The technical case for concern is well established. Cities amplify heat through the urban heat island effect, a phenomenon in which concrete, asphalt, and dark roofing absorb solar radiation during the day and release it slowly at night, keeping urban temperatures several degrees higher than surrounding rural areas. Reduced ventilation in densely built street canyons, waste heat from vehicles and air conditioners, and the loss of vegetated, moisture-retaining surfaces all compound the effect. As global temperatures climb, the baseline against which these local amplifications operate keeps rising, so the hottest nights and longest heat waves in a growing city become more extreme with every passing year. The authors emphasize that adaptation measures are being implemented against this backdrop of accelerating planetary warming, and that this backdrop fundamentally changes what local action can achieve.

Conventional responses remain firmly technological and municipal. Urban greening programs plant trees and restore parks to provide shade and evaporative cooling. Cool roofs raise albedo so that rooftops reflect more sunlight instead of absorbing it, and super cool materials push reflectivity and thermal emittance even higher, lowering roof surface temperatures dramatically. Building retrofits and passive design strategies reduce indoor heat gain through insulation, shading, ventilation, and reflective envelopes, cutting the need for energy-hungry mechanical cooling. These interventions demonstrably work at the scale of a block, a building, or a neighborhood, and the authors do not dispute their value. Instead, they make a more uncomfortable point: local interventions alone cannot overcome the broader climatic and structural conditions that increasingly limit their effectiveness and scalability.

The reasons are as much financial as physical. Many of the fastest-warming, fastest-growing cities sit in countries facing heavy debt burdens, narrow fiscal capacity, and limited access to climate finance. Greening a city at scale requires land, water, maintenance budgets, and trained staff over decades, not a single planting season. Retrofitting informal settlements demands capital that municipal governments in the Global South often simply do not have, while the upfront costs of cool roofing and passive design fall hardest on low-income households least able to pay them. International climate funds, designed for nation-scale mitigation projects, are frequently slow, competitive, and poorly matched to the granular, multi-year needs of municipal heat action. The result, the essay argues, is a persistent gap between the scale of the heat problem and the resources available to address it.

Beneath the fiscal constraints lies an even sharper issue of justice. Heat risks are not distributed evenly within cities, and neither is the capacity to respond. Wealthier residents can afford air conditioning, well-insulated housing, shaded neighborhoods, and private vehicles, while poorer residents often work outdoors or in unventilated workshops, live in heat-trapping informal housing, and lack reliable electricity for cooling. The authors describe a widening mismatch between those facing the greatest heat burdens and those possessing the greatest ability to cope. This unequal exposure is not accidental; it is shaped by political-economic processes that determine where people live, what their housing is made of, and which neighborhoods receive infrastructure investment. Heat, in this view, is a mirror of existing inequality, amplified by warming air.

The essay draws on evidence from urban climate science, adaptation research, development studies, and the climate justice literature to build this case, and it makes a careful conceptual distinction that gives the argument much of its force. Climate change mitigation, the reduction of greenhouse gas emissions, and local urban heat reduction perform distinct but complementary functions. Planting trees or coating roofs lowers local temperatures regardless of what happens to global emissions, but it cannot stop the planetary warming that raises the baseline. Conversely, global mitigation protects future generations from catastrophic warming but does little for a resident of a hot informal settlement during this decade. Neither can substitute for the other, yet most governance arrangements treat them as separate problems managed by separate institutions at separate scales, leaving the interaction between them unaddressed.

That institutional fragmentation is where governance enters the argument. The authors call for a shift away from predominantly local and technocratic approaches toward integrated strategies that combine mitigation, equitable climate finance, enhanced fiscal capacity, and multi-level governance. In practical terms, this means municipal heat action plans linked to national emission commitments, direct and simplified access to international climate finance for city governments, and fiscal reforms that give fast-growing cities the revenue to maintain infrastructure over decades. It also means recognizing that informal settlements, where a large share of future urban population growth will occur, cannot be cooled by demonstration projects alone; they require structural investment in housing, water, electricity, and public space.

The stakes of getting this wrong are measured in lives and in long-term habitability. Extreme heat is among the deadliest climate hazards, and its mortality toll is often undercounted because it kills through cardiovascular and respiratory stress rather than as a direct cause of death. Nighttime heat is particularly dangerous, since it prevents the human body from recovering between hot days, and urban heat islands are strongest after dark. In cities where electricity grids falter during heat waves, cooling becomes not just uncomfortable but lethal. As heat intensifies, labor productivity falls, outdoor work becomes hazardous, and the economics of entire urban regions come under pressure, turning heat from a seasonal nuisance into a structural drag on development itself.

What makes the essay striking is its refusal to let cities off the hook or to blame them unfairly. The authors acknowledge the genuine power of urban greening, cool and super cool roofs, and passive design, tools championed for years by researchers including Santamouris and Akbari, whose work on reflective roofing helped launch the cool surfaces movement. Their claim is about framing: heat reduction measures should be embedded within strategies that also confront debt, finance, governance, and equity, rather than offered as stand-alone technical solutions. A city that plants a million trees while its poorest districts remain unbondable and unbanked has treated a symptom; the disease is the arrangement of money and power that left those districts exposed in the first place.

The broader lesson extends well beyond any single metropolis. Most of the world’s urban growth this century will occur in cities of Africa and South Asia, places where climate change, population pressure, and fiscal stress collide most sharply. Whether those cities remain livable will depend less on the ingenuity of individual cooling technologies than on whether the international system can deliver resources and authority to the governments closest to the problem. Reframing urban heat as a structural development challenge, the authors conclude, provides a more comprehensive framework for addressing climate justice, resilience, and long-term urban habitability under a warming climate. In other words, the future of the hot city will be decided not only in its streets and rooftops, but in its budgets, its banks, and its bargaining position in a warming world.

Subject of Research: Urban heat as a structural development challenge in rapidly growing Global South cities

Article Title: Urban heat as a structural development challenge in rapidly growing cities

Article References: Khan, A., Hamdi, R., Ahmed, T., Niyogi, D., Akbari, H., & Santamouris, M. (2026). Urban heat as a structural development challenge in rapidly growing cities. PLOS Climate, 5(10), e0001010. https://doi.org/10.1371/journal.pclm.0001010

Image Credits: AI Generated

DOI: 10.1371/journal.pclm.0001010

Keywords: urban heat island, climate adaptation, Global South cities, climate justice, cool roofs, urban greening, climate finance, governance, rapid urbanization, PLOS Climate, extreme heat, passive design

The technical core of the argument rests on a systematic comparison of public financial flows. Between 2013 and 2025, the authors report, more than 90 percent of Brazilian rural credit went to medium- and large-scale producers, while less than 10 percent reached smallholders through programs such as the National Program for Strengthening Family Farming, known as PRONAF. In the 2024/2025 agricultural year alone, roughly US$148.75 billion was allocated to large-scale producers, compared with just US$15.32 billion for family farming. The disparity becomes even sharper when the analysis narrows to socio-environmental credit lines covering agroecology, bioeconomy, and forestry: in the 2023/2024 agricultural year, these lines accounted for a mere 4.3 percent of PRONAF’s total credit volume and only 0.4 percent of all agricultural credit in the country.

The asymmetry extends well beyond credit markets. Public investment in research and development has consistently prioritized commodity supply chains, with Brazil’s public research institutions concentrating on productivity gains for large-scale agricultural value chains rather than on the diverse products of the standing forest. Infrastructure spending follows the same logic, focused on export logistics such as railways, ports, and waterways that move soy, beef, and grain to international markets. Under the New Growth Acceleration Program launched in 2023, the authors calculate that US$13.29 billion has been directed toward transport infrastructure oriented to commodity flows, with no provisions for supporting traditional territories or sociobiodiversity value chains.

Research funding tells a parallel story. The Brazilian Agricultural Research Corporation, EMBRAPA, which primarily serves commodity production, received US$951.85 million in 2024. By contrast, the National Agency for Technical Assistance and Rural Extension, ANATER, which supports family farmers, received just US$14.22 million in the same period, equivalent to only 1.5 percent of EMBRAPA’s budget. For the authors, these figures reveal a political economy in which the institutions and sectors with the greatest capacity to shape land use are those most heavily subsidized, while the forest-compatible alternatives that could anchor a low-carbon rural economy are left to rely on international cooperation and civil society organizations.

The environmental consequences of this configuration are quantifiable and severe. According to the Brazilian Greenhouse Gas Emission Estimation System, agribusiness directly accounted for 27.5 percent of Brazil’s greenhouse gas emissions in 2023, while land-use change driven by agricultural expansion contributed an additional 46.2 percent. Together, that means more than 70 percent of the country’s national emissions trace back to the sectors that receive the bulk of public support. The authors describe this as the central contradiction of Brazilian development policy: the activities most heavily financed by the state are also those most responsible for environmental degradation, creating a feedback loop in which public money reinforces the very pathway the country’s climate commitments require it to abandon.

Against this model, which the authors label a high-carbon configuration in their schematic analysis, they contrast an alternative built on what they call sociobiodiversity: economies rooted in low-carbon production, traditional knowledge, community governance, and the sustainable use of biodiversity. Across the Amazon, community-led initiatives ranging from agroforestry systems to managed fisheries have demonstrated the capacity to reconcile conservation with income generation. Previous research cited in the article, including studies of sustainable-use protected areas and community-based fisheries management, has shown that these arrangements can catalyze enhanced livelihoods while exerting a substantial protective footprint over forested landscapes. The authors argue that these models combine conservation, regeneration, and governance in ways that commodity production cannot.

Yet the sociobioeconomy remains what the authors describe as potential without scale. Its expansion is constrained by a familiar set of structural barriers: limited access to credit, inadequate infrastructure, weak market integration, the absence of payments for ecosystem services, and insufficient policy support. Even targeted programs for family farming allocate only a small fraction of resources to biodiversity-based production. As a result, sociobioeconomy initiatives often operate under conditions of financial precarity, depending on underpaid labor or the support of nonprofit organizations. This precariousness, the authors warn, undermines long-term viability, discourages the engagement of younger generations, and generates what they term social and ecological fatigue in the communities that sustain the forest. The problem, they emphasize, is not the absence of viable alternatives but the lack of sustained investment and institutional support to enable their growth.

The timing of the analysis is significant. The United Nations Climate Change Conference, COP30, held in Belém in November 2025, elevated forests, adaptation, and climate finance on the global agenda, and the approval of the Tropical Forest Forever Facility reflected growing international recognition that standing forests require long-term economic incentives. The facility, with projected returns of US$3 to 4 billion per year, could provide modest but stable support to forest-dependent communities. However, the authors caution that COP30’s outcomes were largely political statements rather than structural changes, and that the projected TFFF returns remain small compared with the domestic subsidies that continue to expand agricultural frontiers. They conclude that the facility should be understood as complementary to, rather than a substitute for, a fundamental rebalancing of national priorities.

What would that rebalancing look like in practice? The authors argue that a transition toward a low-carbon sociobioeconomy requires political and financial commitments comparable to those enjoyed by agribusiness. This includes redirecting public credit toward biodiversity-based production, investing in infrastructure adapted to forest territories rather than export corridors, expanding technical assistance for small producers and extractive communities, and strengthening community-based governance. Equally important, they stress, is the question of political representation. Decision-making power in Brazil’s Congress, which approves the federal budget and enacts and amends the laws governing land use, remains skewed toward sectors with strong economic influence. Currently, 63 percent of federal deputies, 324 of 513 members, are affiliated with the Agribusiness Parliamentary Front, while only four representatives are Indigenous.

The authors close with a pointed reframing of the Amazon debate. Sociobioeconomy initiatives, they argue, are already delivering evidence on the ground that it is possible to combine biodiversity conservation, climate mitigation and adaptation, Indigenous rights, and local socioeconomic development. The region does not lack solutions; it lacks the political conditions and policy support to scale them up. The future of the Amazon, they contend, will be shaped not by global discourse but by national and local choices, and transforming the region’s development model requires moving beyond the symbolic recognition of forest-based economies toward their effective material support. Only when benefits, decision-making power, and opportunities are equitably distributed among the Indigenous Peoples, traditional communities, and local populations who sustain these territories, they conclude, can Brazil reconcile economic development with social justice, the protection of sociobiodiversity, and climate stability, positioning the sociobioeconomy as a central pillar of an inclusive, low-carbon national development strategy.

Subject of Research: Rebalancing public investment from Amazon commodity agribusiness toward community-based sociobiodiversity economies

Article Title: From Commodities to Communities: Rebalancing public investment in the Amazon sociobiodiversity

Article References: Paes, M. X., Campos-Silva, J., Vieira, L. M., & Puppim de Oliveira, J. A. (2026). From Commodities to Communities: Rebalancing public investment in the Amazon sociobiodiversity. PLOS Climate, 5(8), e0001029. https://doi.org/10.1371/journal.pclm.0001029

Image Credits: AI Generated

DOI: 10.1371/journal.pclm.0001029

Keywords: Amazon, sociobiodiversity, bioeconomy, Brazil, rural credit, deforestation, agribusiness, climate finance, COP30, Indigenous peoples, community governance, tropical forests

The concept at the heart of the study is the cost of capital, or CoC: the rate of return that investors and lenders demand to compensate them for the risk of financing a project. This matters enormously because almost every low-carbon technology — wind turbines, heat pumps, electric arc furnaces, carbon capture systems — is capital-intensive. Most of the expense is paid up front, while the benefits, in the form of energy or materials, trickle in over decades. A technology whose costs are dominated by upfront investment is exquisitely sensitive to interest rates and return expectations. Raise the cost of capital by a few percentage points and a wind farm that looked cheap on paper can become uncompetitive against a gas plant, whose costs are spread across years of fuel purchases.

Despite this sensitivity, the integrated assessment models that inform reports by the Intergovernmental Panel on Climate Change have historically assumed a single, uniform cost of capital for all countries, sectors and technologies. The simplification was born of necessity: data were scarce and modelling complexity was already formidable. But it embeds a hidden assumption — that financing a solar project in Eastern Africa costs the same as financing one in the United States. The new research shows just how wrong that assumption is. Drawing on sovereign credit ratings and stock-market risk measures from the widely used NYU Damodaran database, the team calculated financing costs for eight climate-relevant sectors, including electricity, hydrogen production, cement, iron and steel, pulp and paper and food processing. The heterogeneity is striking: the cost of capital for electricity in high-risk regions such as Eastern Africa or Ukraine is roughly three times higher than in the United States. Even within a single low-risk country, sector differences matter — the cost of capital for American steel is about two percentage points higher than for American electricity, a gap equivalent to the difference between power projects in the United States and in India or Indonesia.

The team then fed these differentiated estimates into the IMAGE integrated assessment model, a well-established framework with high geographic and technological resolution that simulates energy systems and industry across 26 world regions through 2100. They ran two scenarios: one with the model’s typical uniform low-risk cost of capital of 5 percent, and one with their dynamic, region- and sector-specific estimates, which also capture how economic growth in developing countries gradually lowers sovereign risk premiums over time. Both scenarios were paired with a current-policies pathway, leading to about 2.8 degrees of warming, and an ambitious pathway that keeps warming well below 2 degrees, in line with the Paris Agreement.

The headline finding is that accounting for real-world financing conditions raises cumulative global mitigation costs through 2100 from 77 trillion to 84 trillion US dollars — an increase of roughly 9 percent. When the researchers decomposed this figure, they discovered that sectoral risk differences alone actually lower mitigation costs slightly, mainly by reducing electricity prices in some low-risk regions. The damage comes overwhelmingly from country risk, which adds about 6 percent to costs, and from the extra climate policy effort needed to compensate for the emissions that expensive capital leaves on the table, adding another 4 percent. In other words, the biggest distortion in decades of climate modelling has not been misjudging how risky the steel industry is — it has been pretending that a power plant in a country with a poor sovereign credit rating can be financed as cheaply as one in Zurich.

The emissions consequences are substantial. Without an endogenous policy reaction, introducing realistic financing costs raises cumulative global CO2 emissions through 2100 by roughly 60 to 70 gigatonnes — more than one additional year of current global emissions — driven overwhelmingly by high-risk regions. Expensive capital pushes electricity systems in those regions away from capital-intensive renewables and nuclear power and toward natural gas, which is less sensitive to financing costs than coal. It also suppresses investment in electricity grids in developing countries, a finding with major implications given that grid expansion needs for net zero are as large as, or larger than, those for power generation itself. And because energy prices ripple through the whole economy, sectors that were never directly modified in the model — transport and heating among them — also emit more, as higher power prices delay the switch from oil to electricity in passenger vehicles and trucking.

Perhaps the most striking results concern green hydrogen. Hydrogen production today is dominated by firms associated with the chemical sector, which carries above-average market risk, and electrolytic hydrogen is fully exposed to electricity prices, which themselves rise when the cost of capital rises. The result: hydrogen costs increase in nearly every region, with increases well above 20 percent in high-risk areas such as Western Africa — precisely the regions often envisaged as future hydrogen exporters. Global hydrogen production via electrolysis drops substantially in the model, while the incumbent technology, natural gas-based steam methane reforming, holds on longer. Cheaper-to-abate alternatives become more CO2-intensive and expensive, and hydrogen loses attractiveness for decarbonizing transport, industry and power, with end-of-century hydrogen usage falling accordingly under the ambitious climate scenario.

Heavy industry tells a similar story. In cement, responsible for about 7 percent of current global CO2 emissions, country and sector risks slow the transition from inefficient standard kilns to modern, efficient kilns equipped with carbon capture and storage, leaving a larger share of unabated production in place by 2100. In iron and steel, which accounts for roughly 8 percent of emissions, higher financing costs entrench the carbon-intensive blast furnace and basic oxygen furnace route, reduce the uptake of carbon capture on both that route and direct-reduced iron production, and squeeze out novel low-carbon processes such as hydrogen-based direct reduction and electrowinning. Industrial carbon capture by cement and steel falls substantially, overwhelmingly because of conditions in high-risk regions. The common thread is capital intensity: the very technologies needed to decarbonize industry are the ones most punished by expensive money.

The geographic redistribution is equally consequential. Mitigation costs rise not only in high-risk regions with persistently poor credit ratings, such as Ukraine or parts of South Asia, but also by 5 to 6 percent in major low-risk economies like the United States and China, as the model shifts cost-effective abatement toward lower-risk regions. In some high-risk parts of Eastern and Southern Africa, the effect is paradoxically reversed: abatement efforts shrink so much that overall abatement costs fall, even as global emissions rise. The study’s authors stress that economic growth in developing countries, while helpful, is unlikely on its own to close the financing gap, because sovereign risk also depends on institutional quality, regulatory stability and debt sustainability — factors that do not scale automatically with GDP.

The policy implications are pointed. Well-designed international climate finance can de-risk investments across all climate-relevant sectors in developing countries, helping to avoid what researchers have called investment traps, yet international mitigation finance remains heavily concentrated in low-carbon electricity generation, leaving grids, hydrogen and heavy industry underserved. The authors also caution that their estimates reflect market conditions rather than any judgment about whether financial markets price risk correctly, and that their model abstracts from sectors such as chemicals and transport finance. But the core message is hard to escape: the world’s climate models have been quietly assuming that money is cheaper than it is, especially where it is needed most. Correcting that assumption makes decarbonization slower, more expensive and more uneven — and makes the case for fixing global financing conditions itself a central piece of climate policy.

Subject of Research: The effect of country- and sector-specific cost of capital differences on global energy and industry decarbonization pathways

Article Title: The impact of financing cost differences on global energy and industry decarbonization

Article References: Waidelich, P., Crassier, C., de Boer, H. S., Tautorat, P., van Vuuren, D. P., & Steffen, B. (2026). The impact of financing cost differences on global energy and industry decarbonization. Nature Climate Change, 16(10), 1178-1186. https://doi.org/10.1038/s41558-026-02756-0

Image Credits: AI Generated

DOI: 10.1038/s41558-026-02756-0

Keywords: cost of capital, climate finance, integrated assessment models, decarbonization, renewable energy, green hydrogen, carbon capture and storage, developing countries, sovereign risk, steel industry, cement industry, IMAGE model

A new Policy Article published in Science by Catherine Wolfram and colleagues argues that this decades-old deadlock may be more solvable than commonly assumed, provided that climate policy is designed around the incentives that actually drive national decision-making. Rather than waiting for a universal agreement that binds every country to the same commitments, the authors propose that a group of willing nations form a climate coalition built around carbon pricing for heavy industry, reinforced by trade measures that protect members from competitive disadvantage. The proposal is notable for its specificity: instead of a vague aspiration, it identifies the sectors, the pricing structure, and the enforcement mechanism that would make such a coalition work in practice.

The core of the plan focuses on four industrial sectors that are notoriously difficult to decarbonize and even more difficult to regulate internationally: iron and steel, aluminum, cement, and fertilizers. Together, these industries account for roughly twenty percent of global greenhouse gas emissions. They share a defining economic characteristic that makes them uniquely vulnerable to the free-rider dynamic. Their products are heavily traded commodities, and their production costs are highly sensitive to energy prices. If one country imposes a carbon price on its domestic steel mills or cement plants while its trading partners do not, producers face a straightforward financial incentive to relocate production to jurisdictions with weaker rules, a phenomenon known as carbon leakage.

Carbon leakage is the mechanism through which unilateral climate ambition can quietly undo itself. When production migrates from a country with strict carbon pricing to one without it, global emissions may not fall at all, and the country that acted loses industrial capacity, jobs, and tax revenue while gaining little environmental benefit. This fear of leakage has shaped climate legislation in Europe and elsewhere for years, and it is the central reason the authors argue that carbon pricing alone, without a trade dimension, cannot sustain an ambitious international coalition. To prevent companies from simply shifting production to countries with weaker climate policies, coalition members would impose carbon charges on imports of covered products from nonmember nations, effectively extending the price signal across borders.

What distinguishes the Wolfram team’s analysis is the empirical grounding behind it. The researchers used detailed data on individual industrial plants around the world, combined with global trade patterns, to model how different coalition designs would perform. This plant-level granularity matters enormously. Averaged national statistics can hide the fact that emissions intensity varies widely between facilities, and that trade flows concentrate among specific producers and routes. By working at the level of actual factories and shipments, the authors could estimate not only how much carbon a coalition would save but also how production, prices, and government revenues would shift under different policy architectures.

One of the most consequential design questions the researchers examined is whether a coalition should impose a uniform carbon price on all members or adopt a graduated system that sets lower prices for lower-income countries. The distinction goes to the heart of why international climate negotiations so often stall. Countries differ greatly in their economic capacity and their willingness to impose carbon costs on their industries. A flat global price would be economically crushing for some developing economies and politically impossible to ratify, while a price too low to matter in wealthy nations would accomplish little. The comparison of these two approaches using real plant and trade data provides some of the most concrete evidence yet on how a tiered structure might perform.

The headline findings are striking. According to the authors, an initial coalition adopting this framework could reduce global greenhouse gas emissions by about one and a half percent, a substantial figure given that the policy covers only four sectors and would presumably begin with a limited set of founding members. Equally important, the analysis found that the approach would have relatively small effects on industrial production within member countries, limiting the carbon leakage that has long been the Achilles heel of unilateral climate action. And rather than being a pure fiscal burden, the system would generate nearly two hundred billion dollars in annual public revenue, resources that could be recycled into further decarbonization, compensation for affected workers, or climate finance for developing countries.

The revenue dimension deserves particular attention because it transforms the political economy of the proposal. Carbon pricing has repeatedly proven vulnerable to backlash when it is perceived purely as a cost imposed on households and industry. A scheme that raises on the order of two hundred billion dollars annually creates a visible pot of resources that governments can use to soften distributional impacts, fund technology deployment, and demonstrate tangible benefits. Combined with the border adjustment mechanism, which shields domestic industry from unfair competition, the coalition design attempts to align the self-interest of member governments with the collective goal of emission reduction, replacing the classic free-rider incentive with an incentive to join.

The authors argue that a tiered pricing system, when combined with technology sharing, climate finance, and capacity building, could allow lower-income countries to participate meaningfully while gradually strengthening their climate policies over time. In this vision, the coalition is not a static club with fixed membership obligations but a scalable structure. Countries could enter at a carbon price appropriate to their level of development and face a pathway toward stronger pricing as their economies grow and their industrial sectors mature. The border charges applied to nonmembers create a continuing economic incentive to join rather than remain outside, since participation relieves exporters of the import charges while granting access to the coalition’s technology and financial support.

In their concluding assessment, the authors write that a coalition marrying carbon pricing and trade policy offers a practical path at a fractious time and a pathway to overcome the international climate-policy coordination problem. In their words, it aligns incentives, builds on what countries are already doing, and replaces a race to the bottom with a race to the cleanest. That framing captures the strategic shift at the center of the proposal: instead of treating international climate cooperation as a prisoner’s dilemma in which every country is tempted to defect, the coalition model converts participation into a competitive advantage. Whether the approach can attract enough founding members to reach its projected emission reductions remains the open question, but the analysis suggests that the tools for breaking the carbon free-rider problem may already be within reach.

Subject of Research: International climate coalitions using carbon pricing and border adjustments to reduce heavy-industry emissions

Article Title: Can climate coalitions break the carbon “free-rider” problem?

Article References: Can climate coalitions break the carbon “free-rider” problem?. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: climate policy, carbon pricing, free-rider problem, carbon leakage, border carbon adjustment, heavy industry, iron and steel, cement, aluminum, fertilizers, international cooperation, climate finance

The timing of the work is no accident. As international climate diplomacy has advanced on the loss and damage agenda, mechanisms such as the Santiago Network and the Fund to Respond to Loss and Damage have been created to channel knowledge, technical support, and financing to affected countries. Yet a persistent bottleneck remains: before money can flow, losses must be quantified, and existing assessment methods are often slow, aggregated, and blind to the most vulnerable. The new framework, developed by researchers at the University of Cologne, United Nations University, and partner institutions, is built specifically to close that gap between disaster and decision.

At its core, the framework operates in two phases. The first is preparation before any disaster strikes. Through structured workshops, stakeholders from five groups—government, civil society, academia, the private sector, and nongovernmental or international organizations—jointly build a participatory asset inventory, identifying which buildings, roads, power lines, drainage systems, and informal settlements matter most, and estimating their replacement values. This inventory is then integrated into CLIMADA, an open-source climate risk modeling platform that combines hazard, exposure, and vulnerability. Asset-specific impact functions, which describe how each asset type responds to rising flood depth, are calibrated against historical damage records using techniques such as Bayesian optimization, so that the model is ready to run the moment a new event occurs.

The second phase springs into action after the floodwaters rise. Pre- and post-event satellite imagery is processed with change-detection algorithms, including those based on the normalized difference surface water index, to identify newly inundated areas. The resulting flood footprint—its extent and estimated depth—is overlaid on the pre-established asset inventory, and CLIMADA generates event-specific estimates of losses and damages within days. The framework draws a deliberate distinction between losses, meaning irreversible impacts such as fatalities or permanently destroyed assets, and damages, meaning repairable impacts. Quantitative thresholds separate the two: housing and public buildings are classified as lost when damage exceeds 80 percent, while roads cross into loss territory at 90 percent, a cutoff grounded in pavement condition research.

Satellite-based flood mapping, however, is far from straightforward, and the Honduran case study exposed the method’s limits in vivid detail. Persistent cloud cover rendered most optical imagery from Sentinel-2 and Landsat unusable, forcing the team to rely on Sentinel-1 synthetic aperture radar, which penetrates clouds and darkness. But radar has its own problems: in dense urban areas and vegetation, radar scattering and geometric distortions cause flood extents to be underestimated. The 9,100-hectare extent retrieved from Sentinel-1 was likely too small, and several locations documented as damaged in municipal reports fell outside the satellite-derived flood zones entirely.

The researchers responded with a hybrid, multi-source reconstruction. Radar and optical imagery were supplemented with hydraulic model simulations from the iPresas model, ground-based assessments, and municipal records. Where gaps remained along the banks of the Chotepe and Blanco rivers—zones where neither satellites nor the hydraulic model captured full inundation—the team manually added a 100-meter buffer guided by reported damage patterns. Flood depths were drawn primarily from the hydraulic model, with additional estimates from a United Nations University flood model where data were missing. The lesson, the authors argue, is that no single data source suffices; realistic flood footprints in data-scarce settings emerge only from weaving together observations, models, and local knowledge.

When the framework was applied retrospectively to San Pedro Sula, Honduras’ second-largest city and industrial heartland, the results were revealing. The city, which sits at the confluence of three rivers and hosts sprawling informal settlements such as Los Bordos along the Chotepe and Blanco riverbeds, bore the brunt of both storms: the Cortés department accounted for 55 percent of the nationally affected population and 40 percent of damaged housing. Modeled estimates generally ran higher than reported values, particularly in monetary terms, but unit-level impacts aligned reasonably well with observations. Most strikingly, the model’s estimate of fatalities—derived by applying a mortality fraction of one death per 3,000 exposed residents, based on a recent lower-middle-income country dataset—closely matched the 20 fatalities recorded by Honduras’ disaster agency, COPECO.

The disaggregation of impacts into losses and damages uncovered patterns that aggregate assessments conceal. Informal housing suffered the greatest physical destruction, with up to 80 percent of units in some flood-prone settlements estimated as irreparably damaged, a finding corroborated by displacement assessments from the International Organization for Migration even though official records never specified destroyed units. Formal housing, by contrast, lost fewer than 1.5 percent of units, yet absorbed 75 percent of its economic impact as losses, because the high replacement value of formal structures means that even limited destruction carries enormous financial weight. The airport incurred substantial economic losses from operational disruption without any single asset crossing the destruction threshold. These contrasts, the authors note, point to different policy responses: financial instruments such as insurance and contingency funds for high-value formal assets, and targeted social protection and infrastructure upgrades for marginalized settlements.

The framework also offers an entry point into one of the most contested corners of climate policy: non-economic losses and damages, the impacts that resist monetary valuation, from loss of life and cultural heritage to biodiversity and social cohesion. By estimating the number of people affected—defined as residents of housing units intersecting the flood footprint—and projecting fatalities, the model captures dimensions of disaster impact that pure economic accounting misses. The authors suggest the approach could be extended to affected users of public facilities, such as patients and students, and point to recent applications of CLIMADA in assessing tropical cyclone risks to ecosystems and modeling climate-driven internal migration as evidence of the platform’s broader potential.

Scalability may prove the framework’s most consequential feature. It relies entirely on open-source tools—CLIMADA, Google Earth Engine, OpenStreetMap, and freely available satellite data—meaning no proprietary software or expensive licenses stand between a disaster-stricken municipality and an evidence-based estimate. The main investment is upfront: building the participatory inventory, hazard model, and calibrated impact functions before disaster strikes. The San Pedro Sula case showed this groundwork paying off, since a 2019 joint workshop between the municipality and United Nations University had already produced the asset inventory, flood model, and impact functions that made rapid retrospective estimation possible. The authors caution that the framework complements rather than replaces field assessments, and that sensitivity analyses show classification thresholds matter—shifting the housing depth threshold by half a meter changes estimated losses by roughly 15 percent. But as climate diplomacy moves from pledges to payouts, the ability to produce transparent, spatially explicit, and community-informed estimates within days of a flood may prove exactly the tool the moment demands.

Subject of Research: A participatory modeling framework for rapid post-flood loss and damage estimation

Article Title: A Participatory Modeling Framework for Rapid Estimation of Loss and Damage Following Flood Disasters

Article References: Rojas Ferreira, A., Daou, D., Guayacán Ardila, L., Gersch-Souvignet, M., Braun, B., & Nehren, U. (2026). A Participatory Modeling Framework for Rapid Estimation of Loss and Damage Following Flood Disasters. International Journal of Disaster Risk Science. https://doi.org/10.1007/s13753-026-00771-5

Image Credits: AI Generated

DOI: 10.1007/s13753-026-00771-5

Keywords: loss and damage, floods, CLIMADA, participatory modeling, satellite remote sensing, disaster risk reduction, Hurricanes Eta and Iota, Honduras, San Pedro Sula, non-economic losses, climate finance, open-source modeling

The study, authored by Yixian Sun and Yitong Ye of the University of Bath, examines how Trump’s second-term anti-climate agenda is reconfiguring global climate governance and how different actors around the world are responding. Their central claim is that the architecture of global climate action has become polycentric, meaning that authority is distributed across many overlapping centers, including national governments, subnational states, cities, businesses, and transnational networks. Because no single actor, not even the world’s largest economy, dominates the system, the withdrawal of one major player cannot collapse the whole regime. The researchers compare this to a safety net: when one strand fails, the others hold the structure together.

The scale of the American retreat is nonetheless unprecedented. Unlike the first Trump administration, whose rollbacks were largely regulatory and reversible, the 2025 agenda targets structural foundations. Beyond the Paris exit, the administration suspended disbursement of tax credits and funds authorized under the Inflation Reduction Act, the largest public investment program in US history, which had mobilized roughly 370 billion dollars for renewable and zero-emission technologies. Federal policy has been reoriented toward expanding domestic oil, gas, and coal production under banners of energy dominance and economic security, deepening what the authors call the structural lock-in of a high-carbon economy.

The rollback has even extended to pressuring private climate action. In August 2025, 23 Republican state attorneys general sent a letter to the Science Based Targets initiative, a global standard-setter for corporate net zero commitments, demanding disclosures about its governance and membership on antitrust and consumer protection grounds. The researchers note that such threats from subnational governments to non-state climate initiatives are unprecedented and could deter US-based companies from pursuing decarbonization. Meanwhile, a 90-day freeze on foreign assistance and the closure of USAID terminated more than 150 climate-related contracts and grants worth roughly 1.2 billion dollars, while the administration rescinded 4 billion dollars previously pledged to the Green Climate Fund and withdrew from the Loss and Damage Fund.

These cuts strike hardest at developing countries, which have long relied on American finance to access clean technologies, build institutional capacity, and manage climate-induced losses. The authors frame this as a philosophical shift in US foreign policy, away from cooperative leadership based on providing global public goods and toward coercive influence exercised through punitive measures such as tariffs. In the Trumpist worldview, international commitments are constraints on American sovereignty, and climate finance is a zero-sum transaction that benefits other countries at America’s expense. The resulting trade tensions, particularly with China, the principal supplier of clean technologies, have raised costs for solar panels, batteries, and electric vehicles in the US market.

Yet the multilateral system has refused to buckle. No other member state has followed the United States out of the Paris Agreement. Instead, most countries have continued updating their Nationally Determined Contributions, the five-yearly pledges that form the treaty’s ratcheting mechanism. By early November 2025, 108 parties excluding the US had officially submitted their 2035 targets, together accounting for 65.3 percent of global emissions and 55.3 percent of the world’s population. In July 2025, China and the European Union jointly committed to submit enhanced 2035 pledges before the COP30 summit and to demonstrate shared leadership in advancing net zero transitions.

China’s announcement on 24 September 2025 was particularly consequential. President Xi Jinping pledged emission reductions of 7 to 10 percent below peak levels by 2035, an increase in non-fossil fuels to more than 30 percent of energy consumption, and an expansion of wind and solar capacity to over six times 2020 levels. Although analysts debate the ambition of these targets, it marks the first time China has promised an absolute cap on its greenhouse gas emissions, and the country may overperform given its current pace of clean energy deployment. Brazil, meanwhile, has pledged to cut emissions 59 to 67 percent below 2005 levels by 2035 and intends to use its COP30 presidency to keep global ambition aligned with the Paris goals.

Within the United States itself, subnational and non-state actors are sustaining momentum. Twenty-four states and territories have formed the US Climate Alliance, representing nearly 60 percent of the national economy, and have collectively reaffirmed a net zero target of reducing emissions 50 to 52 percent below 2005 levels by 2030. States such as California, Washington, and Massachusetts continue to operate renewable portfolio standards, cap-and-trade systems, and electric vehicle mandates. Even Republican-leaning Texas, the largest oil and gas producing state, has become a renewable powerhouse, holding more than 26 percent of US wind capacity in 2022 and attracting over 21 billion dollars in solar investment by early 2023. City networks like C40, which includes 14 major American cities, have pledged to remain bastions of climate progress, and the share of large US companies adopting net zero targets has continued to rise even during Trump’s second term.

Perhaps the most striking evidence of resilience comes from the Global South, where cheap solar technology is driving a consumer-led energy revolution. In Nigeria, savings from reduced diesel imports allow solar panels to pay for themselves within six months. In Sierra Leone, imported panels could generate electricity equivalent to 61 percent of the country’s 2023 output if fully installed. Pakistan recorded one of the fastest solar expansions in history by importing 16 gigawatts of panels during 2024 alone. With American climate finance gone, new funding sources are filling the gap, most notably China, which provided an estimated 3 billion dollars annually for developing country climate action between 2015 and 2021 and has pledged overseas green investments of up to 71.6 billion dollars, particularly through the Belt and Road Initiative since 2022.

The Bath researchers conclude that Trumpism has limited purchase on a polycentric system in which many actors have strong, increasingly economic incentives to decarbonize. Climate politics, they argue, is no longer primarily a collective action problem but a distributional one, with countries and firms competing for the benefits of clean energy markets. As climate impacts intensify and green technology costs fall, the actors positioned to gain from transition are strengthening their commitments rather than abandoning them. The long-term consequences of America’s retreat remain uncertain, and the damage to US decarbonization and to vulnerable countries is real. But the evidence assembled suggests that the global net zero machine, powered by major emitters, American states and cities, corporations, and Chinese capital, will keep turning regardless of what happens in Washington.

Subject of Research: The resilience of polycentric global climate governance under the second Trump administration's climate policy rollback

Article Title: Global climate governance remains resilient under Trump 2.0

Article References: Sun, Y., & Ye, Y. (2025). Global climate governance remains resilient under Trump 2.0. Global Public Policy and Governance, 5(4), 353-366. https://doi.org/10.1007/s43508-025-00131-x

Image Credits: AI Generated

DOI: 10.1007/s43508-025-00131-x

Keywords: climate governance, Paris Agreement, Trump administration, net zero, polycentricity, climate finance, China, Nationally Determined Contributions, US Climate Alliance, renewable energy, Global South, COP30

The conference was hosted by the Shidler College of Business at the University of Hawaii at Manoa and co-organized by China Finance Review International (CFRI), Modern Risk Society (MRS), and the Dishui Lake Advanced Institute of Finance at Shanghai University of Finance and Economics. This transpacific partnership reflects a broader trend in academic finance: the recognition that risk, in its many modern forms, does not respect national boundaries or disciplinary silos. The collaboration brought together journal editors, database providers, and research institutes from both sides of the Pacific, creating a forum in which methodological debates could unfold against the backdrop of a rapidly changing technological and environmental landscape. For many attendees, particularly early-career researchers, the event served as both a showcase and a matchmaking opportunity for future collaborations.

The scientific program opened with a pair of special panel discussions that confronted the practical challenges of applying artificial intelligence in financial research and practice. In the “Data, AI and Applications” roundtable, scholars Rui Dai of WRDS, Jian Chen of Fudan University, Mehmet Saglam of the University of Cincinnati, and Yuehua Tang of the University of Florida debated the boundaries of AI-enabled finance under the moderation of Xuanjuan Chen of the Dishui Lake Advanced Institute of Finance at Shanghai University of Finance and Economics. The discussion ranged from intelligent customer service systems to large-scale text mining, and the panelists converged on a point that resonates far beyond the conference hall: in core risk control areas, algorithms must still defer to professional judgment. The exchange captured a tension now running through the entire discipline, as machine learning tools demonstrate remarkable pattern-recognition capabilities while regulators and risk managers grapple with questions of accountability, interpretability, and model risk.

A second panel, titled “Let’s Talk AI,” shifted the spotlight to a younger generation of researchers. Jiakai Chen of the University of Hawaii, Eileen Zhang of Rutgers University, Bochen Li of Monmouth University, and Zhao Wang of Capital University of Economics and Business demonstrated the diverse possibilities of AI tools in cutting-edge financial research. Their presentations spanned the interpretation of Federal Reserve policy communications, the analysis of news narratives, and generative information extraction, illustrating how natural language processing and related techniques are transforming the raw material of financial economics. Where researchers once relied on coarse textual classifications or manually coded event studies, they can now parse central bank statements, earnings calls, and news flows at scale, extracting measures of sentiment, uncertainty, and narrative momentum that feed directly into asset pricing and risk models. The session offered a glimpse of a methodological shift that is reshaping empirical finance from the ground up.

The intellectual centerpiece of the opening day arrived with the keynote address. Hosted by Professor Qianqiu Liu, Chair of the Finance Department at the University of Hawaii, the keynote was delivered by Professor Torben G. Andersen of Northwestern University, one of the most influential figures in the empirical study of financial volatility. His talk, “Inference for Option-Implied Risk Measures,” tackled a deceptively simple problem with deep practical consequences: how to extract reliable risk measurements from option prices when those prices are contaminated by measurement error. Option-implied measures of risk are foundational to modern risk management, informing everything from value-at-risk calculations to stress testing and derivative pricing. Yet option markets are imperfect, and the errors embedded in observed prices can propagate through downstream estimates in ways that distort inference.

Andersen’s proposed solution is a new nonparametric estimation method that improves the handling of correlations across option pricing errors. The technical significance lies in what nonparametric approaches avoid: rather than imposing a rigid functional form on the relationship between option prices and underlying risk, the method lets the data speak while explicitly accounting for the error structure that contaminates observations. By modeling the cross-correlations of pricing errors more effectively, the approach yields risk measures with more reliable statistical properties, providing practitioners with a sturdier theoretical tool for risk management. For an audience steeped in the uncertainties of AI-driven markets and climate-exposed portfolios, the message was clear: even as finance embraces new technologies, the discipline’s progress still depends on rigorous measurement and careful inference at the most fundamental level.

The conference also served as a stage for honoring sustained excellence in risk research. At an awards ceremony hosted by Professor Wei Huang of the University of Hawaii, ten distinct honors were presented, including the Pacific-Basin Finance Journal Research Excellence Award, the Global Association of Risk Professionals Research Excellence Award, the China Finance Review International Research Excellence Award, the Asia-Pacific Journal of Risk and Insurance Research Excellence Award, the Sinofin CCER Database Research Excellence Award, and the Southwestern University of Finance and Economics Research Excellence Award. Modern Risk Society conferred its own slate of recognitions, among them the Edward Kane Memorial Research Excellence Award, the Contribution Award, the Distinguished Leadership Award, and the Lifetime Achievement Award. Professor Wenfeng Wu, Editor-in-Chief of CFRI and a faculty member at the Antai College of Economics and Management, Shanghai Jiao Tong University, presented the MRS Lifetime Achievement Award and the CFRI Research Excellence Award, underscoring the journal’s role in promoting interdisciplinary research on risk and finance.

Beyond the formal sessions, the conference cultivated the informal exchanges where collaborations are often born. An evening welcome reception at the Shidler College of Business set a relaxed tone in the Aloha atmosphere of Honolulu, and the following night the gathering moved to the Imin International Conference Center for the Presidents’ Reception. Amid the garden scenery of the University of Hawaii, attendees deepened their conversations over dinner, while a lucky draw featuring exclusive tickets designed and produced by CFRI added a moment of levity to the proceedings. These social rituals, easily dismissed as peripheral, perform a genuine scientific function: they lower the barriers between senior professors and doctoral students, between journal editors and authors, and between researchers from different national traditions, enabling the candid conversations that formal presentations rarely permit.

The parallel sessions of July 18 and 19 formed the analytical heart of the meeting. Across 64 sessions, the 199 presented papers ranged from subversive challenges to long-standing assumptions in financial economics to brave explorations of entirely new research paradigms. The heavy weighting of AI and climate topics was no accident. Artificial intelligence is simultaneously a subject of study, as markets adopt algorithmic trading and machine learning-based credit scoring, and a methodological instrument, as researchers deploy it to parse text, forecast volatility, and model complex dependencies. Climate finance, meanwhile, has moved from the margins to the mainstream as physical risks and transition risks reshape asset valuations, insurance markets, and regulatory frameworks. Many attendees remarked that the conference not only refreshed their thinking but also helped them find like-minded research partners, a testament to the organizing committee’s curation of the program.

The event also carried an institutional dimension. Throughout the three days, the CFRI journal team operated a booth at the venue, introducing the journal’s features, submission process, and recent key topics to participating scholars, distributing promotional materials, and inviting high-quality manuscripts. The team also visited the Shidler College of Business for a special meeting with Professor Qianqiu Liu, exchanging in-depth views on frontier research in finance, international academic cooperation, and journal co-development. CFRI, an English-language journal hosted by Antai College of Economics and Management at Shanghai Jiao Tong University and published by Emerald Publishing Group, has grown steadily since its founding in 2011 and is now indexed in more than twenty international databases, with a 2025 Impact Factor of 10.8. As the organizing committee closed the meeting with the message “Until next time, stay curious,” the gathering in Honolulu made a persuasive case that the study of risk, whether driven by algorithms or by a changing climate, has become one of the defining scientific projects of the decade.

Subject of Research: Artificial intelligence and climate risk in international financial research

Article Title: 2026 MRS International Risk Conference successfully concludes in Hawaii

Article References: 2026 MRS International Risk Conference successfully concludes in Hawaii. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: artificial intelligence, climate finance, climate risk, risk management, financial research, option-implied risk measures, machine learning, academic conference, China Finance Review International, University of Hawaii, text mining, volatility estimation

The research team, led by Mohammad Sharif Karimi and colleagues, assembled a balanced quarterly panel covering Australia, Belgium, Brazil, Canada, China, France, Germany, Greece, India, Italy, Japan, the Netherlands, South Korea, Spain, Sweden, the United Kingdom, and the United States. The dataset spans nearly fifteen years, deliberately capturing the period before and after the 2015 Paris Agreement, as well as a remarkable sequence of global disruptions: the COVID-19 pandemic, the Russia-Ukraine war, the 2023 to 2025 Middle East energy crisis, United States Federal Reserve interest rate cycles, and intensifying China-U.S. technological tensions. Each of these shocks rippled through energy markets, capital flows, and policy priorities, making the post-Paris era an unusually demanding testing ground for theories about what actually accelerates clean energy.

Methodologically, the study is notable for refusing to treat countries as interchangeable. Renewable energy investment is inherently path-dependent: wind farms and solar arrays take years to plan, finance, and build, regulatory frameworks change slowly, and technologies diffuse gradually across markets. To capture this inertia, the authors employed a family of heterogeneous dynamic panel estimators, including the Mean Group, Dynamic Mean Group, and Common Correlated Effects Mean Group approaches, each estimated country by country before averaging. They complemented these with a panel vector autoregression, a framework in which every variable is treated as jointly endogenous, allowing the researchers to trace how shocks to economic activity, oil prices, carbon prices, and green bond issuance propagate through the entire macro-energy-finance system over time.

The econometric diagnostics alone tell an important story. Standard tests decisively rejected cross-sectional independence in every specification, confirming that renewable energy dynamics in these seventeen economies are driven not only by domestic fundamentals but also by shared global forces: synchronized business cycles, internationally coordinated climate policies, cross-border capital flows, and the diffusion of clean technologies. This finding justified the use of second-generation panel methods that explicitly filter out unobserved common factors. The authors also confronted a practical data problem: roughly thirty percent of observations for green bond issuance and the global carbon price index were missing, particularly in earlier years and in countries with less developed sustainable finance markets. Missing values were reconstructed using a random forest procedure with predictive mean matching, and validation exercises in which twenty percent of observed values were withheld and re-estimated produced correlations between actual and reconstructed series exceeding 0.99, giving the team confidence that the imputation did not distort the results.

The headline empirical result concerns persistence. Across all dynamic specifications, the coefficient on lagged renewable energy activity ranged from roughly 0.32 to 0.49 and was always highly significant, indicating that today’s renewable output is strongly anchored to yesterday’s. Shocks to renewable energy activity dissipate only gradually, a signature of capital-intensive infrastructure, long planning horizons, and regulatory inertia. In practical terms, this means energy transitions are not instantaneous responses to policy announcements or price signals; they are slow-moving adjustments in which each gigawatt of installed capacity builds the foundation for the next. The finding reinforces a growing consensus that credible, long-horizon policy frameworks matter far more than short-term stimulus.

Economic activity emerged as the single strongest determinant of renewable deployment. In the Mean Group specifications, the estimated GDP elasticity ranged from approximately 1.39 to 2.99, meaning renewable energy activity responds more than proportionately to economic expansion. Sustained growth expands fiscal capacity, improves investment conditions, and increases a country’s absorptive capacity for clean technologies. The post-Paris Agreement indicator was also positive and significant in the Mean Group and Dynamic Mean Group models, suggesting that renewable activity was systematically higher after 2015, conditional on other factors. The authors are careful to note that this indicator captures the broader post-Paris climate policy environment, including evolving regulations, technological progress, and shifting investor expectations, rather than the isolated causal effect of the treaty itself. Strikingly, once the Common Correlated Effects estimator explicitly controlled for shared global influences, the post-Paris effect weakened considerably, implying that much of the post-2015 acceleration reflects globally coordinated dynamics rather than purely country-specific policy implementation.

Carbon market conditions delivered one of the study’s most policy-relevant findings. The global carbon index, which measures carbon-pricing conditions and broad market sentiment, was positively and significantly associated with renewable energy activity in the Mean Group and Dynamic Mean Group models. Stronger carbon prices raise the cost of carbon-intensive production and improve the relative profitability of clean alternatives, channeling investment toward renewables. This aligns with recent evidence from the European Union Emissions Trading System, where higher emissions prices in later trading phases were linked to greater renewable use and lower fossil fuel dependence. The effect again lost significance under the Common Correlated Effects estimator, suggesting that carbon pricing operates within a globally interconnected system in which coordinated policy developments and international market sentiment move all countries simultaneously.

The green bond result is the study’s most provocative. Across every specification, green bond issuance showed no statistically significant short-run effect on renewable energy deployment. The authors argue this is consistent with the long gestation of sustainable finance: bond proceeds must be allocated to eligible projects, which then require approval, construction, and grid connection before contributing a single megawatt-hour to the grid. Financing a large wind or solar facility may occur several quarters or even years before that facility generates measurable output. A weak short-run relationship, they caution, does not mean green bonds are ineffective; it means their benefits are realized through long-term infrastructure programmes whose effects emerge gradually. The finding echoes earlier cross-country research showing that green bond impacts on renewable generation vary by technology, stronger for wind, weaker for hydro, and were further muted during crisis periods such as the pandemic.

The panel vector autoregression added a dynamic layer to the picture. Positive innovations in economic activity and carbon pricing generated persistent increases in renewable energy in the impulse response functions, while oil price shocks produced short-run negative effects that dissipated over time. Notably, the negative oil price association should not be read as evidence against fossil fuel substitution; the authors interpret it as a macroeconomic channel in which high oil prices coincide with weaker activity, higher production costs, and reduced investment, all of which dampen renewable deployment. The system satisfied the eigenvalue stability condition, confirming that impulse responses converge, though the authors treat the vector autoregression as complementary reduced-form evidence rather than a structurally identified causal model, particularly given the high instrument count relative to the sample.

The policy implications are pointed. Because renewable energy deployment is so persistent, temporary or unstable policy measures are unlikely to yield lasting results; credibility and long-horizon consistency are paramount. Macroeconomic stability and growth strategies should be treated as integral to energy transition planning, especially in emerging economies where fiscal space and institutional quality determine whether clean technologies can be absorbed. Carbon pricing should be strengthened, broadened, and coordinated with renewable energy targets rather than deployed in isolation. And green bond markets, rather than being relied upon as standalone solutions, should be integrated into national climate strategies with stronger standards, transparency, and verification to guard against greenwashing. The study’s limitations are acknowledged: the sample excludes low-income and frontier economies, and the aggregate renewable measure does not distinguish solar from wind or hydro. Future work, the authors suggest, should examine technology-specific and region-specific responses, ideally with firm- and project-level data, to reveal how individual investments respond when climate pledges, carbon prices, and green capital converge.

Subject of Research: Determinants of renewable energy deployment, including climate commitments, green finance, and carbon markets, across advanced and emerging economies in the post-Paris Agreement era

Article Title: Climate commitments, green finance, and carbon markets' effect on renewable energy deployment in the post-Paris agreement era

Article References: Karimi, M. S., Si Mohammed, K., Esqueda, O. A., & Weerasinghe, N. M. (2026). Climate commitments, green finance, and carbon markets' effect on renewable energy deployment in the post-Paris agreement era. Environmental and Sustainability Indicators, 32, Article 101527. https://doi.org/10.1016/j.indic.2026.101527

Image Credits: AI Generated

DOI: 10.1016/j.indic.2026.101527

Keywords: renewable energy, Paris Agreement, green bonds, carbon markets, carbon pricing, green finance, energy transition, dynamic panel econometrics, panel VAR, climate policy, emissions trading, sustainable finance

The first of the two volumes, Climate Obstruction: How Denial, Delay and Inaction are Harming the Planet, was written by Kristian Ekberg, Bernhard Forchtner, Martin Hultman, and Kirsti Jylhä and published by Routledge in 2023. The book takes a distinctly social-scientific approach to the question of why humanity has failed to respond proportionately to decades of accumulated evidence about global warming. Rather than treating climate denial as a simple failure of information or a matter of individual psychology, the authors map a broader ecosystem of obstruction that includes organized denial, discourses of delay, and structural inaction, showing how these operate at different scales from corporate boardrooms and lobbying networks to media framing and everyday conversation.

That framing reflects an important conceptual shift that has taken place across the climate social sciences over the past decade. Early scholarship concentrated on outright denial of the scientific consensus, but researchers increasingly recognize that outright rejection of climate science is only one node in a much wider network of resistance. Delay discourses, such as appeals to economic cost, claims that technology will solve the problem on its own, deflection of responsibility onto individuals, and assertions that it is already too late to act, allow decision-makers to appear engaged while deferring substantive change. The book’s treatment of these mechanisms draws on environmental sociology, political science, and discourse studies, giving readers a multidisciplinary toolkit for recognizing obstruction wherever it appears, and for understanding why it has proven so durable even as the physical evidence of climate change has mounted.

The second volume under review takes the discussion from causes to consequences. North: The Future of Post-Climate America, by Jesse M. Keenan of Tulane University and published by Oxford University Press in 2025, examines what happens to a country when large portions of its territory become progressively harder to inhabit and invest in. Keenan’s analysis is grounded in the realities of real estate, finance, insurance, and regional planning, fields in which climate signals are no longer abstract projections but concrete line items. Rising flood risk, intensifying hurricanes, wildfire exposure, extreme heat, and water stress are already reshaping property values, insurance markets, mortgage lending, and municipal fiscal health across the United States, and the book asks where people, capital, and institutions will move as these pressures compound.

Keenan’s central provocation is the idea of a post-climate America: a future in which the geography of opportunity shifts decisively northward and inland as southern and coastal regions face escalating losses and costs. This is not a science-fiction scenario but a description of trends that are already measurable. Insurers have withdrawn from high-risk markets in California, Florida, and Louisiana. Homebuyers and lenders increasingly factor climate risk into pricing. Migration research suggests that movement within countries, driven partly by climate pressures, is already underway, even if most of it remains gradual and locally invisible. The book’s argument, as summarized in the review, is that planning for this redistribution is far preferable to stumbling into it, because unmanaged retreat tends to concentrate its harms on the households and communities with the fewest resources to relocate and rebuild.

Read together, the two books form a coherent narrative arc. The first explains how organized interests, ideological commitments, and institutional inertia combined to squander decades in which aggressive mitigation could have limited warming to less dangerous levels. The second describes the world that delay has made more likely, one in which adaptation is no longer optional and in which questions of justice, governance, and finance dominate the agenda. Smardon’s review places the volumes in the context of a rapidly growing literature on climate migration and obstruction, situating them among several other recent works that address the same terrain from complementary angles.

Among the adjacent titles the review references is Climate Obstruction: A Global Assessment, published by Oxford University Press in 2025 and authored by J. Timmons Roberts, Carlos R. S. Milani, Jacquelyn Jacquet, and Carl Downie. That volume broadens the analytical lens beyond the United States and Western Europe, documenting how obstruction operates in different political and economic systems around the world, including in emerging economies where development priorities and fossil fuel interests intersect in distinctive ways. Its appearance alongside the Ekberg and colleagues book underscores how the study of climate obstruction has matured from a niche concern of American environmental politics into a genuinely global research program with its own journals, conferences, and theoretical debates.

On the adaptation side, the review situates Keenan’s book among several recent analyses of climate-driven human mobility. Gaia Vince’s Nomad Century: How Climate Migration Will Reshape Our World, published by Macmillan in 2022, made a forceful popular case that large-scale migration is an inevitable feature of the coming century and that wealthy countries should prepare for and embrace it rather than fortify against it. Riley E. Dunlap-style empirical work on environmental attitudes finds a scholarly counterpart in Fred F. Spellman’s The Science of Climate Migration, published by CRC Press in 2023, which assembles the physical science underpinning projections of displacement, from sea-level rise and coastal erosion to drought and agricultural stress. Most recently, Robert A. McLeman, Kelly Best, and Kelsea Ober’s Migration and Displacement in a Changing Climate, published by Cambridge University Press in 2025, offers a systematic academic treatment of who moves, why, when, and with what consequences, drawing on decades of empirical migration research.

The technical substance connecting these works lies in the interaction between physical climate risk and human systems. Sea-level rise does not displace people mechanically; it does so through intermediate variables such as insurance affordability, infrastructure maintenance costs, agricultural yields, and labor demand. Similarly, obstruction does not operate through a single veto point but through the aggregation of countless small delays in legislation, permitting, investment, and public opinion. Understanding these cascades is the core technical contribution of this literature: it treats the climate crisis as a coupled system in which physics, economics, sociology, and politics continuously reshape one another, and it argues that interventions must therefore target the social and institutional linkages as deliberately as the atmospheric ones.

What emerges from the review is a sober but not hopeless message. The scholarship on obstruction is ultimately diagnostic: by naming the tactics of denial, delay, and inaction, it equips journalists, educators, policymakers, and citizens to recognize and counter them. The scholarship on adaptation and migration is ultimately prescriptive: it shows that the trajectory of a post-climate society is not fixed, and that choices made now about land use, insurance, infrastructure, social safety nets, and planned relocation will determine whether the northward redistribution of American life is orderly and just or chaotic and inequitable. For readers seeking a grounded introduction to both halves of the climate challenge, Smardon’s review suggests that these two books, read together, provide an unusually clear map of how we arrived at this impasse and where the road forward might still lead.

Subject of Research: A scholarly review of two recent books examining the social drivers of climate obstruction and the prospects for adaptation in a post-climate United States.

Article Title: Two books on climate obstruction and post climate adaption

Article References: Smardon, R. (2026). Two books on climate obstruction and post climate adaption. Journal of Environmental Studies and Sciences. https://doi.org/10.1007/s13412-026-01144-6

Image Credits: AI Generated

DOI: 10.1007/s13412-026-01144-6

Keywords: climate obstruction, climate denial, delay discourses, climate adaptation, climate migration, Jesse M. Keenan, North post-climate America, climate policy, planned retreat, environmental sociology, climate finance, Journal of Environmental Studies and Sciences

The core finding is stark: the frequency of hydrometeorological extremes in African cities is rising, driven by the combined forces of climate change and rapid, often unplanned urbanization. Climate change is intensifying the water cycle, producing heavier downpours when rain arrives and longer, hotter dry spells when it does not. At the same time, African cities are among the fastest growing in the world, with populations expanding into floodplains, wetlands and steep slopes that were once avoided precisely because of their vulnerability. The result is a dangerous collision between more frequent hazards and more people and assets placed directly in harm’s way.

From a technical standpoint, the mechanisms behind this escalation are well understood. Warmer atmospheric temperatures allow the air to hold more moisture, following the Clausius-Clapeyron relationship, which means that when convective storms trigger, they can release substantially more rainfall in shorter periods. In tropical and subtropical African cities, much of the annual precipitation falls in intense convective events, so this thermodynamic amplification translates directly into flash flood risk. Conversely, shifting rainfall regimes and rising evaporative demand extend dry seasons, deplete reservoirs and stress groundwater systems, deepening drought conditions that cascade into food and water insecurity for urban populations dependent on fragile supply chains.

Urbanization compounds these climatic drivers in ways that are particularly severe in African contexts. Impermeable surfaces, informal settlements with inadequate drainage, and the loss of natural buffers such as wetlands and urban forests all reduce the capacity of city landscapes to absorb and convey water. Many African cities rely on drainage infrastructure designed decades ago, or never designed at all, for rainfall intensities that are now routinely exceeded. When extreme rain falls on such landscapes, runoff concentrates quickly, overwhelms channels and inundates low-lying neighborhoods, which are disproportionately occupied by low-income households with limited capacity to prepare, respond or recover.

The research emphasizes that the impacts are deeply unequal. Informal settlements, which house a large and growing share of urban Africans, typically lack formal drainage, secure tenure, insurance and reliable early warning. Residents of these areas face recurring property loss, waterborne disease outbreaks following floods, and chronic water scarcity during droughts. Women, children, the elderly and those working in the informal economy bear a disproportionate share of the burden. The study stresses that hydrometeorological extremes are therefore not only a physical science problem but a question of social justice, and that adaptation policies which ignore this distributional reality risk reinforcing the very vulnerabilities they aim to reduce.

Despite the escalating risk, the authors find that adaptation in African cities remains fragmented, underfunded and often reactive. Responses tend to follow disasters rather than anticipate them, with resources mobilized after lives have already been lost. Formal adaptation planning exists in many countries, frequently in the form of National Adaptation Plans submitted under the United Nations Framework Convention on Climate Change, but implementation at the city scale lags far behind. Municipal governments, which are on the front line of flood defense, drainage maintenance and emergency response, often lack the technical capacity, data, mandates and budgets to translate national commitments into local action.

A central argument of the paper is that effective adaptation must be grounded in better information. Many African cities operate with sparse hydrological and meteorological observation networks, short historical records and limited downscaled climate projections, making it difficult to quantify risk or design infrastructure to appropriate standards. The authors call for expanded investment in observation systems, early warning services and open climate data, alongside the use of modern modeling tools that can capture the small-scale convective storms and urban flooding processes most relevant to city decision-makers. Improved risk mapping, they argue, is a prerequisite for prioritizing investments and protecting the most exposed communities first.

The study also highlights the potential of combining engineered and nature-based solutions. Upgraded drainage, flood barriers and resilient water supply systems remain essential, but restoring wetlands, protecting urban green space, adopting permeable surfaces and implementing sustainable urban drainage can reduce flood peaks, cool overheated neighborhoods and recharge aquifers simultaneously. Such approaches are often cheaper to maintain than hard infrastructure and deliver co-benefits for health, biodiversity and livelihoods. Equally important, the authors point to the value of integrating local and indigenous knowledge with scientific assessment, and of involving residents of informal settlements directly in the design and governance of adaptation measures, since community-led initiatives have repeatedly proven more durable than top-down interventions.

Finance emerges as a persistent bottleneck. African cities receive only a small fraction of global climate finance, and what does arrive is often channeled through national governments with limited reach to municipal level. The paper argues that closing the adaptation gap will require new funding mechanisms that flow directly to cities, support for municipal creditworthiness, and blending of public, private and international resources. It also warns that the cost of inaction is rising: every year without effective adaptation increases future losses, damages and displacement, making delayed investment far more expensive than timely prevention.

Ultimately, the research delivers both a warning and a roadmap. The warning is that hydrometeorological extremes will continue to intensify across African cities, threatening lives, livelihoods and hard-won development gains if current trajectories persist. The roadmap is a comprehensive adaptation agenda: invest in data and early warning, upgrade and diversify infrastructure, embrace nature-based solutions, embed equity in planning, strengthen municipal institutions and unlock sustained finance. The authors conclude that with decisive action, African cities can transform mounting climate risk into an opportunity to build safer, fairer and more sustainable urban futures, but that this transformation must begin now, before the next extreme arrives.

Subject of Research: Rising hydrometeorological extremes in African cities and the need for effective urban climate adaptation

Article Title: Growing occurrence of hydrometeorological extremes in African cities and the urge for effective adaptation

Article References: Salhi, A., Pérez-Cutillas, P., & Heggy, E. (2026). Growing occurrence of hydrometeorological extremes in African cities and the urge for effective adaptation. npj Urban Sustainability. https://doi.org/10.1038/s42949-026-00475-1

Image Credits: AI Generated

DOI: 10.1038/s42949-026-00475-1

Keywords: hydrometeorological extremes, African cities, urban flooding, drought, climate adaptation, urbanization, informal settlements, early warning systems, nature-based solutions, climate finance, urban sustainability, Growing