide endeavor to shift toward greener energy systems, nuclear power has emerged as a critical pillar of the decarbonization journey. Its ability to provide low-carbon electricity, mitigate climate change impacts by 2050, and enhance energy security highlights its pivotal importance in the broader context of sustainable energy transitions (Bhattacharyya et al., 2023; NEA, 2015). Thus, to fully realize its potential, challenges such as safety, waste management, and public perception must be addressed effectively. By leveraging robust policy frameworks, technological advancements, and international collaboration, nuclear power is poised to play a vital role in shaping the future of sustainable energy transitions on a global scale. Furthermore, the dynamic landscape of nuclear power development is evident in the significant influence exerted by EMDEs, particularly China, which is expected to emerge as a leading nuclear power producer by 2030 (Fälth et al., 2021; Nkosi and Dikgang, 2021). Concurrently, advanced economies are witnessing notable expansions in nuclear power capacity driven by the commissioning of new facilities to offset retirements (Budnitz et al., 2018). This trend is further reinforced by a notable surge in annual global investment in nuclear power, underscoring the sustained commitment to nuclear energy's pivotal role in sustainable energy transitions in the foreseeable future (IEA, 2019). The primary objective of this article is to explore the strategic role of nuclear power in advancing global sustainability goals and achieving zero emissions. The objective is structured around the following key agendas: •Nuclear power: prominence and green electricity source•Nuclear's role in achieving net zero by 2050•Nuclear power's significance in power system adequacySpecific technologies for sustainability in nuclear energy production•Investment in nuclear power•Addressing policy implications This comprehensive analysis aims to provide actionable insights into harnessing nuclear power for sustainable electricity generation and its pivotal role in achieving global zero-emission targets. Data and methodology This article conducts an in-depth analysis of the role of nuclear power in achieving sustainable electricity generation and supporting NZE targets. The article also addresses the potential of nuclear energy as a prominent and environmentally favorable electricity source, examining nuclear power's contribution toward the net zero by 2050 goal, its critical importance in ensuring power system adequacy, investment imperatives, and the broader policy implications.  [...] Nuclear power: prominence and green electricity source In 2020, nuclear power will constitute approximately 10% of the global electricity generation portfolio. This proportion, which had previously stood at 18% during the late 1990s, has experienced a decline; nonetheless, nuclear energy retains its status as the second-largest provider of low-emission electricity, trailing only hydroelectricity, and serves as the primary source within advanced economies. Despite the substantial proliferation of wind and solar PV technologies, nuclear electricity production in 2020 surpassed the aggregate output of these renewable sources. As of 2021, the global cumulative installed nuclear capacity has reached 413 GW, with 270 GW of this total being installed in advanced economies (Guidi et al., 2023; Halkos and Zisiadou, 2023; Pan et al., 2023; Zhang et al., 2022). Nuclear power generation during this period amounted to 2653 TWh, positioning it as the second largest source of electricity generation after hydropower, which generated 4275 TWh, as depicted in Figure 1.   In addition to its significant role in power generation, nuclear energy plays a crucial role in mitigating carbon dioxide (CO2) emissions. Since the 1970s, nuclear power has helped avoid the global release of approximately 66 gigatons (Gt) of CO2 globally, as shown in Figure 2.   Without the contribution of nuclear power, cumulative emissions from electricity generation would have increased by approximately 20%, whereas total energy-related emissions would have increased by 6% over this period (Wagner, 2021). Advanced economies accounted for more than 85% of these avoided emissions, with the European Union accounting for 20 Gt and the United States for 24 Gt, representing over 40% and 25% of total electricity generation emissions, respectively. In the absence of nuclear power, Japan would have experienced an estimated 25% increase in emissions from electricity generation, whereas Korea and Canada would have seen an increase of approximately 50%. Nuclear's role in achieving net zero by 2050 Nuclear energy has emerged as a pivotal low-emission technology within the trajectory toward achieving NZE (Pioro et al., 2019). In addition, it serves as a complementary force, bolstering the accelerated expansion of renewables, thereby facilitating the reduction of emissions from the global electricity sector to net zero by 2040 (Krūmiņš and Kļaviņš, 2023; Islam et al., 2024). Beyond its intrinsic contribution to fostering a low-emission electricity supply, nuclear power is significant as a dispatchable generating asset, fortifying supply security through its provision of system adequacy and flexibility. Furthermore, it is instrumental in furnishing heat for district heating networks and in selecting industrial facilities. Despite this, the prospective role of nuclear energy hinges significantly on the deliberations and determinations of policymakers and industry stakeholders concerning the pace of new reactor construction initiatives and the continued operational lifespan of existing nuclear facilities (Li et al., 2016; Li et al., 2015).In terms of the NZE trajectory, the global nuclear power capacity exhibits a remarkable surge, nearly doubling from 413 GW at the onset of 2022 to 812 GW by 2050 (Price et al., 2023; Utami et al., 2022). This augmentation primarily stems from the vigorous initiation of new construction endeavors, which effectively counterbalance the gradual decommissioning of numerous extant plants. Such an escalation constitutes a pronounced acceleration in comparison to the preceding three decades, characterized by a mere 15% increment in capacity, equivalent to approximately 60 GW (Haneklaus et al., 2023; Obekpa and Alola, 2023; Sadiq et al., 2023). Figure 3 demonstrates the nuclear power capacity within each country/region under the NZE by 2050 scenario.   The expected growth in nuclear power capacity far exceeds the path outlined by the current policies and legal frameworks. According to the Stated Policies Scenario (STEPS), the nuclear capacity is projected to reach approximately 530 GW by 2050, which is 35% lower than that of the NZE pathway (Espín et al., 2023; Nicolau et al., 2023; Nnabuife et al., 2023; Wang et al., 2023). Without a significant shift from recent nuclear power development trends, achieving NZE would require a limited reliance on a smaller range of low-emission technologies. This could compromise energy security and lead to higher total investment costs, resulting in increased electricity prices for consumers. Table 2 shows the average annual capacity addition for global nuclear power in NZE from 1981 to 2030.   In 2022, the global deployment of new nuclear power capacity witnessed a notable upsurge, with 7.9 GW added, representing a substantial 40% increase compared to the preceding year (Ho et al., 2019). It is worth bearing in mind that China spearheaded this expansion by completing the construction of two reactors, maintaining its streak for consecutive years as the leading contributor to global nuclear power capacity augmentation. It is noteworthy that the projects were successfully completed in various other nations, including Finland, Korea, Pakistan, and the United Arab Emirates. Additionally, significant strides were made in the initiation of new construction endeavors, with the commencement of construction activities on five reactors in China, two reactors in Egypt, and one reactor in Turkey (Hickey et al., 2021). Nuclear power's significance in power system adequacy Nuclear power facilities have persistently underpinned the dependability of power systems, thereby bolstering the adequacy of the system. Across diverse national contexts, nuclear power plants have historically maintained operational readiness, manifesting availability rates consistently exceeding 90%, thereby demonstrating their reliability in power generation. Given that a substantial proportion of nuclear power capacity directly contributes to system adequacy metrics, its significance in fortifying system reliability and adequacy significantly outweighs its proportional contribution to the total power capacity (Orikpete and Ewim, 2024; Frilingou et al., 2023; Raj, 2023; Ragosa et al., 2024). The contribution of nuclear power to system adequacy is demonstrated by the consistent trajectory of its share within the aggregate dispatchable power capacity, hovering at around 8% between 2021 and 2050 within the NZE framework (IEA, 2022; OIES, 2024). Dispatchable electricity sources have historically constituted the primary mechanism for ensuring system adequacy, a trend that endures within the NZE paradigm, especially as electricity systems undergo evolution marked by an escalating reliance on variable solar photovoltaic (PV) and wind energy sources (Marzouk, 2024; Moon et al., 2024; Wisnubroto et al., 2023). It is indisputable that unabated fossil fuel resources predominantly dominate dispatchable capacity; however, their prominence clearly diminishes, declining by a quarter by 2030 within the NZE framework and experiencing a precipitous decline thereafter. Unabated coal-fired power, currently the most substantial dispatchable source, anticipates a decline exceeding 40% in operational capacity by 2030 and approaches a state of negligible contribution by the early 2040s. Conversely, the unabated natural gas-fired power capacity exhibits a sustained level of stability until 2030, primarily driven by the necessity to offset the diminishing role of coal; nonetheless, it subsequently undergoes a rapid descent throughout the 2030s. Oil, constituting a comparatively minor contributor, experiences rapid phasing out across most regions, except for remote locales, within the delineated scenario (Makarov et al., 2023; Ren et al., 2024). Figure 4 highlights the global capacity of dispatchable power categorized by category in the scenario of achieving NZE by 2050.   In this context, fossil fuels equipped with Carbon Capture, Utilization, and Storage (CCUS) technology have emerged as notable contributors to bolstering system adequacy. Yet, nuclear power remains a steady contributor to the power system flexibility. In advanced economies, the proportion of hour-to-hour flexibility is projected to increase from approximately 2% to 5% by 2050. Similarly, in EMDEs, this ratio is anticipated to increase from 1% to 3% over the same temporal span (Jenkins et al., 2018). It is worth highlighting that in France, where nuclear power fulfills the lion's share of electricity generation requisites, flexibility has been ingrained within reactor designs (Ho et al., 2019). This feature enables certain plants to swiftly modulate their output to align with the fluctuating electricity supply and demand, operating in a load-following mode (Chen, 2024; Jin and Bae, 2023; Kanugrahan and Hakam, 2023). Although many nations have not habitually engaged nuclear power in such operational dynamics, a considerable number of reactors are capable of performing load-following operations with minimal or no requisite technical adaptations (Caciuffo et al., 2020). Figure 5 demonstrates the hour-to-hour power system flexibility based on the source and regional grouping in the NZE by the 2050 scenario.   Innovation holds promise in enhancing the flexibility of nuclear power. Advanced technological advancements, such as SMRs, can facilitate nuclear reactors to adjust their electricity output with greater ease, as illustrated in Figure 6 (Ho et al., 2019; Lee, 2024; Wisnubroto et al., 2023). Moreover, these technologies offer the prospect of enabling reactors to transition toward generating heat or producing hydrogen either independently or concurrently with electricity generation. Initiatives are underway to disseminate information to policymakers and planners regarding the potential cost advantages associated with enhancing nuclear power flexibility.  Figure 6 demonstrates the nuclear system augmented by wind turbines for trigeneration.   Investment in nuclear power The renaissance of nuclear power within the NZE trajectory necessitates a substantial surge in investment in the coming decades. This surge is envisaged to encompass the construction of new nuclear reactors and extension of operational lifespans for existing facilities. Within this scenario, annual global investment in nuclear power is poised to escalate to exceed US$100 billion during the initial half of the 2030s within the NZE framework, surpassing the threefold average investment level of US$30 billion recorded during the 2010s (IEA, 2022). Subsequently, investment levels are expected to gradually decline as the imperative for dispatchable low emissions generating capacity diminishes, tapering to approximately US$70 billion by the latter half of the 2040s (Kharitonov and Semenova, 2023; Zimmermann and Keles, 2023). Over the period spanning from 2021 to 2050, the allocation of investment toward nuclear power constitutes a fraction representing less than 10% of the aggregate investment dedicated to low-emission sources of electricity (IEA, 2022). By comparison, within this framework, the annual investment in renewable energy experiences a notable escalation, escalating from an average of US$325 billion during the interval from 2016 to 2020 to US$1.3 trillion during the period 2031–2035 (EEDP, 2023; Rekik and El Alimi, 2024d). It is worth noting that the latter consideration elucidates the rationale behind the disproportionate allocation of investment toward advanced economies in later decades. China, for instance, requires an annual expenditure averaging close to US$20 billion on nuclear infrastructure by 2050, representing a nearly twofold increase compared to the average observed during the 2010s (Aghahosseini et al., 2023; Vujić et al., 2012). Conversely, other EMDEs witness a tripling of investment, reaching approximately US$25 billion per year, on average. In contrast to advanced economies, the imperative for investment in these nations is more pronounced in the period leading up to 2035 (Bhattacharyya et al., 2023; Khaleel et al., 2024). Thus, nuclear energy, despite its advantages as a low-carbon energy source, faces notable challenges. High capital costs and long deployment timelines, driven by complex construction and regulatory requirements, often hinder its adoption. The management of radioactive waste remains a costly and contentious issue, while safety concerns, shaped by historical incidents, continue to influence public perception. Additionally, reliance on uranium, with its geographically concentrated supply, raises geopolitical and environmental concerns. Nuclear power also competes with the rapidly advancing and cost-effective renewable energy sector, while decommissioning aging plants poses long-term financial and logistical burdens. Addressing these limitations through advanced technologies, public engagement, and international collaboration is crucial for enhancing nuclear energy's role in sustainable energy transitions. Technologies for sustainability in nuclear energy production The pursuit of sustainability in nuclear energy production has been supported by advancements in innovative technologies that enhance efficiency, safety, and environmental compatibility (Aktekin et al., 2024; Ali et al., 2024; Zheng et al., 2024; Khan et al., 2017). These technologies are crucial for positioning nuclear power as a key contributor to clean and sustainable energy transitions. Below are some of the most impactful technologies in this domain: Advanced nuclear reactors: Small modular reactors (SMRs): SMRs are compact, scalable, and safer than traditional large-scale reactors. Their modular design allows for deployment in remote locations, making them suitable for decentralized energy systems. Generation IV reactors: These reactors incorporate advanced cooling systems and fuel cycles to improve efficiency, safety, and waste reduction. Examples include sodium-cooled fast reactors and gas-cooled fast reactors. Thorium-based reactors: Thorium fuel cycle reactors use thorium-232 as an alternative to uranium, offering a more abundant and sustainable fuel source. Thorium reactors produce less nuclear waste and have a lower risk of proliferation. Fusion energy: Although still in the experimental stage, nuclear fusion promises to be a game-changing technology. Fusion produces minimal radioactive waste and harnesses abundant fuel sources like deuterium and tritium, making it a virtually limitless and clean energy solution. Molten salt reactors (MSRs): MSRs use liquid fuels or coolants, such as molten salts, which operate at lower pressures and higher temperatures. These reactors are inherently safer and have the capability to utilize a variety of fuel types, including spent nuclear fuel and thorium. Reactor safety enhancements: Passive safety systems: These systems enhance reactor safety by using natural forces like gravity, natural convection, or condensation to cool the reactor core without human intervention. Digital twin technologies: Digital simulations and monitoring of reactor systems allow for predictive maintenance and real-time safety management. Nuclear waste management technologies Fast reactors: These reactors can recycle spent fuel, reducing the volume and radioactivity of nuclear waste. Deep geological repositories: Advances in geotechnical engineering have improved the safety of long-term waste storage in deep geological formations. Hybrid nuclear-renewable systems: Combining nuclear power with renewable energy sources like wind and solar can optimize energy production and grid stability. Hybrid systems leverage the reliability of nuclear energy with the intermittency of renewables for a balanced, low-carbon energy mix. Artificial intelligence (AI) and machine learning: AI and machine learning technologies are being deployed to enhance reactor performance, optimize fuel usage, and improve operational safety. Predictive analytics also play a critical role in maintenance and risk assessment. Fuel advancements: High-assay low-enriched uranium (HALEU): HALEU fuels enable reactors to operate more efficiently and reduce waste. Accident-tolerant fuels (ATFs): These are designed to withstand extreme conditions, reducing the likelihood of core damage during accidents. Integrated energy systems: Nuclear reactors are increasingly being used for purposes beyond electricity generation, such as hydrogen production, district heating, and desalination. The integration of digital technologies, including AI and machine learning, coupled with fuel advancements like HALEU and accident-tolerant fuels, highlights the continuous evolution of the nuclear sector. These innovations not only enhance efficiency and safety but also expand the applications of nuclear energy beyond electricity generation to include hydrogen production, desalination, and district heating. Despite these technological advancements, the sustainable deployment of nuclear energy requires robust policy frameworks, increased investments, and public acceptance. Addressing these challenges is critical to unlocking the full potential of nuclear power in achieving global energy security and NZE by 2050. [...] Discussion and policy implications Nuclear power presents a compelling case as a sustainable energy source owing to its several key advantages. Its high-energy density allows for substantial electricity generation from minimal fuel, enabling continuous operation, unlike intermittent renewables, such as solar and wind (Rekik and El Alimi, 2023a, 2023b), thus contributing significantly to grid stability (Cramer et al., 2023). Furthermore, nuclear power is a crucial tool for emissions reduction, boasting virtually no greenhouse gas emissions during operation. Although lifecycle emissions associated with fuel processing and plant construction exist, they remain comparable to or lower than those of renewables. Several studies have reported on the energy production capabilities of nuclear power and its contribution to reducing greenhouse gas emissions compared to other energy sources. A key aspect of these analyses is quantifying the potential contribution of nuclear power to reducing greenhouse gas emissions and achieving net zero targets. However, direct comparison of reported data can be challenging due to variations in model assumptions, geographic scope, and time horizons.  [...] From another perspective, radioactive waste generation poses a significant challenge to nuclear power because of its long-term hazardous nature. This necessitates meticulous management and disposal strategies to mitigate potential social impacts. These impacts arise from perceived or actual risks to human health and the environment, fueling public anxiety and opposition to nuclear power, which is often expressed through protests and legal action (Kyne and Bolin, 2016; Nilsuwankosit, 2017; Ram Mohan and Namboodhiry, 2020). Additionally, communities near waste sites can experience stigmatization, resulting in decreased property values and social isolation. The persistent nature of radioactive waste also raises intergenerational equity issues, burdening future generations with its management (Deng et al., 2020; Mason-Renton and Luginaah, 2019). Thus, transparent communication and stakeholder engagement are crucial for building public trust and ensuring responsible radioactive waste management (Dungan et al., 2021; Sančanin and Penjišević, 2023). There are various radioactive waste disposal pathways, each with unique social and technical considerations. Deep geological disposal, an internationally favored method for high-level waste disposal, involves burying waste deep underground for long-term isolation. Interim storage provides a secure temporary holding until a permanent solution is obtained (Chapman, 1992; Grambow, 2022). Reprocessing spent nuclear fuel recovers reusable materials, reducing high-level waste but creating lower-level waste. Advanced reactor technologies aim to minimize waste and improve safety, potentially converting long-lived isotopes into shorter-lived isotopes (Dixon et al., 2020; Englert and Pistner, 2023). Choosing a disposal pathway requires careful evaluation of factors, such as waste type and volume, geology, feasibility, cost, and public acceptance, often leading to a combined approach. Ongoing community engagement and addressing concerns are essential to safe and responsible waste management. Effective management and disposal of this waste require advanced technological solutions, robust regulatory frameworks, and long-term planning to ensure safety and sustainability (Abdelsalam et al., 2024; Rekik and El Alimi, 2024a), Moreover, its relatively small land footprint compared to other energy sources, especially solar and wind farms, minimizes the ecosystem impact and makes it a sustainable option in densely populated areas (Poinssot et al., 2016; Sadiq et al., 2022). Nuclear power also enhances energy security by reducing reliance on fossil fuels, which is particularly valuable in countries with limited domestic resources (Cramer et al., 2023; Ichord Jr., 2022). Additionally, nuclear power exhibits synergy with other clean technologies, providing a stable baseload complementing variable renewables and facilitating hydrogen production for diverse energy applications (Abdelsalam et al., 2024; El-Emam and Subki, 2021; Salam and Khan, 2018; Rekik, 2024; Rekik and El Alimi, 2024e). Finally, ongoing advancements in reactor design, such as SMRs, promise enhanced safety, reduced costs, and greater deployment flexibility, further solidifying the role of nuclear power in decarbonizing the electricity sector (Aunedi et al., 2023). Supportive policies and international cooperation are essential for fully realizing the potential of nuclear energy. Streamlined licensing and regulatory frameworks are crucial for reducing deployment time and costs and ensuring that safety standards are met efficiently (Gungor and Sari, 2022; Jewell et al., 2019). Furthermore, incentivizing investments through financial tools such as tax credits and loan guarantees can attract private capital and create a level-playing field for nuclear power (Decker and Rauhut, 2021; Nian and Hari, 2017; Zimmermann and Keles, 2023). Addressing public perception through education and engagement is equally important for building trust and acceptance. Moreover, international cooperation is vital in several respects. The disposal of radioactive waste remains a complex issue, requiring careful long-term management and securing geological repositories to prevent environmental contamination owing to the long half-life of some isotopes. Furthermore, while modern reactors incorporate advanced safety features, the potential for accidents such as Chernobyl and Fukushima remains a concern because of the potential for widespread radiation release and long-term health consequences (Denning and Mubayi, 2016; Högberg, 2013; Wheatley et al., 2016). Moreover, the high initial costs associated with design, construction, and licensing present significant barriers to new nuclear projects, particularly in developing countries. In addition, the risk of nuclear proliferation, in which technology intended for peaceful energy production is diverted for weapons development, necessitates stringent international safeguards, as highlighted by following reference. Public perception also plays a crucial role because negative opinions and concerns about safety and waste disposal can create opposition to new projects. Finally, the decommissioning of nuclear plants at the end of their operational life is a complex and costly process that requires substantial resources and expertise to dismantle reactors and manage radioactive materials. [...] Conclusion The role of nuclear power in sustainable energy transition is multifaceted and significant. As nations worldwide strive to transition toward more environmentally friendly energy systems, nuclear power has emerged as a crucial component of the decarbonization journey. Its capacity to provide low-carbon electricity, mitigate climate change, and contribute to energy security underscores its importance in the broader context of sustainable energy transitions. Despite this, challenges such as safety, waste management, and public perception must be addressed to fully harness the potential of nuclear power to achieve sustainability goals. By leveraging policy frameworks, technological innovations, and international cooperation, nuclear power can play a vital role in shaping the future of sustainable energy transition on a global scale. In this context, EMDEs exert a substantial influence on global growth, collectively accounting for over 90% of the aggregate, with China positioned to emerge as the foremost nuclear power producer before 2030. Concurrently, advanced economies have witnessed a notable 10% increase in their nuclear power capacity. This augmentation is attributed to the commissioning of new facilities, which offset retirements, manifestly observed in nations such as the United States, France, the United Kingdom, and Canada. Furthermore, there is a marked escalation in annual global investment in nuclear power, surging from US$30 billion throughout the 2010s to surpass US$100 billion by 2030. This upward trajectory is robustly sustained, remaining above US$80 billion by 2050. In conclusion, the remarkable decline in the levelized cost of electricity (LCOE) for solar PV and wind power over the past decade has positioned renewable energy as a cost-competitive and viable alternative to fossil fuels in many regions. The over 80% reduction in LCOE for utility-scale solar PV from 2010 to 2022 exemplifies the economic feasibility of renewables. Concurrently, the steady growth in renewable energy capacity, spearheaded by solar and wind energy, underscores their critical role in the global energy transition. With renewable electricity capacity surpassing 3300 GW in 2023 and accounting for over one-third of the global power mix, renewable energy is undeniably at the forefront of efforts to achieve a sustainable, low-carbon energy future. Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.FundingThe authors received no financial support for the research, authorship, and/or publication of this article.ORCID iDSassi Rekik https://orcid.org/0000-0001-5224-4152Supplemental materialSupplemental material for this article is available online.ReferencesAbbasi K, Jiao Z, Shahbaz M, et al. (2020) Asymmetric impact of renewable and non-renewable energy on economic growth in Pakistan: New evidence from a nonlinear analysis. Energy Exploration & Exploitation 38(5): 1946–1967. Crossref. Web of Science.Abdelsalam E, Almomani F, Azzam A, et al. (2024) Synergistic energy solutions: Solar chimney and nuclear power plant integration for sustainable green hydrogen, electricity, and water production. Process Safety and Environmental Protection 186: 756–772. Crossref. Web of Science.Addo EK, Kabo-bah AT, Diawuo FA, et al. (2023) The role of nuclear energy in reducing greenhouse gas (GHG) emissions and energy security: A systematic review. International Journal of Energy Research 2023(1): 8823507.Aghahosseini A, Solomon AA, Breyer C, et al. (2023) Energy system transition pathways to meet the global electricity demand for ambitious climate targets and cost competitiveness. Applied Energy 331: 120401. Crossref. Web of Science.Ake SC, Arango FO, Ruiz RSG (2024) Possible paths for Mexico’s electricity system in the clean energy transition. Utilities Policy 87: 101716. Crossref. Web of Science.Aktekin M, Genç MS, Azgın ST, et al. (2024) Assessment of techno-economic analyzes of grid-connected nuclear and PV/wind/battery/hydrogen renewable hybrid system for sustainable and clean energy production in Mersin-Türkiye. Process Safety and Environmental Protection: Transactions of the Institution of Chemical Engineers, Part B 190: 340–353. Crossref. Web of Science.Alam F, Sarkar R, Chowdhury H (2019) Nuclear power plants in emerging economies and human resource development: A review. Energy Procedia 160: 3–10. Crossref.Ali M, Samour A, Soomro SA, et al. (2024) A step towards a sustainable environment in top-10 nuclear energy consumer countries: The role of financial globalization and nuclear energy. Nuclear Engineering and Technology 103142: 103142.Arvanitidis AI, Agarwal V, Alamaniotis M (2023) Nuclear-driven integrated energy systems: A state-of-the-art review. Energies 16(11): 4293. Crossref. Web of Science.Asif M, Solomon B, Adulugba C (2024) Prospects of nuclear power in a sustainable energy transition. Arabian Journal for Science and Engineering: 1–11. Crossref. Web of Science.Aunedi M, Al Kindi AA, Pantaleo AM, et al. (2023) System-driven design of flexible nuclear power plant configurations with thermal energy storage. Energy Conversion and Management 291: 117257. Crossref. Web of Science.Bhattacharya S, Banerjee R, Ramadesigan V, et al. (2024) Bending the emission curve—The role of renewables and nuclear power in achieving a net-zero power system in India. Renewable and Sustainable Energy Reviews 189: 113954. Crossref. Web of Science.Bhattacharyya R, El-Emam RS, Khalid F (2023) Climate action for the shipping industry: Some perspectives on the role of nuclear power in maritime decarbonization. E-Prime-Advances in Electrical Engineering, Electronics and Energy 4(2023): 100132. Crossref.Bórawski P, Bełdycka-Bórawska A, Klepacki B, et al. (2024) Changes in gross nuclear electricity production in the European union. Energies 17(14): 3554. Crossref. Web of Science.Budnitz RJ, Rogner HH, Shihab-Eldin A (2018) Expansion of nuclear power technology to new countries–SMRs, safety culture issues, and the need for an improved international safety regime. Energy Policy 119: 535–544. Crossref. Web of Science.Caciuffo R, Fazio C, Guet C (2020) Generation-IV nuclear reactor systems. EPJ Web of Conferences 246: 00011. Crossref.Cai ZB, Li ZY, Yin MG, et al. (2020) A review of fretting study on nuclear power equipment. Tribology International 144: 106095. Crossref. Web of Science.Chapman NA (1992) Natural radioactivity and radioactive waste disposal. Journal of Volcanology and Geothermal Research 50(1–2): 197–206. Crossref. Web of Science.Chen CC (2024) Comparative impacts of energy sources on environmental quality: A five-decade analysis of Germany’s Energiewende. Energy Reports 11: 3550–3561. Crossref. Web of Science.Cramer C, Lacivita B, Laws J, et al. (2023) What will it take for nuclear power to meet the climate challenge? Columbus, Atlanta, Boston, Houston, Toronto: McKinsey & Company. https://www.mckinsey.com/industries/electric-power-and-natural-gas/our-insights/what-will-it-take-for-nuclear-power-to-meet-the-climate-challenge.Dafnomilis I, den Elzen M, Van Vuuren DP (2023) Achieving net-zero emissions targets: An analysis of long- term scenarios using an integrated assessment model. Annals of the New York Academy of Sciences 1522(1): 98–108. Crossref. PubMed. Web of Science.Decker D, Rauhut K (2021) Incentivizing good governance beyond regulatory minimums: The civil nuclear sector. Journal of Critical Infrastructure Policy 2(2): 19–43. Crossref.Deng D, Zhang L, Dong M, et al. (2020) Radioactive waste: A review. Water Environment Research: A Research Publication of the Water Environment Federation 92(10): 1818–1825. Crossref. PubMed. Web of Science.Denning R, Mubayi V (2016) Insights into the societal risk of nuclear power plant accidents. Risk Analysis 37(1): 160–172. Crossref. PubMed. Web of Science.Dixon B, Hoffman E, Feng B, et al. (2020) Reassessing methods to close the nuclear fuel cycle. Annals of Nuclear Energy 147: 107652. Crossref. Web of Science.Dungan K, Gregg RWH, Morris K, et al. (2021) Assessment of the disposability of radioactive waste inventories for a range of nuclear fuel cycles: Inventory and evolution over time. Energy 221: 119826. Crossref. Web of Science.El-Emam RS, Subki MH (2021) Small modular reactors for nuclear-renewable synergies: Prospects and impediments. International Journal of Energy Research 45(11): 16995–17004. Crossref. Web of Science.El Hafdaoui H, Khallaayoun A, Ouazzani K. (2024) Long-term low carbon strategy of Morocco: A review of future scenarios and energy measures. Results in Engineering 21: 101724. Crossref. Web of Science.Englert M, Pistner C (2023) Technological readiness of alternative reactor concepts. Safety of Nuclear Waste Disposal 2: 209–209. Crossref.Espín J, Estrada S, Benítez D, et al. (2023) A hybrid sliding mode controller approach for level control in the nuclear power plant steam generators. Alexandria Engineering Journal 64: 627–644. Crossref. Web of Science.European Economy Discussion Papers (EEDP) (2023) The development of renewable energy in the electricity market. Available at: https://economy-finance.ec.europa.eu/ecfin-publications_en.Fälth HE, Atsmon D, Reichenberg L, et al. (2021) MENA compared to Europe: The influence of land use, nuclear power, and transmission expansion on renewable electricity system costs. Energy Strategy Reviews 33: 100590. Crossref. Web of Science.Fernández-Arias P, Vergara D, Antón-Sancho Á (2023) Global review of international nuclear waste management. Energies 16(17): 6215. Crossref. Web of Science.Fragkos P, Van Soest HL, Schaeffer R, et al. (2021) Energy system transitions and low-carbon pathways in Australia, Brazil, Canada, China, EU-28, India, Indonesia, Japan, Republic of Korea, Russia and the United States. Energy 216: 119385. Crossref. Web of Science.Frilingou N, Xexakis G, Koasidis K, et al. (2023) Navigating through an energy crisis: Challenges and progress towards electricity decarbonisation, reliability, and affordability in Italy. Energy Research & Social Science 96: 102934. Crossref. Web of Science.Grambow B (2022) Mini review of research requirements for radioactive waste management including disposal. Frontiers in Nuclear Engineering 1: 1052428. Crossref.Guidi G, Violante AC, De Iuliis S (2023) Environmental impact of electricity generation technologies: A comparison between conventional, nuclear, and renewable technologies. Energies 16(23): 7847. Crossref. PubMed. Web of Science.Gungor G, Sari R (2022) Nuclear power and climate policy integration in developed and developing countries. Renewable and Sustainable Energy Reviews 169: 112839. Crossref. Web of Science.Halkos G, Zisiadou A (2023) Energy crisis risk mitigation through nuclear power and RES as alternative solutions towards self-sufficiency. Journal of Risk and Financial Management 16(1): 45. Crossref. Web of Science.Haneklaus N, Qvist S, Gładysz P, et al. (2023) Why coal-fired power plants should get nuclear-ready. Energy 280: 128169. Crossref. Web of Science.Hickey SM, Malkawi S, Khalil A (2021) Nuclear power in the Middle East: Financing and geopolitics in the state nuclear power programs of Turkey, Egypt, Jordan and the United Arab Emirates. Energy Research & Social Science 74: 101961. Crossref. Web of Science.Ho M, Obbard E, Burr PA, et al. (2019) A review on the development of nuclear power reactors. Energy Procedia 160: 459–466. Crossref.Högberg L (2013) Root causes and impacts of severe accidents at large nuclear power plants. AMBIO 42(3): 267–284. Crossref. PubMed. Web of Science.Hunter CA, Penev MM, Reznicek EP, et al. (2021) Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids. Joule 5(8): 2077–2101. Crossref. Web of Science.Ichord RF Jr (2022) Nuclear energy and global energy security in the new tripolar world order. Available at: https://www.atlanticcouncil.org/blogs/energysource/nuclear-energy-and-global-energy-security-in-the-new-tripolar-world-order/.International Energy Agency (IEA) (2019) Nuclear power in a clean energy system, OECD Publishing, Paris. Available at: Crossref.International Energy Agency (IEA) (2022) Nuclear power and secure energy transitions, IEA, Paris. Available at: https://www.iea.org/reports/nuclearpower-and-secure-energy-transitions.Islam MM, Shahbaz M, Samargandi N (2024) The nexus between Russian uranium exports and US nuclear-energy consumption: Do the spillover effects of geopolitical risks matter? Energy 293: 130481. Crossref. Web of Science.Islam MS, Roy S, Alfee SL, et al. (2023) An empirical study of the risk-benefit perceptions between the nuclear and non-nuclear groups towards the nuclear power plant in Bangladesh. Nuclear Engineering and Technology 55(12): 4617–4627. Crossref. Web of Science.Jenkins JD, Zhou Z, Ponciroli R, et al. (2018) The benefits of nuclear flexibility in power system operations with renewable energy. Applied Energy 222: 872–884. Crossref. Web of Science.Jewell J, Ates SA (2015) Introducing nuclear power in Turkey: A historic state strategy and future prospects. Energy Research & Social Science 10: 273–282. Crossref. Web of Science.Jewell J, Vetier M, Garcia-Cabrera D (2019) The international technological nuclear cooperation landscape: A new dataset and network analysis. Energy Policy 128: 838–852. Crossref. Web of Science.Jin B, Bae Y (2023) Prospective research trend analysis on zero-energy building (ZEB): An artificial intelligence approach. Sustainability 15(18): 13577. Crossref. Web of Science.Kanugrahan SP, Hakam DF (2023) Long-term scenarios of Indonesia power sector to achieve nationally determined contribution (NDC) 2060. Energies 16(12): 4719. Crossref. Web of Science.Khaleel M, Yusupov Z, Guneser M, et al. (2024) Towards hydrogen sector investments for achieving sustainable electricity generation. Journal of Solar Energy and Sustainable Development 13(1): 71–96. Crossref.Khalid F, Bicer Y (2019) Energy and exergy analyses of a hybrid small modular reactor and wind turbine system for trigeneration. Energy Science & Engineering 7(6): 2336–2350. Crossref. Web of Science.Khan SU-D, Khan SU-D, Haider S, et al. (2017) Development and techno-economic analysis of small modular nuclear reactor and desalination system across Middle East and North Africa region. Desalination 406: 51–59. Crossref. Web of Science.Kharitonov VV, Semenova DY (2023) On the economic efficiency of nuclear power digitization under the conditions of global energy transition. Studies on Russian Economic Development 34(2): 221–230. Crossref.Kim P, Yasmine H, Yim MS, et al. (2024) Challenges in nuclear energy adoption: Why nuclear energy newcomer countries put nuclear power programs on hold? Nuclear Engineering and Technology 56(4): 1234–1243. Crossref. Web of Science.Kosai S, Unesaki H (2024) Nuclear power, resilience, and energy security under a vulnerability-based approach. Cleaner Energy Systems 7: 100107. Crossref.Kröger W, Sornette D, Ayoub A (2020) Towards safer and more sustainable ways for exploiting nuclear power. World Journal of Nuclear Science and Technology 10(3): 91–115. Crossref.Krūmiņš J, Kļaviņš M (2023) Investigating the potential of nuclear energy in achieving a carbon-free energy future. Energies 16(9): 3612. Crossref. Web of Science.Kwasi S, Cilliers J, Yeboua K, et al. (2025) A developing country’s perspective on race to sustainability: Sustainability for countries with weak economic performance—Case study: Egypt’s challenge and opportunities to 2050. In: The Sustainability Handbook, Volume 1. Elsevier, 511–569. Crossref.Kyne D, Bolin B (2016) Emerging environmental justice issues in nuclear power and radioactive contamination. International Journal of Environmental Research and Public Health 13: 00. Crossref. Web of Science.Lau HC, Tsai SC (2023) Global decarbonization: Current status and what it will take to achieve net zero by 2050. Energies 16(23): 7800. Crossref. Web of Science.Lee JI (2024) Review of small modular reactors: Challenges in safety and economy to success. Korean Journal of Chemical Engineering 41: 2761–2780. Crossref. Web of Science.Li N, Brossard D, Anderson AA, et al. (2016) How do policymakers and think tank stakeholders prioritize the risks of the nuclear fuel cycle? A semantic network analysis. Journal of Risk Research 21(5): 599–621. Crossref. Web of Science.Li N, Brossard D, Su LYF, et al. (2015) Policy decision-making, public involvement and nuclear energy: What do expert stakeholders think and why? Journal of Responsible Innovation 2(3): 266–279. Crossref.Lin B, Xie Y (2022) Analysis on operational efficiency and its influencing factors of China’s nuclear power plants. Energy 261: 125211. Crossref. Web of Science.Liu L, Guo H, Dai L, et al. (2023) The role of nuclear energy in the carbon neutrality goal. Progress in Nuclear Energy 162: 104772. Crossref. Web of Science.Makarov V, Kaplin M, Perov M, et al. (2023) Optimization of coal products supply for the power industry and the country’s economy. In: Studies in Systems, Decision and Control, Cham: Springer Nature Switzerland, pp.87–98.Markard J, Bento N, Kittner N, et al. (2020) Destined for decline? Examining nuclear energy from a technological innovation systems perspective Energy Research & Social Science 67: 101512. Crossref. Web of Science.Marzouk OA (2024) Expectations for the role of hydrogen and its derivatives in different sectors through analysis of the four energy scenarios: IEA-STEPS, IEA-NZE, IRENA- PES, and IRENA-1.5°C. Energies 17(3): 46. Crossref. Web of Science.Mason-Renton SA, Luginaah I (2019) Lasting impacts and perceived inequities: Community reappraisal of the siting of a regional biosolids processing facility in rural Ontario. Journal of Risk Research 22(8): 1044–1061. Crossref. Web of Science.Mathew MD (2022) Nuclear energy: A pathway towards mitigation of global warming. Progress in Nuclear Energy 143: 104080. Crossref. Web of Science.Mendelevitch R, Kemfert C, Oei PY, et al. (2018) The electricity mix in the European low-carbon transformation: Coal, nuclear, and renewables. In: Energiewende “Made in Germany”. Cham: Springer International Publishing, 241–282. Crossref.Moon HS, Song YH, Lee JW, et al. (2024) Implementation cost of net zero electricity system: Analysis based on Korean national target. Energy Policy 188: 114095. Crossref. Web of Science.Murphy C, Cole W, Bistline J, et al. (2023) Nuclear power’s future role in a decarbonized US electricity system (No. NREL/TP-6A20-84451). National Renewable Energy Laboratory (NREL), Golden, CO (United States).Nassar YF, El-Khozondar HJ, El-Osta W, et al. (2024) Carbon footprint and energy life cycle assessment of wind energy industry in Libya. Energy Conversion and Management 300: 117846. Crossref. Web of Science.Nian V, Hari MP (2017) Incentivizing the adoption of nuclear and renewable energy in Southeast Asia. Energy Procedia 105: 3683–3689. Crossref.Nicolau AS, Cabral Pinheiro VH, Schirru R, et al. (2023) Deep neural networks for estimation of temperature values for thermal ageing evaluation of nuclear power plant equipment. Progress in Nuclear Energy 156: 104542. Crossref. Web of Science.Nilsuwankosit S (2017) Report on feasibility study for radiation alarming data collection from containers at Laem Cha Bang International Sea Port, Thailand. Volume 4: Nuclear Safety, Security, Non-Proliferation and Cyber Security; Risk Management. American Society of Mechanical Engineers.Nkosi NP, Dikgang J (2021) South African attitudes about nuclear power: The case of the nuclear energy expansion. International Journal of Energy Economics and Policy 11(5): 138–146. Crossref.Nnabuife SG, Oko E, Kuang B, et al. (2023) The prospects of hydrogen in achieving net zero emissions by 2050: A critical review. Sustainable Chemistry for Climate Action 2: 100024. Crossref. Web of Science.Nuclear Energy Agency (NEA) (2015) Nuclear energy: Combating climate change. Available at: https://www.oecd-nea.org/jcms/pl_14914.Obekpa HO, Alola AA (2023) Asymmetric response of energy efficiency to research and development spending in renewables and nuclear energy usage in the United States. Progress in Nuclear Energy 156: 104522. Crossref. Web of Science.Orikpete OF, Ewim DRE (2024) Interplay of human factors and safety culture in nuclear safety for enhanced organisational and individual performance: A comprehensive review. Nuclear Engineering and Design 416: 112797. Crossref. Web of Science.Oxford Institute for Energy Studies (OIES) (2024) Nuclear energy in the global energy landscape: Advancing sustainability and ensuring energy security? Available at: https://www.oxfordenergy.org/wpcms/wp-content/uploads/2024/02/OEF-139-.pdf.Pan B, Adebayo TS, Ibrahim RL, et al. (2023) Does nuclear energy consumption mitigate carbon emissions in leading countries by nuclear power consumption? Evidence from quantile causality approach Energy & Environment 34(7): 2521–2543. Crossref. Web of Science.Pinho BE, Oliva JDJR, Maia Y L (2024) An approach for evaluation of the spent nuclear fuel management strategy for Brazilian nuclear power plants based on multi-criteria decision-making methodology. Nuclear Engineering and Design 424: 113186. Crossref. Web of Science.Pioro I, Duffey RB, Kirillov PL, et al. (2019) Current status and future developments in nuclear-power industry of the world. Journal of Nuclear Engineering and Radiation Science 5(2): 024001. Crossref.Poinssot C, Bourg S, Boullis B (2016) Improving the nuclear energy sustainability by decreasing its environmental footprint. Guidelines from life cycle assessment simulations. Progress in Nuclear Energy 92: 234–241. Crossref. Web of Science.Price J, Keppo I, Dodds PE (2023) The role of new nuclear power in the UK’s net-zero emissions energy system. Energy 262: 125450. Crossref. Web of Science.Ragosa G, Watson J, Grubb M (2024) The political economy of electricity system resource adequacy and renewable energy integration: A comparative study of Britain, Italy and California. Energy Research & Social Science 107: 103335. Crossref. PubMed. Web of Science.Raj AX (2023) Human reliability design—an approach for nuclear power plants in India. In: Risk, Reliability and Safety Engineering. Singapore: Springer Nature Singapore, 167–186.Ram Mohan MP, Namboodhiry SK (2020) An exploration of public risk perception and governmental engagement of nuclear energy in India. Journal of Public Affairs 20(3): e2086. Crossref. Web of Science.Rekik S (2024) Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach. Scientific African 26: e02438. Crossref. Web of Science.Rekik S, El Alimi S (2023a) Land suitability mapping for large-scale solar PV farms in Tunisia using GIS-based MCDM approach. In: 2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE), pp.1–5: IEEE.Rekik S, El Alimi S (2023b) Wind site selection using GIS and MCDM approach under fuzzy environment: A case of Tunisia. In: 2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE), pp.1–5: IEEE.Rekik S, El Alimi S (2024a) Prioritizing sustainable renewable energy systems in Tunisia: An integrated approach using hybrid multi-criteria decision analysis. Energy Exploration & Exploitation 42(3): 1047–1076. Crossref. Web of Science.Rekik S, El Alimi S (2024b) Unlocking renewable energy potential: A case study of solar and wind site selection in the Kasserine region, central-western Tunisia. Energy Science & Engineering 12(3): 771–792. Crossref. Web of Science.Rekik S, El Alimi S (2024c) A spatial perspective on renewable energy optimization: Case study of southern Tunisia using GIS and multicriteria decision making. Energy Exploration & Exploitation 42(1): 265–291. Crossref. Web of Science.Rekik S, El Alimi S (2024d) A GIS based MCDM modelling approach for evaluating large-scale solar PV installation in Tunisia. Energy Reports 11: 580–596. Crossref. Web of Science.Rekik S, El Alimi S (2024e) A spatial ranking of optimal sites for solar-driven green hydrogen production using GIS and multi-criteria decision-making approach: A case of Tunisia. Energy Exploration & Exploitation 42(6): 2150–2190. Crossref. Web of Science.Ren Y, Li G, Wang H, et al. (2024) China’s zero-coal power system future. International Journal of Electrical Power & Energy Systems 156: 109748. Crossref. Web of Science.Ruhnau O, Stiewe C, Muessel J, et al. (2023) Natural gas savings in Germany during the 2022 energy crisis. Nature Energy 8(6): 621–628. Crossref. Web of Science.Sadiq M, Shinwari R, Wen F, et al. (2023) Do globalization and nuclear energy intensify the environmental costs in top nuclear energy-consuming countries? Progress in Nuclear Energy 156: 104533. Crossref. Web of Science.Sadiq M, Wen F, Dagestani AA (2022) Environmental footprint impacts of nuclear energy consumption: The role of environmental technology and globalization in ten largest ecological footprint countries. Nuclear Engineering and Technology 54(10): 3672–3681. Crossref. Web of Science.Salam MA, Khan SA (2018) Transition towards sustainable energy production – A review of the progress for solar energy in Saudi Arabia. Energy Exploration & Exploitation 36(1): 3–27. Crossref. Web of Science.Sančanin B, Penjišević A (2023) Safe management of medical radiological waste. MEDIS - International Journal of Medical Sciences and Research 2(2): 7–13. Crossref.Temiz M, Dincer I (2021) Enhancement of a nuclear power plant with a renewable based multigenerational energy system. International Journal of Energy Research 45(8): 12396–12412. Crossref. Web of Science.Therme C (2023) French nuclear policy towards Iran: From the Shah to the Islamic Republic. Diplomacy & Statecraft 34(1): 117–139. Crossref. Web of Science.Utami I, Riski MA, Hartanto DR (2022) Nuclear power plants technology to realize net zero emission 2060. International Journal of Business Management and Technology 6(1): 158–162.Vujić J, Bergmann RM, Škoda R, et al. (2012) Small modular reactors: Simpler, safer, cheaper? Energy 45(1): 288–295. Crossref. Web of Science.Wagner F (2021) CO2 Emissions of nuclear power and renewable energies: A statistical analysis of European and global data. The European Physical Journal Plus 136(5): 62. Crossref. Web of Science.Wang Z, He Y, Duan Z, et al. (2023) Experimental study on transient flow characteristics in an equal-height-difference passive heat removal system for ocean nuclear power plants. International Journal of Heat and Mass Transfer 208: 124043. Crossref. Web of Science.Wheatley S, Sovacool B, Sornette D (2016) Of disasters and dragon kings: A statistical analysis of nuclear power incidents and accidents. Risk Analysis 37(1): 99–115. Crossref. PubMed. Web of Science.Wisnubroto DS, Sunaryo GR, Susilo YSB, et al. (2023) Indonesia’s experimental power reactor program (RDE). Nuclear Engineering and Design 404: 112201. Crossref. Web of Science.Yamagata H (2024) Public opinion on nuclear power plants in Japan, the United Kingdom, and the United States of America: A prescription for peculiar Japan. Energy Policy 185: 113939. Crossref. Web of Science.Yang X, Xue Y, Cai B (2024) Pathway planning of nuclear power development incorporating assessment of nuclear event risk. Journal of Modern Power Systems and Clean Energy 12(2): 500–513. Crossref. Web of Science.Zhan L, Bo Y, Lin T, et al. (2021) Development and outlook of advanced nuclear energy technology. Energy Strategy Reviews 34: 100630. Crossref. Web of Science.Zhang S, Liu J, Liu X (2022) Comparing the environmental impacts of nuclear and renewable energy in top 10 nuclear- generating countries: Evidence from STIRPAT model. Environmental Science and Pollution Research 30(11): 31791–31805. Crossref. Web of Science.Zheng S, Liu H, Guan W, et al. (2024) How do nuclear energy and stringent environmental policies contribute to achieving sustainable development targets? Nuclear Engineering and Technology 56(10): 3983–3992. Crossref. Web of Science.Zimmermann F, Keles D (2023) State or market: Investments in new nuclear power plants in France and their domestic and cross-border effects. Energy Policy 173: 113403. Crossref. Web of Science.