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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. References6abc Philadelphia. (2025, Juky 11). Electric vehicle tech: The rise of wireless charging roads. 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Mercedes-Benz looks to the future once again without forgetting its past. With the Vision Iconic, the German brand has unveiled a two-door electric coupé concept that combines retro elegance, cutting-edge technology, and a clear statement of intent about the direction of its future vehicle design. Inspired by the stylistic heritage of the 1930s and 1960s, this prototype aims to project a new era of automotive luxury—one that is more sustainable, intelligent, and emotional. A Tribute to the Past with a Vision for the Future Unveiled in 2025, the Mercedes-Benz Vision Iconic is a creation that fuses classic glamour with contemporary innovation. Its long, sleek silhouette evokes the brand’s legendary pre-war coupés—such as the Mercedes-Benz 500K (W29)—as well as the long and luxurious post-war models like the W108, W111, and 600 Pullman, but reinterpreted with modern proportions, an illuminated grille, and aerodynamic details typical of an electric vehicle. According to Mercedes, the model seeks to “pay tribute to design as an art form” and to connect the emotions of the past with the technology of the future. However, the vehicle is not a production car, but rather a design exercise and a statement of intent — a reflection of how the German manufacturer envisions luxury mobility and prepares for the years ahead. Exterior Design: Elegance with Purpose   Source: Mercedes-Benz The exterior of the Vision Iconic is filled with historical references, yet infused with innovation. Its flowing bodywork, elongated hood, iconic front grille, and partially covered rear wheels evoke the golden age of automotive design, while the ultra-thin three-pointed star-shaped LED headlights, illuminated grille, and solar paint covering the vehicle—capable of generating energy for auxiliary systems—firmly anchor it in the present. This new solar coating is a nanoparticle-based paint, extremely thin (5 micrometers) and lightweight (5 g/m²), and allows for 94% solar absorption, enabling it to generate additional energy for the vehicle with an efficiency of over 20% — even higher than the typical range of solar panels, which usually falls between 15% and 22%. The energy generated is stored in a high-voltage battery located in the lower section of the vehicle and could be translated into 7450 extra miles a year of range. In addition, the coating does not contain any rare earths or silicon and can be easily recycled. At the rear of the Vision Iconic, there is a clear inspiration from the Mercedes-Benz 300 SL, though with a modern reinterpretation in which a continuous light strip replaces traditional taillights, reinforcing the model’s electric identity. The brand describes the Vision Iconic’s design as a “rolling sculpture”, with pure lines that convey serenity and power at once. In the words of Gorden Wagener, Chief Design Officer of Mercedes-Benz Group AG: “The symbiosis of traditional craftsmanship, state-of-the-art technology, and an unmistakable design language makes it the ultimate expression of value, prestige, and elegance—the most beautiful, most prestigious kind of object there is.” A “Hyper-Analog” Interior   Source: Mercedes-Benz While the exterior evokes nostalgia, the interior of the Vision Iconic redefines the luxury experience. Mercedes calls its concept “hyper-analog” — a fusion between the tactile and the digital. It is also a clear tribute to the classic interiors of the past, with Art Deco-inspired elegance and opulence, adapted and refined for modern conditions. The cabin combines noble materials — such as blue velvet, straw marquetry, and polished aluminum — with advanced technology hidden beneath clean, seamless surfaces. The dashboard — perhaps the most distinctive element, shaped like a floating Zeppelin glass structure — features a minimalist digital interface while retaining high-precision physical controls, standing apart from the industry trend of eliminating buttons. When the doors open, the instrument cluster starts a cinematic analog animation inspired by high-end chronographs. At the center of the dash are four clocks, one of which is shaped like the brand logo and acts as an AI companion. This pillar-to-pillar display concept integrated technology elegantly into the interior, while its minimalist design and classic shared front bench seat create a sense of openness and refined comfort for both driver and passenger. In addition, the floating steering wheel and bench-style seats — which recall classic designs — along with the extensive use of glass and ambient lighting, create an atmosphere that blends sophistication with tranquility, designed more for enjoying the journey than for sporty driving. Technology and Sustainability at the Core Beyond its appearance, the Vision Iconic reflects the technological direction of Mercedes-Benz. The prototype is engineered to support Level 4 autonomous driving, meaning it could operate without human intervention in most situations. Its steer-by-wire control system removes the mechanical link between the steering wheel and the wheels, while the integration of Mercedes’ neuromorphic computing aims to deliver more efficient, adaptive AI. According to Mercedes, this approach could reduce automated-driving data-processing energy needs by up to 90%. Mercedes is also using this concept to explore new approaches to sustainability — from recyclable materials to the use of solar-based paints that supplement the vehicle’s electric energy supply. Every element, the company says, reflects a vision in which luxury and environmental responsibility are no longer at odds. The Strategy Behind the Concept The Vision Iconic is not a vehicle destined for production, but it will set the course for Mercedes-Benz’s design language and brand identity in the electric era. Following conceptual models like Vision EQXX and Vision One-Eleven, the company aims to position itself as the luxury brand that best balances tradition, innovation, and sustainability. For Mercedes designers, the key lies in preserving aesthetic heritage without losing technological relevance. The Vision Iconic embodies that duality — the beauty of the past reinterpreted with the tools of the future. A Market in Transformation The launch of this concept also reflects the fierce competition in the electric luxury segment. Rivals such as BMW, Audi, and Porsche are unveiling their own visions of high-end electric vehicles, while new players like Lucid and Polestar continue to push the boundaries of design and efficiency. With the Vision Iconic, Mercedes seeks to differentiate itself not by power or range alone, but by offering a sensory and emotional experience — something few brands manage to convey in the digital age of the automobile. Europe’s Role and the Road Ahead The development of the Vision Iconic also ties closely to Europe’s sustainability regulations, particularly new eco-design and recyclability standards set to take effect in the coming years. The concept anticipates how Mercedes plans to align luxury with environmental compliance, a crucial challenge for manufacturers operating in the European market. In the future, technologies showcased in this model — such as integrated AI systems, more efficient production methods, and eco-friendly materials — could be transferred to production vehicles. More than an aesthetic experiment, the Vision Iconic serves as a roadmap for the design of the next generation of Mercedes electric cars. Conclusion The Mercedes-Benz Vision Iconic is far more than a prototype — it is a statement of identity. It represents the ambition of a century-old brand to keep its legacy alive while embracing technological change. With its blend of nostalgia, innovation, and elegance, this coupé not only imagines the future of luxury automobiles, but also reaffirms why the name Mercedes-Benz remains synonymous with style and vision. Bibliography Dnistran, I. (2025, October 14). Mercedes-Benz Vision Iconic: An SL-Inspired Electric Coupe With A Retro Interior. Retrieved from Inside EVs: https://insideevs.com/news/775671/mercedes-iconic-vision-stunning-coupe-ev/Mercedes-Benz. (2025, October 15). Mercedes-Benz Vision Iconic: A masterpiece for a new iconic era. Retrieved from Mercedes-Benz: https://media.mbusa.com/releases/mercedes-benz-vision-iconic-a-masterpiece-for-a-new-iconic-eraMercedes-Benz. (2025). Vision Iconic. Retrieved from Mercedes-Benz: https://www.mercedes-benz.com/en/design/concept-cars/vision-iconic/Mr. Benz. (2025, October 15). NEW Mercedes Vision Iconic! The 2027 S-COUPE?! Exterior Walkaround 4K. Retrieved from YouTube: https://www.youtube.com/watch?v=1BT_F79qlIEYOUCAR. (2025, October 17). NEW Mercedes Vision Iconic - Official Reveal. Retrieved from YouTube: https://www.youtube.com/watch?v=cX3kHK1_RUQMoldrich, C. (2025, October 14). Mercedes-Benz Vision Iconic: Stuttgart’s Art Deco dream car channels the golden age of luxury. Retrieved from CAR: https://www.carmagazine.co.uk/car-news/first-official-pictures/mercedes-benz/iconic-vision/

Will sanctions create a more inward-looking generation, or will VPNs and parallel imports keep Russia’s youth plugged into global culture anyway? 2010s in Russia – The “Peak of Freedom” After the collapse of the Soviet Union, Russia underwent severe economic, political, and cultural changes. Previously blocked by the iron curtain, Russians suddenly found themselves exposed to Western influence. In the early 2000s’, Russia was culturally and economically thriving. Nowadays, it is hard to imagine controversial artists such as drag artists, t.A.T.u. and others performing on the national stage, when back then all of this was broadcast across the country. For citizens of border cities such as Saint Petersburg and Kaliningrad, this was a period of frequent travelling abroad. Trips to neighboring countries to buy products or visit relatives have become part of normal life. Russia seemed more democratic, integrated, and culturally alive. The 2010s’ marked the beginning of sanctions. Yet for most Russians, daily life hardly changed. Even after the annexation of Crimea in 2014, people continued to travel, buy “sanctioned” goods, and enjoy global events. Russia even hosted the FIFA World Cup in 2018, which was a moment of international recognition that contrasted with the West’s growing political distance. Сергей Ильницкий / EPA This changed drastically in 2022, when Moscow launched a full-scale invasion of Ukraine. This time, the sanctions were sweeping and deeply felt in everyday life. Major international companies announced their departure from the Russian market. According to Russian claims, U.S. companies lost more than $300 billion as a result, while the Financial Times reported that European firms lost over $100 billion in just 18 months. It has now been more than three years since major international brands officially “left” Russia. McDonald’s, Adidas, Zara, IKEA, and many others appeared to vanish from Russian market. On paper, they exited what many call a rogue state. In reality, most of them never truly left. Adaptation Under Sanctions By early 2023, Russia’s consumer market was full of “new-old” brands. While some companies left outright, the majority transferred stocks to local managers, often at discounts of up to 70%. As a result, there was a strange marketplace with familiar stores but unfamiliar names. At the same time, Ukrainian observers note a different reality. Forbes reported that many foreign revenue leaders in Russia, including Philip Morris, Pepsi, Mars, Nestlé, Leroy Merlin, and Raiffeisen Bank never left Russia at all. According to B4Ukraine, these companies together paid over $41.6 billion in taxes, equivalent to roughly one-third of Russia’s annual military budget. Back in 2023 Philip Morris International confirmed that it would “rather keep” its Russian holdings than sell them at a discount to local investors. For example, L’Occitane simply transliterated its name into Cyrillic, while Spanish corporation Inditex sold its stocks to Daher, and brands like ZARA, Pull&Bear, Bershka were replaced by alternative brands like Maag, Ecru, Dub. Thus, authentic ZARA’s clothing still can be easily found on internet marketplaces, such as Lamoda. Food and beverage: Starbucks transformed into Stars Coffee, McDonald’s into Vkusno i Tochka. Coca-Cola was sold to a Russian businessman and rebranded as Dobryi Cola. Yet, many shops still sell original Coca-Cola imported from neighboring countries such as Belarus, Kazakhstan, or Poland. Finnish company Fazer Group sold Khlebniy Dom (major bread and pastry company) to “Kolomenskyi” holding, keeping the same legal structure, representatives, and recipes. Consumer goods and toys: Lego returned as Mir Kubikov (“Cubic World”), offering identical products under a new name. German holding Henkel became Lab Industries, selling the same products under Cyrillic labels. Earlier this year Daher Group claimed that Adidas would reopen stores by November 2025, though details remain unclear. Nike, meanwhile, continues to operate in Russia under the abbreviation NSP — Nike Sport Point. For Russian youth, these “copycat” and alternative have a mixed reaction. On social media platforms like Telegram, Instagram and TikTok memes mocking the awkward logos and uninspired renamings were circulating. Young consumers still crave original products, especially iPhones, brand clothes and cosmetics, which are often purchased through parallel imports, friends, albeit at inflated prices. Polls confirm such trend. According to the Russian Public Opinion Research Center (RPORC), 94% of Russians believe that Western brands will eventually return, and 68% think it is only a matter of time. About 60% of the population continues to buy sanctioned goods; for 28%, it has become a habit. Two-thirds of respondents say they would prefer national brands only if the price were equal. This dual reality for young Russians means living in a consumer world that is both familiar and fractured. Economic Challenges Despite adaptation, Russia’s economic outlook remains mixed. Polling by RPORC suggests that while many Russians believe the economy is worsening, a growing number also describe it as “stabilizing.” As RPORC explained: “Businesses and people were able to adapt to new conditions. Not everyone succeeded, but economic catastrophe did not happen.” © Тимур Ханов/ПГ The Levada Center found similar resilience. Half of respondents said their lives had not changed in recent years, or that they had even found new opportunities. One in five, however, admitted to abandoning their old lifestyle or struggling to adapt. Two-thirds reported feeling confident about the future, most of them relying on wages and pensions, with fewer depending on savings or secondary income. Economic indicators, however, tell a more fragile story. The Consumer Sentiment Index fell to 110 points in August 2025, down from 117 in June. Assessments of current living conditions dropped sharply, while expectations for the future also declined. Businesses face ongoing challenges. According to the Bank of Russia’s September monitoring, companies reported weaker demand, especially in manufacturing, alongside persistent cost pressures from labor shortages and rising expenses. Inflation has moderated to 8.2% year-on-year, but expectations of higher prices remain. In response, the central bank cautiously lowered its interest rate from 18% to 17%. While this move was intended to encourage funding and investment, it came with warnings. High rates had already limited capital investment and strained both households and firms. For younger Russians, this translates into expensive loans, delayed purchases of homes or cars, and fewer stable jobs. Small firms are especially vulnerable, and larger companies hesitate to commit to long-term investment in Russia. The October 24 monetary policy meeting is expected to clarify whether further rate cuts will follow, but for now, the message remains one of “cautious easing amid a fragile economy.” For Russian youth entering the workforce, the environment is uncertain. Jobs in international firms are disappearing, wages struggle to keep pace with inflation, and credit is harder to access. Their career paths are increasingly shaped by state-owned companies or sanctioned industries rather than by global opportunities. Government Restrictions Sanctions are only half the story. Alongside them, the Russian government has tightened internal restrictions, from healthcare to social media, touching nearly every aspect of citizens’ lives. On September 1, 2025, a wave of new restrictions and laws came into force. In healthcare, paramedics and obstetric nurses were legally authorized to provide emergency care in the absence of doctors, while health and dietary supplements (“БАДы”) became subject to stricter regulation. Additionally, a new federal list of Strategically Significant Medicinal Products was introduced to encourage full domestic production of essential drugs. This move aims to reduce Russia’s dependence on imported medicine and support local firms. Beyond healthcare, other laws targeted digital life and education. Advertising VPNs was banned, along with advertising in prohibited apps. While internet users faced growing difficulties with messaging platforms, the government launched a new app called Max, a Russian equivalent of China’s WeChat, while simultaneously restricting access to competitors such as Telegram, WhatsApp, and Viber. Although text communication remains possible, audio and video calls are increasingly blocked. According to the Levada Center, 71% of Russians recently reported problems accessing the internet on mobile phones, and 63% experienced issues with messaging apps. Public opinion is split: 49% support Roskomnadzor’s decision to block voice calls on WhatsApp and Telegram, while 41% oppose it. Support varies by age and education level: younger people and the highly educated are far more likely to oppose restrictions, disapprove of Putin’s presidency, and favor a ceasefire in Ukraine. Education has also come under tighter state control. New quotas for universities, stricter graduation requirements, and the exit from the Bologna education system are expected to make it harder to pursue higher education abroad. For Russian youth, this means growing up in a system where schools and universities serve not only as centers of learning but also as instruments of political loyalty. Closing Reflection Older generations of Russians remember both the Iron Curtain and the sudden openness of the 2000s. Today’s youth, Gen Z and Gen Alpha, are growing up in a very different environment. Born into a Russia that once promised travel, global brands, and open media, they now face a country of copycat stores, patriotic lessons, and state-controlled apps. Their world is paradoxical: connected through VPNs, Telegram, and imported iPhones, yet isolated by censorship, propaganda, and restricted travel. They can mock “Vkusno i Tochka” on Telegram but cannot easily study abroad or see global TikTok trends without additional tools. This contradiction defines Russian youth today. They adapt quickly to new changes and even mock fake brands, find ways around bans, and stay tuned to global culture. But they are also growing up in a system that narrows horizons, imposes loyalty, and tries to shape them into a generation of compliance. Thus, the question remains. Will sanctions and state policies succeed in creating a more conservative, obedient generation? Or will Russian youth continue to find creative ways to remain connected to the wider world? Their choices will shape not only the future of Russian consumer culture, but the political and cultural direction of the country itself. References https://www.vedomosti.ru/business/articles/2025/02/18/1092830-amerikanskii-biznes-poteryal https://b4ukraine.org/what-we-do/corporate-enablers-of-russias-war-report https://www.ft.com/content/656714b0-2e93-467b-92d6-a2d834bc0e2b

SummaryApple and Samsung remain the dominant forces in the European smartphone market, but Chinese brands are moving up the ranks and capturing market share - especially in the mid-range and premium segments. Trade measures and new EU regulations (eco-design) as well as regional economic weaknesses will influence demand and pricing in 2025.  Source:  https://gs.statcounter.com/vendor-market-share/mobile/europe? A look at Apple in Europe Apple holds a unique position in Europe, as it focuses less on pure delivery volume and more on anchoring itself in the premium segment. About one in three active smartphones in Europe is an iPhone [1], a number that matters more than quarterly shipment fluctuations. Even as shipments in Europe fell by nine percent in mid-2025, Apple's large installed base and trade-in programs helped maintain momentum [2]. Germany is a telling case in point. Apple's market share here is just over thirty percent, due to a mix of price-sensitive Android buyers and a strong premium niche who opt for iPhones due to the stability of the ecosystem, resale value, and perceived better privacy [3]. Penetration is higher in the more affluent northern and western markets, from the Nordics to the UK, underlining why Apple's marketing and retail strategy is heavily focused on these regions. Loyalty binds these markets together: almost nine out of ten iPhone users stay with the brand when they upgrade [4]. Combined with the high resale value, this reinforces the benefits of ownership. The iPhone 17 offers subtle but strategic updates - more base storage, improved cameras, and a slimmer 'Air' edition - aimed at retaining existing users rather than shaking up the market [5]. Behind the scenes, Apple is also quietly shifting supply chains and expanding iPhone assembly in India to be less vulnerable to tariff shocks and geopolitical risks [6]. For Europe, this means more stable pricing in the medium term, even as the EU tightens its regulations on eco-design and repairability. In short, Apple's strength in Europe comes not from chasing every segment, but from cultivating a premium base that rarely deviates. This base is both its shield and its springboard as competitors aggressively push into the mid-range and even the premium segment.  Source: Shutterstock/Elvard project -  BSD City, Indonesia, August 21, 2025 Back of an orange iPhone 17 Pro and an orange Samsung S22 Ultra A look at Samsung in Europe Samsung continues to be a consistent powerhouse in the European smartphone market. Unlike Apple, which is firmly anchored in the premium segment, Samsung's influence extends across all segments. From the high-end Galaxy S/Ultra series to the growing range of foldable devices and the hugely popular mid-range Galaxy A devices, Samsung ensures that there is a flagship-quality option in every price segment. This range is one of the reasons why the company consistently is the largest smartphone supplier in Europe by volume, claiming around 36% of the European market in the second quarter of 2025 [2]. The Galaxy A series, which includes models such as the A16 5G and the A56, has played a special role in this. These mid-range devices offer a good balance of performance, camera quality, and affordability, making them particularly appealing to price-sensitive consumers. The A56 alone recorded a 12% increase in sales compared to its predecessor, despite a slight decline in Western European smartphone sales overall [7]. Samsung's appeal goes beyond hardware. Through close partnerships with carriers and retail chains, the company has a reach that few rivals can match, enabling promotions, bundles and financing offers that appeal to buyers from all demographics. Android's flexibility is another draw - customers who value customization, connectivity with non-Apple devices or advanced camera and display features often choose Samsung. Samsung's multi-tiered approach gives the company versatility and resilience. While Apple focuses on customer loyalty and premium margins, Samsung covers both the high-end and mid-range segments. Foldables and advanced mid-range devices are particularly popular in the tech-savvy cities of Europe, where buyers like to experiment with features and form factors. In short, Samsung's European approach is broad rather than exclusive - covering premium aspirations, mainstream demand, and everything in between. This ensures that the brand has a strong presence across all consumer segments, from students seeking reliable mid-range phones to professionals looking for innovative flagships. Other brands in Europe While Apple and Samsung dominate the European smartphone landscape, other brands are quietly reshaping the market. Chinese manufacturers, including Xiaomi, HONOR, realme, OPPO and OnePlus, have been steadily gaining ground, especially in the mid-range segment where value for money is most important. Some of these brands are even making inroads into the premium segment, experimenting with foldable devices and advanced camera features, trying to establish themselves as credible alternatives to the established giants. Their approach is a balanced mix of aggressive pricing to attract first-time buyers and selective launches at the high end to build prestige and brand awareness [8][1]. In the meantime, smaller vendors continue to carve out their niches. Google's Pixel phones, for example, appeal to consumers who value a clean Android experience, consistent software updates, and high-quality cameras. Motorola and Sony have a smaller but loyal following, often among buyers who value reliable hardware at a fair price. In Eastern Europe and emerging markets, brands such as Transsion have started to offer very affordable devices tailored to specific regional needs, further increasing consumer choice. These players are making the European smartphone market increasingly dynamic, offering consumers more choice - from advanced cameras to flexible Android software and competitive pricing. While Apple and Samsung continue to dominate the premium and mass market segments, other brands are steadily changing the perception of what a European smartphone can offer.  Source: Shutterstock/ICXd Thailand,Bangkok - August 27, Collection of popular mobile phone logo apple, huawei, samsung, nokia, realme, oneplus, lenovo, lava, sony, LG, Xiaomi, Motorola,oppo, vivo, ZTE Global problems with tariffs on smartphones The smartphone world is not just about innovation, but also about politics. In 2024-25, tariffs on Chinese goods made headlines. The US threatened to impose high tariffs on electronics, which could have driven up the prices of smartphones and laptops. Industry lobbying softened the blow: key categories such as smartphones were exempted from the strictest reciprocal tariffs, which could have mitigated a massive price shock, although uncertainty in global supply chains remains a major problem [9][10]. Europe, on the other hand, has avoided blunt tariffs on smartphones. Instead, manufacturers are navigating regulatory changes - eco-design requirements, repair standards, and trade barriers - that subtly increase costs. The result is less dramatic headlines, but no less tension for OEMs who are closely watching trade measures between the U.S. and China as they affect sourcing and assembly globally. Companies like Apple and Samsung are hedging against this uncertainty by diversifying their production. Apple has ramped up iPhone assembly in India, while other brands are spreading their production to Vietnam, Malaysia, and other countries. Impending tariffs and changing regulations may affect lead times and profit margins, even if European consumers are not yet feeling the direct impact [10]. Slower economic growth makes mid-price alternatives and competitive Chinese brands more attractive. Flagship smartphones, which often cost more than €1,500, raise the question of whether ultra-premium devices still fit into everyday life in times of rising living costs. Consumer preferences in Europe European smartphone buyers are not a monolith. Broadly speaking, the market is split into two camps. Premium buyers value ecosystem integration, software updates and build quality and opt for Apple and Samsung. Value-conscious buyers focus on value for money and are increasingly opting for brands such as Xiaomi, realme and HONOR. Financing options, carrier subsidies and trade-in programs often influence when and how customers upgrade [11]. Trust and perception also play a role - especially in Germany. Privacy concerns and political sentiment towards China weigh heavily. German consumers, both individuals and businesses, are wary of Chinese-made devices in sensitive areas, giving Apple and Samsung an advantage when it comes to security and brand awareness [12].  Source: Shutterstock/Anatoliy Cherkas Customer comparing various mobile phones in a tech store, selecting the ideal device tailored to her unique needs and preferences The upgrade rhythms differ depending on the ecosystem. iPhone owners show strong loyalty, while Android buyers - especially in mid-range segments - switch brands more frequently due to better features or price. This behavior explains the rapid growth of Chinese OEMs and mid-range models and illustrates how ecosystem and satisfaction lead to repeat purchases [13]. In short, European consumers weigh price, performance, ecosystem, and trust - factors that vary depending on whether the buyer is a premium enthusiast or a value seeker. This nuanced behavior influences how brands position devices, launch models and plan for long-term growth on the continent. iPhone 17 vs Galaxy S25 — Tech Comparison   Source: Shutterstock/Sashkin Modern lens of smartphone double camera structure. New features for a smartphone camera concept. 3d illustration Observations: Where Each Excels & Trade-Offs • Cameras: Samsung (especially Ultra) wins on sheer versatility (more lenses, higher MP, better telephoto) and possibly low-light/detail thanks to sensor size and AI noise reduction. iPhone 17 shines in video consistency, processing, and front-facing “Center Stage” improvements. • Display & Brightness: Both are strong; iPhone probably edges ahead in outdoor brightness/visibility with peak luminance claims; Samsung wins in display size options (Ultra, plus), scaling, and maybe smoother animations thanks to their hardware + adaptive refresh tech. • Battery & Charging: Samsung has larger batteries in its high-end models; iPhone balances good battery with durability and efficient hardware. Charging speeds might favor Samsung in some markets, but Apple now supports faster wired/wireless + MagSafe maintained. • Hardware / Performance: Samsung’s chipset leap shows up in raw power + AI task support. Apple’s A19 is very efficient, tightly integrated, often delivering real performance with lower power draw. Apple also tends to offer longer software support. • AI & OS: Samsung pushes more aggressively into “AI companion” territory, making more tasks on-device that used to require cloud. iPhone focuses on privacy, on-device intelligence, camera/AI tools, and a more closed ecosystem. Preference depends on how much a user values customization versus privacy and integration.What about European brands? In Europe, there are no longer many smartphone manufacturers that cover the entire spectrum. Most local activities focus on software, components, or niche manufacturers such as Fairphone, which emphasize sustainability, modular design and repairability. These brands appeal to consumers for whom ethics and environmental responsibility are more important than innovative technical specifications. Even large corporations such as VW and BMW are only tentatively dabbling in this area and have yet to launch devices for the mass market. The reality is that global giants such as Apple, Samsung and increasingly aggressive Chinese OEMs dominate the European smartphone market, while domestic brands occupy specialized niches [14]. Market outlook In the short term - i.e., over the next 12 months - smartphone shipments in Europe could stagnate or decline due to economic restraint, the rising cost of living and stricter EU eco-design regulations. The premium segment remains resilient: Apple, high-end Samsung models and top Chinese devices continue to appeal to buyers seeking quality, design, and ecosystem benefits. Chinese brands are steadily gaining traction in the mid-price segment, especially in markets that are less sensitive to country-of-origin concerns [2]. Looking ahead to the next 24 months, several forces will change the landscape. Supply chains will diversify, with more assembly in India and Southeast Asia reducing dependence on China. Competition will intensify with AI features, voice assistants, and foldable devices as brands differentiate beyond hardware. Regulatory pressure on repairability, durability and sustainability could increase prices or shift the perception of value towards software and services. Apple's service ecosystem could gain traction, while Samsung's breadth and Chinese OEMs' aggressive pricing ensure a dynamic market for European consumers [15].  Source: Shutterstock/Sayan Puangkham Timeline to 2026 – Business Growth and Future Strategy, A futuristic business timeline concept moving from 2020 to 2026. A hand points toward the glowing year 2026. Sources:[1] StatCounter, Mobile Vendor Market Share Europe, Aug 2025 https://gs.statcounter.com/vendor-market-share/mobile/europe [2] Canalys, Europe smartphone shipments Q2 2025 https://canalys.com/newsroom/europe-smartphone-market-q2-2025 [3] StatCounter, iOS share Germany 2025https://gs.statcounter.com/os-market-share/mobile/germany [4] CIRP, iPhone loyalty and resale value 2024–25https://appleworld.today/2025/08/cirp-apple-loyalty-depends-on-carrier-loyalty/ [5] TechRadar/Macworld, iPhone 17 launch coverage, Sept 2025https://www.techradar.com/news/new-apple-event [6] Reuters, Apple expands India assembly, 2025 https://www.reuters.com/world/china/apple-aims-source-all-us-iphones-india-pivot-away-china-ft-reports-2025-04-25[7] SamMobile, Samsung mid-range phones success in Europe, https://www.sammobile.com/news/guess-which-samsung-mid-range-phone-is-a-massive-hit-in-europe/8] Financial Times, Chinese smartphone brands target Europe with mid-range and premium launches, 2025, https://www.ft.com/content/a982abf2-9564-4a8c-b8df-9e614ecd2151[9] Reuters, U.S. exempts key electronics from severe tariffs after industry lobbying, 2025, https://www.reuters.com/technology/us-exempts-electronics-tariffs-2025-06-15 [10] Avalara, Global tariff landscape and smartphone supply chain impact, 2025, https://www.avalara.com/blog/en/2025/05/global-tariff-impact-smartphones.html[11] Financial Times, European consumers split between premium and value smartphones, 2025, https://www.ft.com/content/consumer-smartphone-trends-europe-2025 [12] Emerald Insight, Country of origin and consumer electronics perception in Europe, 2024, https://www.emerald.com/insight/content/doi/10.1108/XXXXX/full/html [13] Backlinko, iOS vs Android loyalty in European smartphone users, 2025, https://backlinko.com/ios-android-loyalty[14] Patently Apple, European smartphone brands and market presence, 2025, https://www.patentlyapple.com/patently-apple/2025/02/european-smartphone-brands.html [15] Reuters, Smartphone industry outlook: supply chains, AI, and regulatory pressure, 2025, https://www.reuters.com/technology/smartphone-outlook-2025

I. Introduction Russia invaded Ukraine in February 2022. As the Russian invasion of Ukraine enters its fourth year, its most immediate and visible consequences have been loss of life and large numbers of refugees from Ukraine. However, given the interconnected structure of the international political, economic, and policy systems, the ramifications of the Ukraine conflict can be felt well beyond Ukraine and Russia. Much of the recent literature and commentaries have focused on the military and strategic lessons learned from the on-going Ukraine conflict (Biddle 2022; 2023; Dijkstra et al. 2023). However, there are not many quality analyses of economic effects of the Ukraine war on Eastern European countries, including Russia and Ukraine. This paper focuses on the economic effects of the Ukraine war on nine Eastern European countries, including Russia and Ukraine. This is because although Eastern European countries are neighbors of Russia and Ukraine and have had significant negative economic outcomes from the Ukraine war, these countries were mainly ignored by researchers. II. The Economic Effects of the Ukraine war The impacts of war are far-reaching and devastating. War causes immense destruction of property and loss of life. It also creates psychological trauma for those who have experienced it firsthand. War can also have long-term economic impacts, such as higher unemployment and increased poverty. War can also lead to the displacement of people, as we have seen the millions of refugees who had been forced to flee their homes due to conflicts. War can also have political effects, such as creating new states or weakening existing nations. It can also lead to the rise of authoritarian regimes in many post-war nations. War can also lead to increased militarization as nations seek to protect themselves from future conflicts. The Ukraine war might have broader economic consequences. The supply chains may be affected because of the destruction of infrastructures and resources. War mobilization may affect the workforce and economic production. Actors in the economy may also act strategically to deploy resources elsewhere or to support the war effort because the war has affected incentive structures of workers and business. These effects can be local to geographical areas engulfed in conflict but also cause ripple effects to a wider regional area and to the global economy. Trade, production, consumption, inflation, growth and employment patterns may all be influenced. Peterson .K. Ozili.(2022) claimed that the scale of the Ukraine war had its negative impact on the economies of almost all countries around the world. According to Ozili, the main effects of the Ukraine war on the global economy are several, but this paper focuses on two below: Rising Oil Gas Prices  and inflation – European countries import a quarter of their oil and 40% of their natural gas from the Russian Federation. The Russian Federation is the second largest oil producer in the world and the largest supplier of natural gas to Europe, and after the invasion, European oil companies will have problems getting these resources from the Russian Federation. Even before the Russian invasion, oil prices were rising because of growing tensions between countries, the COVID-19 pandemic, and other factors, but remained in the $80–95 per barrel range. After the invasion, this price reached the value of $100. Natural gas prices rose 20% since the war began. Rising gas & oil prices can drive high inflation and increase public utility bills. Decline in production and economic growth. Rising oil and gas prices lead to high inflation and, therefore, a decline in consumption, supply and demand, thereby causing decline in growth and production. This paper focuses on inflation and GDP growth of nine Eastern European countries regarding the economic effects of the Ukraine war. Ozili (2022) claimed that very high inflation was a perceived negative consequence of the Russian invasion of Ukraine. As Figure 1 shows, inflation in the EU jumped in the first month of the invasion, and the increasing trend continues. EU inflation in 2022 peaked in October and amounted to 11.5% that was a historical record. However, inflation has slowly declined as energy prices have gone down. This higher inflation in Europe basically resulted from energy price increase. As Figures 2, 3, and 4 show, energy prices in Europe skyrocketed in 2022. As Figure 2 shows, energy prices have been the most important component of high inflation in the EU.  Figure 1: Average inflation rate in the EU (%). Source: EurostatCreated with Datawrapper     Figure 2: Main components of inflation rate in the Euro areas.  Figure 3: Natural gas prices in Europe, January 2021- end 2024  Figure 4: Crude oil price, January 2020-January 2025 Source: Eurostat Created with Datawrapper Inflation skyrocketed not only in the EU member countries, including Eastern European countries, but also in Russia and Ukraine.  Figure 5: Inflation rate in Russia, 2021-2025 As Figure 5 shows, inflation rate in Russia averaged 8.16 % from 2003 until 2025, but it reached an all time high of 20.37 % in April of 2022 just after the Russian invasion of Ukraine. In 2022, Russia experienced high inflation, with the average annual rate reaching approximately 13.75%. This surge in inflation was largely attributed to the economic impact of Western sanctions and increased government spending related to the war in Ukraine. From end of 2022 and throughout 2023, however, inflation was brought under control, but in 2024 inflation started to climb again. The inflation rate in Russia has been moderately high in 2024 and 2025, reaching to 9.5% in 2024 and 9.9% in May 2025 and 9.4% in June 2025.   Figure 6: Inflation rate in Ukraine, 2021-2025 The Ukrainian economy has undergone harsh conditions with the onset of Russia’s full-scale invasion of Ukraine in 2022. Following the start of the invasion, inflation skyrocketed to 26.6% in October 2022 from 10.0% in 2021. Inflation in Ukraine started to slow down from the end of 2022 throughout 2023, reaching 5.1% in November 2023. However, inflation began to rise from early 2024 and then grew to 12% in December 2024. As Figure 5 & 6 shows, inflation rates in Russia and Ukraine do not follow the pattern of EU countries in which inflation skyrocketed in 2022 and then has slowly declined over time. Rather inflation in Russia and Ukraine skyrocketed in 2022 and then slowed down in 2023 and started to climb again in 2024 and 2025. As Figure 7 shows, inflation in Eastern European countries has been also very high just after Russia invaded Ukraine. Hungary’s annual inflation rate surged in 2022, reaching a peak of 26.2 % in January 2023. By mid-2023, it began to decline, and by 2024, it showed a gradual decline trend, reaching 3.7 % in 2024. And inflation in Hungary slightly increased in 2025, reaching 4.6% in June 2025 and 4.4% in May 2025.  The Czech Republic(Czechia) experienced a significant surge in inflation in 2022, with the average inflation rate reaching 15.1%. This marked the second-highest inflation rate since the Czech Republic’s independence in 1993.  Two factors mainly contributed to this surge: High energy prices:The global energy crisis, exacerbated by the war in Ukraine, significantly impacted energy prices in the Czech Republic.  Increased food prices: The rising energy costs also led to higher food prices, with some sectors experiencing inflation rates as high as 26%.  The inflation rate in the Czech Republic in 2023 was relatively high, reaching 10.7%. However, inflation significantly declined in 2024 and 2025. The average annual inflation rate in the Czech Republic for 2024 was 2.4%. The inflation rate in 2025 was also low, recording 2.7% in July 2025. Poland also experienced a significant increase in inflation in 2022, with the average inflation rate reaching 14.2%. The inflation was down to 11.47% in 2023, but it was still high. The rate continued to fall, reaching 3.72% in 2024. In July 2025, inflation dropped to 3.1%. Similarly, Bulgaria experienced a significant surge in inflation in 2022, reaching a peak of 18.7 % in September 2022. However, Bulgaria’s annual inflation rate continued to decline from 13.02% in 2022 to 8.6% in 2023 and 2.6% in 2024. The inflation in June 2025 was 3.1%.  Romania experienced a significant surge in inflation in 2022, reaching a peak of 14.6 in November 2022. However, the annual inflation rate in Romania declined from 13.8% in 2022, recording 10.4% in 2023 and 5.58% in 2024. The inflation rate reached a more moderate rate of 5.8% in June 2025.  Slovakia experienced a significant surge in inflation in 2022, reaching a peak of 15.4 % in November 2022. However, the annual inflation rate in Slovakia declined to 10.96% in 2023, and 3.15% in 2024. The inflation rate in Slovakia reached a more moderate rate of 4.3% in June 2025.  Slovenia had much lower inflation rate than other Eastern European countries. The annual inflation rate in Slovenia was 8.83% in 2022, 7.45% in 2023, and 1.97% in 2024. The inflation rate in Slovenia reached a relatively low rate of 2.2% in June 2025.  Unlike Russia and Ukraine, these Eastern European countries followed the pattern of EU countries in which inflation skyrocketed in 2022 and then has slowly declined over time.   Figure 7: Inflation rate in Eastern Europe during the Ukraine war Very high inflation in Europe during the early stage of Ukraine war basically resulted from energy price increase as Figures 2, 3, and 4 show. It is because European countries were heavily dependent on Russian energy. Figure 8 shows that a number of Eastern European countries were significantly dependent on Russian energy in 2020 before the Ukraine war. For example, Slovakia and Hungary depended on Russia for more than 50 % of their energy use. Moreover, Europe was the largest importer of natural gas in the world. Russia provided roughly 40% and 25% of EU’s imported gas and oil before the Russian invasion of Ukraine. As Figure 9 shows, major gas importers from Russia in 2021 were European countries.  Figure 8: EU member country’s dependence on Russia energy  Figure 9: Major EU importers from Russian Gas in 2021. However, since the Russian invasion of Ukraine in 2022, more than 9,119 new economic sanctions have been imposed on Russia, making it the most sanctioned country in the world. At least 46 countries or territories, including all 27 EU nations, have imposed sanctions on Russia. EU trade with Russia has been strongly affected by the sanctions, resulting in a 58% decline in exports to Russia and an 86% drop in imports from Russia between the first quarter of 2022 and the third quarter of 2024. In the response, as Figure 10 shows, Russia cut its gas exports to the EU by around 80% since the Russian invasion, resulting in higher gas price in Europe.  Figure 10: Monthly Russia-EU pipeline gas flows, 2022-2025 Nonetheless, Figure 11 show that Hungary, Slovakia, and Czech Republic have been major  importers of Russian gas and oil after Russia’s invasion of Ukraine, while Figure 12 shows that Hungary, Bulgaria, Slovenia, Slovakia, and Czech Republic have been major importers and consumers of Russian gas after the Ukraine war. Figure 11: Largest importers of Russian fossil fuels (January 1, 2023 to February 16, 2025)  Figure 12: Selected European countries’ imports of Russian natural gas as shares of total consumption. As energy prices in Europe skyrocketed, inflation, including food price also skyrocketed in Europe. As a result, consumption in Europe was down and GDP growth declined in Europe after the Russian invasion of Ukraine. As Ozili claimed, lower growth rate was also a perceived negative consequence of the Russian invasion of Ukraine. As Figure 13 shows, GDP in EU was down to 3.5 % in 2022 compared to 6.3% in 2021, and it was further down to 0.8 % in 2023 because of economic stagnation and high inflation caused by the Ukraine war.  Figure 13: Average annual GDP growth rate in EU, 1996-2025. Like EU countries, Russia, Ukraine and some Eastern European countries experienced negative growth rates in 2022 & 2023 after Russia’s invasion of Ukraine in February 2022. Russia’s economy has undergone significant transformation since its full-scale invasion of Ukraine in February 2022. As Figure 14 shows, Russia GDP growth rate for 2022 was -2.07%, a 7.68% decline from 2021. This decline in GDP was due to international sanctions, the withdrawal of foreign companies and overall economic uncertainty. However, the impact was largely offset by a favourable terms-of-trade from higher commodity prices and support from third countries – especially China, Turkey, the UAE and countries bordering Russia – which have served as conduits for sanctions evasion.  Figure 14: Russia GDP Growth Rate By 2023, the Russian economy had increasingly shifted to a war footing. As Figure 15 shows, military spending significantly increased after the Russian invasion of Ukraine. Surge in government spending such as military spending, counter-sanctions measures and credit growth boosted investment, construction and overall economic activity in Russia. The military-industrial sector benefitted the most, as did private consumption driven by war-related payments and high real wage growth resulting from the tight labor market. Meanwhile, sectors reliant on Western markets or foreign companies continued to struggle. As a result, Russia’s GDP grew by 3.6 percent in 2023 and 4.3 percent in 2024. Economic expansion resulted from rising government expenditure and investment in its military as it continues its war against Ukraine.  Figure 15: Russia military spending By the end of 2024 and in early 2025, however, signs of economic stagnation had become evident. Even the military-industrial sector began to stagnate. The economy had butted up against its supply-side constraints. In the first quarter of 2025, annual growth slowed to an estimated 1.4 % (from 4.5 % in the last quarter of 2024. Economic contraction was driven by falling activity in trade, mining, real estate and leisure, which growth in agriculture, manufacturing and public administration were not able to offset.  Figure 16: Ukraine GDP growth rate Russian invasion of Ukraine in February 2022 significantly affected Ukraine economy. As Figure 16 shows, Ukraine’s GDP growth rate for 2022 was -28.76%, a 32.08% decline from 2021. GDP growth rate in Ukraine averaged 1.33% from 2000 until 2025, reaching a record low of -36.60 % in the second quarter of 2022. Ukraine’s economy started to bounce back in 2023 and the GDP growth rate in Ukraine for 2023 was 5.32 %, a 34.08 increase in 2022. GDP growth rate reached an all time high of 19.30% in the second quarter of 2023. The GDP growth for 2024 was down to 2.9%. In the first quarter of 2025, Ukraine’s GDP grew 0.9%. However, the Ukrainian economy has been propped up by financial support from Western countries, including military and humanitarian aid, as well as loans from frozen Russian assets. Financing from abroad has been essential in sustaining Ukraine’s ability to survive. Ukraine’s 2024 public sector deficit rose to a record 1.832 trillion hryvnia, or almost 24 % of GDP. Over 60 % of spending went to defense and domestic security. Ukraine’s foreign partner countries provided approximately $42 billion in direct budget support in 2024, of which a large chunk ($17.5 billion) was provided via the EU’s Ukraine Facility. In 2025, Ukraine’s financing situation looks brighter compared to the beginning of 2024, when the EU’s 50-billion-euro Ukraine Facility and America’s over-60-million-dollar Ukraine aid package were blocked due to legislative intransigence. The structure of 2025 deficit financing in Ukraine represents a big change from 2024 as a substantial part of the deficit will be covered out of the yield on Russia’s frozen assets. Last summer, G-7 leaders agreed on an Extraordinary Revenue Acceleration (ERA) arrangement allowing for the use of 183 billion Euro of frozen Russian assets (end-2024) in the EU area to help Ukraine. The ERA program does not draw on the Russian assets directly but uses its proceeds to finance payments and costs of a $50 billion loan. As Figure 17 shows, ERA disbursements allocated to Ukraine will come to nearly $22 billion in 2025 and $11 billion in 2026. The new Trump administration has yet to withdraw from the ERA program, even if substantial cuts have already been made in e.g. USAID financing to Ukraine. The US remains the ERA program’s largest supporter, accounting for a total disbursement commitment of $20 billion. Figure 17: ERA program for Ukraine from Western countries, 2023-2026 Moreover, according to the Ukraine Support Tracker from Kiel University, Ukraine has received 267 billion euros in aid over the past three years. Half of this has been in weapons and military assistance, with 118 billion euros in financial support and 19 billion euros for humanitarian aid. European countries contributed more than the US: 62 billion euros in arms and 70 billion euros in other aid from Europe, compared with 64 billion euros in arms and 50 billion euros in other aid from the US. On the other hand, the Ukraine war caused a massive refugee crisis to Eastern European countries. The Ukraine war made millions of Ukraine people cross the border into neighboring countries in Eastern countries, affecting the economy of each nation. Table 1 shows the number of Ukraine refugees settled in Europe. Most of the Ukraine refugees settled in Poland and the Czech Republic, followed by Romania, Slovakia, and Moldova. These Ukraine refugees had significant impacts on Eastern European economy, in particular on Poland and Czech Republic. Table 1: Number of refugees from Ukraine settled in EuropeSource: UNHCR Operational Data The Ukraine war affected Poland’s economy in several ways, creating both difficulties and opportunities. First, there were problems with energy supplies that could threaten Poland’s access to power. The conflict in Ukraine has shaken up Poland’s energy market quite a bit, affecting its gas and oil supplies and leading to a spike in prices. Right after the conflict began, gasoline prices in Poland jumped by more than 40% as Figure 18 shows. This is mainly because Poland used to get a lot of its energy from Russia, and now, because of the Ukraine war and the sanctions that followed, there’s been a big disruption. As Figure 19 shows, food prices also skyrocketed just after the Ukraine war.  Figure 18: Gasoline price in Poland Figure 19: Food inflation in Poland Food inflation in Poland averaged 4.11 % from 1999 until 2025, reaching an all time high of 24.00 % in February of 2023. Moreover, there has been the arrival of more than 1 million Ukraine refugees, which put pressure on jobs and public services in Poland. The Polish government has had to increase its public spending significantly to provide housing, healthcare, and social services for the newcomers. This sudden increase in spending seemed overwhelming at first, but it also brought potential economic benefits in the long run. For example, the influx of Ukraine refugees boosted demand for local goods and services, which in turn stimulated the Polish economy. Despite both difficulties and opportunities that the Ukraine war brought to Poland, Poland’s GDP growth rate in 2022 was 5.3%. This indicates a strong economic performance, although it was slightly lower than the 6.9% growth rate in 2021. However, Poland's GDP growth rate in 2023 was down to 0.2%. This signifies a significant slowdown compared to the 5.3% growth in 2022. The slowdown was attributed to factors like energy inflation-induced decline in household spending and stagnant consumption. Poland’s real GDP grew by 2.9% in 2024, exceeding initial expectations, which were set at 2.8%. As inflation was down, it allowed for consumer spending and contributed to economic expansion. The Polish economy continues to grow by 3.2% in the first quarter of 2025. Figure 20: annual GDP growth rate in Poland, 2016-2024 The Czech economy has experienced significant impacts from the Ukraine war due to supply chain disruptions and rising energy & food prices. As Figure 21 and 22 show, gasoline and food prices in Czech Republic skyrocketed just after the Russian invasion of Ukraine. Gasoline prices in Czech Republic skyrocketed in June 2022 at 2.05 USD/Liter from 1.12 USD/Liter in May2020. Gasoline prices in Czech Republic averaged 1.48 USD/Liter from 1995 until 2025, reaching a high of 2.05 USD/Liter in June of 2022 and a record low of 0.72 USD/Liter in December of 1998. Figure 21: Gasoline price in the Czech Republic  Figure 22: Food inflation in the Czech Republic As a result, after a solid recovery from Covid-19 pandemic in 2021 with 4.0% growth rate, economic activity slowed down in 2022-2023 as a result of the consequences of the war in Ukraine, including EU sanctions on Russia and rising energy & food prices. Nonetheless, the Czech achieved a moderate growth in 2022 with a growth rate of 2.8% but the Czech economy contracted by -0.1% in 2023 and has been weak with a growth rate of 1.1% in 2024 and 0.7 % in the first quarter of 2025. Figure 23: annual GDP growth rate in Czech Republic, 2016-2024 Hungary’s economy has faced significant challenges due to the war in Ukraine, including increased energy costs, inflation, and disruptions to trade and supply chains. Hungary economy grew by 4.6 % in 2022, but declined to -0.91% in 2023 due to the extremely high inflation and weak consumptions. The consumer price in Hungary rose to a peak of 25.7% in January 2023, the highest rate in the EU. High inflation was driven by surging energy and food prices as Figures 24 and 25 show. The Hungary economy has been weak with the growth rate of 0.5 % in 2024. The GDP expanded by 0.1% in the second quarter of 2025. Figure 24: Gasoline price in Hungary Figure 25: Food inflation in Hungary  Figure 26: annual GDP growth rate in Hungary, 2016-2024 Bulgaria’s economy has faced challenges from the Ukraine ware, due to increased energy prices and disruptions in trade. As Figure 27 shows, the initial economic recovery was stronger than anticipated, with a 4.0% GDP growth in 2022, but the Ukraine war’s impact, coupled with inflation and global economic headwinds, led to a slowdown. Bulgaria’s economy expanded by 1.89 % in 2023. Then Bulgaria GDP bounced back to 2.8 % in 2024 and by 3.1% in the first quarter of 2025. Figure 27: annual GDP growth rate in Bulgaria, 2016-2024 Romania’s economy has experienced both positive and negative impacts from the Ukraine war. As Figure 28 shows, the Romanian economy displayed unexpected strength in 2022, with a 4.8% growth rate thanks to strong private consumption and investment. However, the Ukraine war’s effects, particularly on energy prices and supply chains, dampened Romanian growth. Romanian growth rate for 2023 was 2.2%, but it moderately rebound in 2024 with a 2.8% growth rate. The Romanian GDP increased by 0.3% in the first quarter of 2025. Romania faced challenges related to fiscal deficits, public debt, and inflation. Romania’s ability to navigate these challenges and capitalize on opportunities, such as EU support and its strategic geographic location, will be crucial for its long-term economic prosperity.  Figure 28: annual GDP growth rate in Romania, 2016-2024 Slovakia’s economy has faced significant challenges due to the war in Ukraine, mainly through energy & food price shocks and disruptions to trade and supply chains. As Figure 29 and 30 show, gasoline and food price in Slovakia significantly increased. Slovakia’s economy grew by 0.45% in 2022, a 5.28% decline from 2021. GDP growth rate for 2023 was 1.38 %. GDP growth in Slovakia moderately bounced back in 2024 with a growth rate of 2.0. In the first quarter of 2025, Slovakia economy grew by 0.2 %.  Figure 29: Gasoline price in Slovakia Figure 30: food inflation in Slovakia Figure 31: annual GDP growth rate in Slovakia, 2016-2024 In 2022, Slovenia experienced a slow economic growth with 2.7%, a 5.69% decline from 2021. due to the Ukraine war and subsequent energy price hikes and supply chain disruptions. Slovenia’s economy has been hurt by the Ukraine war and subsequent flooding in 2023 and 2024 with a 2.1 % and 1.5 % growth rate, respectively. Slovenia’s GDP growth was down to -0.7 % in the first quarter of 2025.   Figure 32: annual GDP growth rate in Slovenia, 2016-2024 III. Conclusion  This paper analyzed the economic effects of the Ukraine war on Russia, Ukraine, and Eastern European countries with a focus on inflation and GDP growth. The paper showed that after the Russian invasion of Ukraine in February 2022, inflation skyrocketed not only in the EU member countries, including Eastern European countries, but also in Russia and Ukraine. However, the pattern of inflation was different. Inflation in Russia and Ukraine did not follow the inflation pattern of EU member countries in which inflation skyrocketed in 2022 and then has slowly declined over time. Rather inflation in Russia and Ukraine skyrocketed in 2022 and then slowed down in 2023 and started to climb again in 2024 and 2025. Inflation in Eastern European countries followed the pattern of EU member countries in which inflation skyrocketed in 2022 and has then slowly declined over time. On the other hand, the pattern of GDP growth was different, depending on the individual conditions of each nation, although most countries experienced economic decline in 2022 relative to 2021. Some countries such as Ukraine and Russia experienced negative growth in 2022 and then recovered from 2023. Other countries such as Hungary, Romania, Bulgaria, and Czech Republic experienced moderate growth in 2022 and then slowed down over time. Still other countries like Slovakia and Slovenia experienced very low GDP growth over the period of 2022-2025.  References Biddle, Stephen D. 2022. “Ukraine and the Future of Offensive Maneuver.” War on the Rocks. November 22. https://warontherocks.com/2022/11/ukraine-and-the-future-of-offensive-maneuver/.Biddle, Stephen D. 2023. “Back in the Trenches: Why New Technology Hasn’t Revolutionized Warfare in Ukraine.” Foreign Affairs 102 (5): 153–164.Dijkstra, Hyllke, Myriam Dunn Cavelty, Nicole Jenne, and Yf Reykers. 2023. “What We GotWrong: The War Against Ukraine and Security Studies.” Contemporary Security Policy 44(4): 494–496. https://doi.org/10.1080/13523260.2023.2261298Ozili, P.K., 2022, Global Economic Consequence of Russian Invasion of Ukraine. Available online at: https://ssrn.com/abstract=4064770(open in a new window)

Introduction Geopolitical tensions are making global trade increasingly difficult. In order to reduce the associated risk of default, companies are shifting their trade relations to trading partners that are politically similar to them. In the course of the beginnings of geo-economic fragmentation, politically and economically like-minded countries are also gaining in importance for German and European decision-makers. Liaison countries1 in particular can form a counterforce to the trend towards polarization in foreign trade - especially between the USA and China: they are characterized by a pronounced economic and trade policy openness that overrides differences between geopolitical or ideological camps. Consequently, the question arises: How can relevant connecting countries for Germany and Europe be identified? What opportunities and risks do closer trade relations with these countries offer in order to strengthen foreign trade resilience in geopolitically uncertain times?  With a high degree of openness - defined as the sum of imports and exports in relation to gross domestic product - of over 80 percent2 , the German economy is strongly integrated into global trade. Accordingly, the disruptive effect of geo-economic fragmentation on the German economy would be above average. The defensive strategy to strengthen Germany's economic security by pushing for trade policy independence would only reinforce geo-economic fragmentation. Against the backdrop of comparatively high economic vulnerability, it is necessary to focus on those potential partner countries with which German and European foreign trade could be developed and expanded even under the condition of increasing fragmentation.  Geoeconomic Fragmentation  The term "geo-economic fragmentation" is used to describe the politically motivated reorganization of global goods and financial flows, in which strategic, economic and political interests primarily determine the choice of countries of origin and destination for trade flows.3 In the scenario of geo-economic fragmentation, the result would be the formation of a bloc within the global community of states, which would fundamentally change the regulatory structure of global economic networking. In this case, trade and investment would probably concentrate from a previously diverse range of economic partner countries - prior to the formation of the bloc - on those countries that now - since the formation of the bloc - belong to the same bloc.  The likelihood of this scenario occurring and leading to an increased fragmentation of the global economic order has increased again in the recent past. For example, Donald Trump's second term as US president is causing increasing geopolitical uncertainty worldwide.  Statements on the concrete form of a possible demarcation of potential blocs are subject to a great deal of uncertainty. However, the division of a large part of the global economy into a "US bloc" and a "China bloc" is a conceivable scenario for which German politics and business should prepare.  Data already shows that, at a global level, foreign trade openness has decreased in the recent past. Data from the World Trade Organization (WTO) illustrates the increasing hurdles in global trade in goods. While 3.1% of global imports were still affected by tariff or non-tariff barriers to trade in 2016 - including under WTO rules - this figure rose to 11.8% in 2024 over the following years.4 This development goes hand in hand with a noticeable loss of importance and enforcement of the WTO since the 2010s, which previously played a central role as the guardian of the rules-based global economic order.  Studies by the International Monetary Fund (IMF) have already found indications of an incipient geo-economic fragmentation along potential bloc borders. It shows that trade in goods and foreign direct investment between countries that would belong to the opposing camp in the event of a bloc formation declined on average in 2022 and 2023 - in contrast to foreign trade between countries that are geopolitically close.5  In this initial phase of geo-economic fragmentation, liaison countries are beginning to establish themselves as a counterforce, holding the fragmenting global community of states together with new trade and investment routes.  Identification of liaison countries Specifically, liaison countries have the following characteristics: a pronounced openness to foreign trade in the form of a high foreign trade quota and low tariff and non-tariff trade barriers, as well as pronounced economic relations with partner countries from different geopolitical camps. The geopolitical orientation of countries can be examined using data on voting behavior within the United Nations.6 This involves analyzing whether a country can be assigned to the US or Chinese camp - or whether there is no pronounced proximity and therefore political neutrality or "non-alignment" in the sense of ideological independence. The data-based identification of connecting countries is relatively new. Empirical analyses are also limited to connecting countries in the context of US-Chinese foreign trade - specifically US imports from China. In this case, the characteristics of a connecting country can be broken down into (1) "non-alignment" - i.e. a geopolitical distance to both a Western and an Eastern bloc - as well as (2) an increase in imports and foreign investment from China and (3) a simultaneous increase in exports to the United States. In a narrower sense, this is an evasive reaction to trade restrictions, i.e. circumventing trade. If the foreign trade indicators - specifically the trade and investment data relating to the US and China - of "non-aligned" countries for the period from 2017 to 2020 show corresponding characteristic-related changes compared to previous years, these can be identified as countries connecting the US and China.  The analysis of trade data shows that the value of direct exports from China to the USA fell during Donald Trump's first term in office. At the same time, both Chinese exports to some of the "non-aligned" countries and exports from these countries to the USA have increased significantly. These countries have presumably stepped in as a link on the export route from China to the US after the previously direct trade flow was interrupted by trade barriers and had to find a new route. Companies producing in China are therefore likely to have sought new, indirect ways to maintain access to the US sales market.  A certain statistical inaccuracy in the foreign trade data makes it difficult to draw a definitive conclusion in this context. It should be noted: No single commodity can be tracked across national borders in trade data collection. Whether the additional goods imported from China actually found their way to the United States can only be assumed approximately. However, if the trade flows are aggregated, a clearer picture emerges and the circumvention trade via selected connecting countries - including Vietnam and Mexico - becomes visible.  Data on foreign direct investment rounds off the analysis.7 "Non-aligned" countries in which an increase in Chinese investment can be seen between 2016 and 2020 in addition to trade flows can be identified as connecting countries. Here, too, available data suggests that the companies concerned either exported their goods to the United States via a stopover or even outsourced parts of their production destined for the US market to connecting countries. Five connecting countries between the US and China Based on the 2017-2020 study period, various connecting countries can be empirically identified that were used to indirectly maintain access to the US market. In terms of foreign trade volume, the economically most important connecting countries include Mexico, Vietnam, Poland, Morocco and Indonesia.8 All five countries are characterized by the fact that both their exports of goods to the US and their imports of goods from China increased significantly between 2017 and 2020. In addition, greenfield investments (foreign direct investment to set up a new production facility) have risen significantly compared to the period before 2017.  However, the five countries show different priorities in their development, which differentiate them in their role as connecting countries between the USA and China. In Vietnam, exports to the USA in particular have risen sharply. China has been the most important procurement market for Vietnamese companies for years. Poland, Mexico and Indonesia are characterized as connecting countries primarily by the significant increase in imports from China. Morocco, in turn, was able to attract more Chinese foreign investment in particular. Greenfield investments have almost tripled here since 2017. However, Poland - a rather surprising candidate for the role of liaison country, as it is intuitively assigned to the US-oriented bloc - is positioned fairly centrally between the US and China according to the analysis of voting behavior within the United Nations9. In addition, Poland qualifies primarily due to the sharp rise in greenfield investments from China, primarily in the expansion of domestic battery production.10  It cannot be concluded from the previous studies on the USA and China whether German companies are also circumventing trade barriers from the USA via the countries identified. As the trade policy conflicts between the US and China differ significantly from those between the EU and China, there has been a lack of comparable empirical data to analyze connecting countries in the EU context. Opportunities and challenges As the German economy is strongly oriented towards foreign trade and is closely networked with both the USA and China, German companies play a particularly exposed role in the area of tension between the USA and China. Increased economic exchange with potential connecting countries would offer German companies an opportunity to mitigate the expected shock of a geopolitical bloc. They could at least maintain international trade to a certain extent and thus secure some of the endangered sales and procurement markets. On the other hand, there are also costs associated with expanding foreign trade relations with potential connecting countries. The greater complexity also increases the risk in the value chains. Companies that position themselves wisely within this trade-off buy themselves valuable time in the event of a shock to reorganize themselves against the backdrop of changed foreign trade conditions.  From the perspective of foreign trade policy, it is also possible to examine the extent to which stronger foreign trade cooperation with (potential) connecting countries could have advantages. The trade-off between resilience and complexity must then be assessed at a macroeconomic level, beyond individual company interests. In order to make it easier for companies to connect to potential connecting countries and to create appropriate framework conditions, German and European policy can build on existing comprehensive strategies at national and European level. Both the China Strategy11 and the National Security Strategy12 focus foreign policy on connecting countries as part of a stronger economic and political risk diversification. There is also a similar framework at European level with the EU's Strategic Compass13 . Following on from this, the German government could create targeted incentives to open up new markets in liaison countries, which would diversify critical supply chains and reduce one-sided dependencies.  At the same time, connecting countries pose a challenge. These can be used to circumvent foreign trade measures such as sanctions if flows of goods can find alternative routes via connecting countries more easily than before.  In order to realize opportunities and overcome challenges, close cooperation between science, politics and companies is required. This first requires the identification of a selection of potential connecting countries through scientifically sound analysis. This creates the basis for the subsequent steps in which European and German policymakers work closely with companies to create attractive framework conditions for trade with potential connecting countries - for example through bilateral trade agreements.  Attractive foreign trade framework conditions can create the necessary incentive to actually expand trade relations with potential connecting countries. Companies need to weigh up individual cases and make forward-looking decisions: To what extent is there a risk of a loss of production triggered by geopolitical conflicts? And how much would the complexity of the value chain increase if more potential connecting countries were included? Ultimately, the actual choice of preferred sales and procurement markets lies with the individual companies. LicenseThis work is licensed under CC BY 4.0 References1. Verbindungsländer werden im Sinne von Connectors verstanden, vgl. Gita Gopinath/Pierre-Olivier Gourinchas/Andrea F Presbitero/Petia Topalova, Changing Global Linkages: A New Cold War?, Washington, D.C.: IMF, April 2024 (IMF Working Paper) <https://www.imf.org/en/Publications/WP/Issues/2024/04/05/Changing-Global-Linkages-A-New-ColdWar-547357/>. 2. Statistisches Bundesamt (Destatis), Außenwirtschaft. 2025, <https://www.destatis.de/DE/Themen/Wirtschaft/Globalisierungsindikatoren/aussenwirtschaft.html#246 078/>.  3. Shekahar Aiyar/Franziska Ohnsorge, Geoeconomic Fragmentation and ‚Connector’ Countries, Online verfügbar unter:  <https://mpra.ub.uni-muenchen.de/121726/1/MPRA_paper_121726.pdf>.4. WTO, WTO Trade Monitoring Report, Genf, November 2024, <https://www.wto.org/english/tratop_e/tpr_e/factsheet_dec24_e.pdf/>. 5. Gita Gopinath/Pierre-Olivier Gourinchas/Andrea F Presbitero/Petia Topalova, Changing Global Linkages: A New Cold War?, Washington, D.C.: IMF, April 2024 (IMF Working Paper) <https://www.imf.org/en/Publications/WP/Issues/2024/04/05/Changing-Global-Linkages-A-New-ColdWar-547357/>.  6. Michael A. Bailey/Anton Strezhnev/Erik Voeten, »Estimating Dynamic State Preferences from United Nations Voting Data«, Journal of Conflict Resolution, 61 (2017) 2, S. 430-456, <https://journals.sagepub.com/doi/10.1177/0022002715595700/>.7. Gita Gopinath/Pierre-Olivier Gourinchas/Andrea F Presbitero/Petia Topalova, Changing Global Linkages: A New Cold War?, Washington, D.C.: IMF, April 2024 (IMF Working Paper) <https://www.imf.org/en/Publications/WP/Issues/2024/04/05/Changing-Global-Linkages-A-New-ColdWar-547357/>. War-547357. 8. Enda Curran/Shawn Donnan/Maeva Cousin, »These Five Countries are Key Economic ‚Connectors‘ in a Fragmenting World«, in Bloomberg (online), 1.11.2023, <https://www.bloomberg.com/news/articles/2023-1102/vietnam-poland-mexico-morocco-benefit-from-us-china-tensions/>.9. Michael A. Bailey/Anton Strezhnev/Erik Voeten, »Estimating Dynamic State Preferences from United Nations Voting Data«, Journal of Conflict Resolution, 61 (2017) 2, S. 430-456, <https://journals.sagepub.com/doi/10.1177/0022002715595700/>.  10. Enda Curran/Shawn Donnan/Maeva Cousin, »These Five Countries are Key Economic ‚Connectors‘ in a Fragmenting World«, in Bloomberg (online), 1.11.2023, <https://www.bloomberg.com/news/articles/202311-02/vietnam-poland-mexico-morocco-benefit-from-us-china-tensions/>.11. Auswärtiges Amt, China‐Strategie der Bundesregierung, Berlin, Juli 2023, <https://www.auswaertigesamt.de/resource/blob/2608578/810fdade376b1467f20bdb697b2acd58/china-strategie-data.pdf/>.  12. 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Russia’s Northern Sea Route (NSR) along its Arctic coastline has, for centuries, been as much a dream as a reality. The coastal corridor is a chance to cement Russia’s place as a polar energy superpower, and the presence of unexploited reserves of resources, the keeper of a possibly vital global artery. Yet the NSR’s story in the 21st century is not simply about ambition. It is about a paradox; two forces pushing in opposite directions. One force is geopolitical. A tightening of Western sanctions has cut Russia off from Western capital, technology, and partners that once underpinned its Arctic rise. The other is environmental: climate change. The melting of the sea ice at unprecedented rates is lengthening the navigable season and giving Russia a window of opportunity in the high north. Together they create a strange, almost theatrical tension – a stage where climate change is opening new Arctic pathways even as geopolitics seems to be closing them. This article traces how Moscow has adapted awkwardly at times and creatively at others to this paradox. The question is not whether Moscow still wants to realise the NSR’s promise. It does. The question is whether it can, and if so, at what cost. The answer lies in how Russia has substituted partners, improvised workarounds, looked inwards for domestic substitutions and leaned on risky logistics to keep its Arctic ambitions alive. The years after 2007 (to capture the pre-sanctions baseline and the waves of sanctions that followed), when Russia planted a titanium flag on the seabed at the North Pole, tell a story of Russia’s NSR adaptation, dependency, and resilience under constraint. The NSR’s economy runs on the same plumbing that moves everything from coffee to crude: finance, insurance, classification societies, maritime services, and high-end technology. When Western governments began sanctioning Russia over Crimea in 2014, the sanctions did not simply target individuals or issue symbolic bans. They went for the “nodes” in the global economy that Russia’s Arctic projects depended upon. This is a textbook case of weaponised interdependence. The theory explains how states that control critical financial and technological chokepoints in an interconnected global order can turn global connectivity into leverage. The effect was immediate. U.S. export controls banned Arctic offshore oil exploration technology, freezing ventures like ExxonMobil’s Kara Sea project. European and American banks withdrew. Insurers cancelled coverage for Russian vessels, and the International Association of Classification Societies expelled Russia’s maritime register. Without classification, many Russian-controlled ships lost their safety certificates and lost access to ports and insurance altogether. The 2022 invasion of Ukraine supercharged this process. Energy giants such as Exxon,  and Halliburton left Russia’s Arctic. Sanctions extended to almost every aspect of maritime trade. International Protection & Indemnity (P&I) clubs refused Russian risks, and the exodus of foreign expertise left Russia’s Arctic sector without many of the specialised tools it had once imported. In essence, sanctions acted as a structural stress test on Russia’s Arctic political economy, which raised financing costs, choking technology transfer, and narrowing partnership options for both upstream oil and gas exploration and midstream shipping and processing. Yet, the sanctions did not halt Arctic operations altogether. By 2023, the NSR cargo carried record volumes along the route. The moved cargo was roughly around 38 million tonnes of goods in 2024. This cargo was almost entirely Russian oil, gas, and minerals headed to Asia. The international shipping firms that had once dreamed of using the NSR as a global transit lane were seemingly gone. What remained was a “Russified” corridor: an export pipeline to friendly markets, sealed off from most of the world. Sanctions forced Russia to find replacements for Western finance, expertise, equipment, and markets. The most obvious substitute was China. The two countries already had growing energy ties, and after 2014, Beijing stepped in where the West stepped out. Chinese state banks provided roughly $12 billion in loans after Western financing dried up for Yamal LNG, the Arctic’s first LNG megaproject. China National Petroleum Corporation (CNPC) took a 20% stake in the project in 2013, and the Silk Road Fund took another 9.9% in 2016. Chinese shipyards supplied modular components, and by late 2017, the project was completed on schedule despite the constraints. This model, to replace Western inputs with Chinese ones, was carried over to Arctic LNG 2 on the Gydan Peninsula. CNPC and CNOOC each took 10% stakes by 2019, and Chinese yards again won construction contracts. A secondary interdependence formed: Chinese capital, shipbuilding, and market demand for LNG in exchange for Russian resources and Arctic access. But this substitution came with a catch. The relationship was asymmetric interdependence. Russia now relies far more on China than China does on Russia. For Moscow, the NSR and Arctic LNG capacity are strategic lifelines and Russia, under sanction, cannot so easily diversify its partners. But Beijing has other suppliers; the NSR is optional for Chinese trade. Beijing has used that leverage with a light but unmistakable touch by pressing for sanctions carve-outs and pausing when penalties threaten its global financial and commercial interests. When Washington sanctioned Arctic LNG 2 in late 2023, Chinese firms froze participation. CNPC and CNOOC invoked force majeure, and Wison (a Chinese manufacturer of LNG modules) recalled shipments and stopped work altogether. By 2023, roughly 95% of NSR transit cargo was bilateral Russia–China trade, mostly Russian oil moving east. When China pulled back, Moscow protested mildly; when Western firms did the same, the rhetoric was far harsher. The imbalance was clear. The NSR had become a lifeline for Russia, but only one option among many for China. Alongside external partnerships, Moscow sought to fill the gaps domestically. The flagship is the Zvezda shipyard in the Russian Far East, which was meant to deliver a homegrown fleet of Arctic-class tankers and LNG carriers. Initially a joint venture with South Korea’s Samsung Heavy Industries, Zvezda lost access to many suppliers after 2022. Building the specialised Arc7 LNG tankers proved harder than planned, and delays created a shipping shortfall. So, Moscow improvised at sea. The workaround was a fleet few had anticipated: the so-called “shadow fleet.” These are ageing, often 20-year-old tankers. Reflagged under flags of convenience to Panama, Liberia and the Marshall Islands, they sail without reputable insurance or up-to-date safety certification. After the EU banned Russian oil imports and the G7 imposed a price cap, Russia’s traders bought up and reactivated such ships. Some sail with AIS trackers off, earning them the nickname “floating time bombs” from former NATO commander James Stavridis. Regulators noticed. NATO began monitoring the dark fleet in 2023. The UK and Denmark tightened port inspections earlier; by mid-2025, Norway ordered inspections of all foreign tankers using its ports that had been involved in Russian Arctic trade. The cat-and-mouse is literal: AIS “spoofing,” loitering near transhipment points like Murmansk, and identity-masking tactics have all proliferated. The objective is simple – keep exports moving despite Western control over finance and insurance chokepoints. The method is naturally costly and risky. The environmental risks are also obvious, especially in Arctic waters. Yet by 2023, this shadow fleet had helped Russia stage a dramatic comeback on the NSR. Transit cargo, which had collapsed to around 41,000 tonnes in 2022,  hit a record 2.1 million tonnes in 2023, much of it oil to China. Of the 75 transit voyages (the most ever in a season) that year, 59 were in ships over 10 years old, and nearly 40% in vessels over 20. Three voyages were made by ships with no ice classification at all, possible only during the mildest late-summer window. This is resilience under constraint in action: maintaining volumes, but through seemingly riskier, costlier, and less sustainable logistics. The paradox deepens when nature itself becomes a player. The Arctic is warming roughly four times faster than the global average, a phenomenon known as Arctic amplification. This is thinning and shrinking its sea ice. Late-summer ice extent has declined by about 12% per decade, and the September ice volume is almost half of what it was in 1980. In a warm year like 2020, the NSR can see up to 88 ice-free days, extending the season well into October. The distance savings are tempting. After the 2021 Suez blockage, Moscow pitched the NSR as the more sustainable and safer,  with President Vladimir Putin setting targets of 80 million tonnes of cargo by 2024 and 130 million by 2035. Russia invested in infrastructure to shape the Arctic in its favour.  Chief among those investments is the series of nuclear icebreakers in the LK-60Ya class, intended to widen and lengthen the navigable seasonal window. Variability is the Arctic’s constant. In 2021, an early freeze trapped more than 20 ships in the Laptev Sea. A single harsh season or geopolitical flare-up could, according to one modelling study, cost up to $10 billion by closing the route for a year. Wind and currents can push ice into chokepoints, while storms and fog add further hazards. The message: averages entice; outliers punish. Major shipping companies remain unconvinced. The IMO’s Polar Code demands expensive safety upgrades, and giants like CMA CGM have sworn off the NSR, citing environmental and reliability concerns. Arctic shipping is feasible but rarely profitable for time-sensitive cargo under current conditions. In effect, climate change is lengthening the season but not guaranteeing it. Warm years can soften the impact of sanctions by enabling marginal ships to sail; cold years can erase those gains overnight. Moscow treats most of the route as water where it can write its rules with Russian regulations. The legal scaffolding rests on UNCLOS Article 234. The clause gives coastal states extra authority over ice-covered waters to protect the environment and, in places, on claims of historic usage through narrow straits. That interpretation has teeth. In 2019, Russia demanded advance notice from foreign warships before NSR transits. In 2023, Russia proposed stretching that notice to 90 days. The counter-view in Western capitals is blunt: key passages function as international straits with transit rights. Call it legal geopolitics. The idea that in contested spaces, law becomes an instrument of statecraft. With Western commercial presence all but gone since 2022, there have been few real-world tests of those competing claims. The ambiguity persists. So does the risk of friction if NATO navies decide to test freedom-of-navigation in the high north. The Arctic Council was built to keep geopolitics off the ice. War changed that. In early 2022, seven of eight members (everyone but Russia) paused participation, sidelining Russia’s chairmanship. Work resumed later that year without Russia; when Norway took the chair in 2023, that format stuck. The result: a governance gap where the Council once supplied common ground on search-and-rescue, spill response, and scientific cooperation. Into that gap have flowed unilateral and minilateral moves: EU sanctions to enforce oil price caps, national inspections of suspect tankers, NATO’s higher Arctic profile, and Russian military investments through the Northern Fleet. Moscow has doubled down on bilateralism, notably with China under a “Polar Silk Road” banner. Remove a pan-Arctic consensus, and states start to read the NSR less as a shared commercial asset and more as a strategic corridor. As long as the Council stays divided and the law stays fuzzy, the NSR looks less like a future global lane and more like a national project under duress. One under-appreciated dynamic is how weather and policy interact. A warm, low-ice year can partially offset sanctions by letting Russia move more cargo with sub-optimal ships and fewer partners. A harsh ice year can erase those workarounds; no amount of reflagging gets a thin hull through new ice without icebreakers. 2023 offered mild late-summer conditions and newly assembled logistics. Hence, the record season. 2021 offered an early freeze that embarrassed seasoned operators. Climate acts as the swing variable in Russia’s resilience equation. Targets mirror the tension. 80 million tonnes by 2024 proved aspirational as sanctions deepened and ice conditions fluctuated. The reset to 130 million by 2035 admits the need for a longer runway. More LK-60Ya icebreakers, more Arc7 hulls, more trans-shipment capacity, and, crucially, more reliable partners. The Zvezda bet may pay off, but replacing the full Western stack in the form of financing, kit, and specialised metallurgy takes time that geopolitics rarely grants. The shadow fleet moves oil, but at a cost. Older hulls, opaque ownership, weak insurance, and AIS dark zones each raise the chance of an incident. The high north does not forgive. A significant spill by an unclassed or uninsured vessel could slam shut political windows that the climate has opened. Every accident, real or narrowly avoided, argues for more scrutiny. For non-Russian shippers, reputational and compliance risk is decisive. The safety problem is moral, ecological and financial. Insurance premiums, capital costs, and compliance burdens spike when standards look variable and enforcement is vigilant. If the NSR is to attract rather than deter global carriers, four shifts stand out. The first is stable multilateralism. A thaw in Arctic Council politics that restores full eight-member cooperation on search-and-rescue, spill response, and scientific collaboration would reduce risk premiums. Without it, patchwork national rules and military signalling will continue to overshadow commercial priorities. The second is legal clarity. Narrowing the gap between Russia’s interpretation of Article 234 and Western views on straits rights, whether through litigation, negotiated guidelines, or pragmatic practice, would help calm the concerns of navies and insurers. Ambiguity, in this case, is costly. The third is infrastructure at scale. Expanding the fleet of LK-60Ya icebreakers, deepening the Arc7 fleet, ensuring reliable trans-shipment hubs from Murmansk outward, and building robust rescue and response capabilities would turn the Arctic’s volatile weather from a crippling hazard into a manageable variable. The fourth is safer logistics. Replacing dark fleet tonnage with transparent, classed, and adequately insured ships is unlikely under current sanctions, but any easing or targeted carve-outs could logically be traded for higher operational and environmental standards. Absent these shifts, the NSR will likely remain a niche corridor – reliable enough for Russia’s exports to a handful of partners – but not predictable or de-risked enough to attract the world’s container giants. In the end, the Route looks less like a global artery in waiting than a bespoke lane kept open by improvisation and political will. Russia has shown it can move volumes east without Western scaffolding. Still, the price is exposure: to China’s cautious leverage, to legal and governance ambiguity, to safety and insurance risk, and to a climate that can widen or snap shut the seasonal window with little warning. What emerges is resilience under constraint, capability sustained by workarounds rather than durable rules and partners. If geopolitics softens, the Arctic Council reactivates in full, and industrial bets from Zvezda to new icebreakers mature, the arc could still bend toward normalisation. Until then, this remains a sturdy yet narrow corridor; strategically vital to Moscow, serviceable for a few, and unlikely to host the time-sensitive traffic that defines a truly global route.

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. 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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.

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. 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