Abstract
Within moderation, wildfires play a crucial role in enhancing ecological synergies. The escalating severity and duration of wildfires generate a local and national state of crisis. Wildfires exponentially and simultaneously worsen local and global climate change. This paper will review the literature on the positive feedback loop demonstrated between climate change and Canadian wildfires. Four primary factors influence wildfire activity: weather and climate, ignition agents, fuel, and human activities. Wildfires deteriorate physical and chemical properties of nationwide topography, soil system, and hydrological cycle. The vegetation destroyed by wildfires further exacerbates climate change. This paper encompasses the natural and strategic control measures implemented to regulate and remediate wildfire activity. Ecosystems may naturally facilitate both climate change and wildfire mediation and prevention if biodiversity is preserved. Wildfire management expenses, which corresponds with climate change management expenses, ranged from $800 million to $1.4 billion annually over the previous decade. The perpetuating advancement in wildfire severity presents unpredictability and difficulty to anticipate future costs (Government of Canada, 2024a). Direct or indirect management is implemented based on the magnitude of the wildfire.

Abstract
Contrary to much of the conventional wisdom, taking stronger actions on climate change may enhance economic growth, even as conventionally measured, but even more so, in terms of societal well-being. We identify the flaws in the models and analyses which contend that there must be a trade-off and explain the mechanisms and dynamic forces which have the potential to enhance growth. Critically, there are numerous market failures that result in suboptimal economic performance. We explain how addressing climate change reduces the bite of these failures and enhances the incentives and political will to address them. We identify packages of policies that alleviate market failures, enhance growth, and reduce carbon emissions. Finally, we argue that the green transition is coming at a time when, both because of persistent deficiencies of aggregate demand and advances in technology, including artificial intelligence and robotization, the macroeconomic opportunity costs of strong climate actions may be especially low and the benefits particularly high.

Abstract
The aim of this perspective is to argue that carbon pricing is not unjust. Two important dimensions of justice are distributive and procedural (sometimes called “participatory”) justice. In terms of distributive justice, it is argued that carbon pricing can be made distributionally just through revenue recycling and that it should be expected that even neutral reductions in emissions will generate progressive benefits, both internationally and regionally. In terms of procedural justice, it is argued that carbon pricing is in principle compatible with any procedure; however, there is also a particular morally justifiable procedure, the Citizens’ Assembly, which has been implemented in Ireland on this precise question and has generated broad agreement on carbon pricing. It is suggested that this morally matters because such groups are like “ideal advisors” that offer morally important advice. Finally, an independent objection is offered to some ambitious alternatives to carbon pricing like Green New Deal-type frameworks, frameworks that aim to simultaneously tackle multiple social challenges. The objection is that these will take too long to work in a climate context, both to develop and to iterate.

Abstract
Many countries have recently announced the ambition to reach net-zero emissions targets. Here we explore the climate and energy transition impacts of the following strategies using the IMAGE integrated assessment model: 1) implementing the pledged 2030 targets and net-zero targets, 2) aligning the 2030 emission targets with the net-zero targets, 3) broadening the coalition of net-zero countries, and 4) strengthening the net-zero pledges by bringing them forward in time. The results illustrate that each step could accelerate the low-carbon transition by building on existing elements in international climate policy. Our study shows that the gap between a continuation of current emission trends and a Paris-aligned 1.5 °C target can be reduced by about 90% by 2100. This provides a pathway to bring the Paris Agreement climate goals within reach.

Abstract
To be able to fulfil the Paris Climate Agreement and keep global warming with reasonable confidence at a maximum of 1.5 °C above pre-industrial levels, Germany must set an end to all greenhouse gas emissions by 2030. At the core of this task is the switch to 100% renewables across all sectors on the same time horizon. Conventional technologies fueled by fossil and nuclear energies are, according to the vast majority of current cost calculations, energetically inefficient, too expensive, and too slow in expansion to be able to deliver a substantial contribution to rapid climate protection. We present the first comprehensive energy scenario that shows the way to 100% renewable energy for all energy sectors by 2030. The result of the calculations is a cost-effective energy system that is compatible with the German share of necessary greenhouse gas reduction. This study shows a target system of generation, conversion, and storage technologies that can achieve the transformation to 100% renewable energy in all energy sectors—electricity, heat, and mobility—in time and at competitive costs below the costs of the current system. Moreover, we demonstrate the huge cost effect that arises if southern Germany renounces its onshore wind resources and find that this would substantially increase the need for high-voltage direct-current transmission capacity.

Abstract
Recent evidence shows that carbon emissions in China are likely to peak ahead of 2030. However, the social and economic impacts of such an early carbon peak have rarely been assessed. Here we focus on the economic costs and health benefits of different carbon mitigation pathways, considering both possible socio-economic futures and varying ambitions of climate policies. We find that an early peak before 2030 in line with the 1.5 °C target could avoid ~118,000 and ~614,000 PM2.5 attributable deaths under the Shared Socioeconomic Pathway 1, in 2030 and 2050, respectively. Under the 2 °C target, carbon mitigation costs could be more than offset by health co-benefits in 2050, bringing a net benefit of $393–$3,017 billion (in 2017 USD value). This study not only provides insight into potential health benefits of an early peak in China, but also suggests that similar benefits may result from more ambitious climate targets in other countries.

Abstract
Ideal carbon tax policy is internationally coordinated, fully internalizes externalities, redistributes revenues to those harmed, and is politically acceptable, generating predictable market signals. Since nonideal circumstances rarely allow all these conditions to be met, moral issues arise. This paper surveys some of the work in moral philosophy responding to several of these issues. First, it discusses the moral drivers for estimates of the social cost of carbon. Second, it explains how national self-interest can block climate action and suggests international policies—carbon border tax adjustments and carbon clubs—that can help address these concerns. Third, it introduces some of the social science literature about the political acceptability of carbon taxes before addressing a couple common public concerns about carbon taxes. Finally, it introduces four carbon revenue usage options, arguing that redistributive and climate compensation measures are most morally justified.

Abstract
The continued rise in global carbon dioxide (CO2) emissions challenges international climate policy, particularly the goals of the Paris Agreement. This study forecasts emissions through 2030 for the eleven highest-emitting nations–China, the United States, India, Russia, Japan, Iran, Indonesia, Saudi Arabia, Canada, South Korea, and Germany–while assessing their progress toward Nationally Determined Contributions (NDCs). Using data from 1990 to 2023, we apply a robust data pipeline comprised of six machine learning models and sequential squeeze feature selection incorporating eleven economic, industrial, and energy consumption variables. We have modelled the scenario with an average prediction accuracy of 96.21%. Results indicate that Russia is on track to exceed its reduction targets, while Germany and the United States will fall slightly short. China, India, Japan, Canada, South Korea, and Indonesia are projected to miss their commitments by significant margins. At the same time, Iran and Saudi Arabia are expected to increase emissions rather than reduce them. These findings highlight the need for strengthened energy efficiency policies, expanded renewable energy adoption, enhanced carbon pricing mechanisms, and stricter regulatory enforcement. Emerging economies require international collaboration and investment to support low-carbon transitions. This study provides a data-driven assessment of emission trajectories, emphasizing the urgency of coordinated global action, technological innovation, and adaptive policy measures to align emissions with the 1.5ºC warming threshold. This work represents a novel integration of multivariate machine learning modelling, data-driven feature selection, and policy-oriented emission forecasts, establishing new methodological and empirical benchmarks in climate analytics.

Abstract
Climate change is an ongoing and escalating health emergency. It threatens the health and wellbeing of billions of people, through extreme weather events, displacement, food insecurity, pathogenic diseases, societal destabilisation, and armed conflict. Climate change dwarfs all other challenges studied by health psychologists. The greenhouse gas emissions driving climate change disproportionately originate from the actions of wealthy populations in the Global North and are tied to excessive energy use and overconsumption driven by the pursuit of economic growth. Addressing this crisis requires significant societal transformations and individual behaviour change. Most of these changes will benefit not only the stability of the climate but will yield significant public health co-benefits. Because of their unique expertise and skills, health psychologists are urgently needed in crafting climate change mitigation responses. We propose specific ways in which health psychologists at all career stages can contribute, within the spheres of research, teaching, and policy making, and within organisations and as private citizens. As health psychologists, we cannot sit back and leave climate change to climate scientists. Climate change is a health emergency that results from human behaviour; hence it is in our power and responsibility to address it.

Abstract
Driven by the urgent need to mitigate climate change and achieve net-zero emissions, carbon pricing has emerged as a critical policy tool in major economies worldwide. This study compares carbon pricing in the EU, China, Canada, and Singapore, evaluating effectiveness in emission reductions, with the EU ranking first with high carbon prices, road market coverage, and strict penalties, based on carbon price per capita. Conversely, Singapore’s position as fourth in carbon price per capita among these four most mature carbon markets, Singapore has a high GDP per capita and lower carbon prices. Canada’s fragmented provincial policies and China’s limited market coverage, despite being the top global emitter. Our analysis reveals three critical success factors: (1) higher carbon prices per capita are essential for carbon reduction, (2) the necessity of penalties on carbon price per capita from EUR 20–EUR 100, and (3) expanded market coverage maximizes impact. To address global disparities, we propose a Uniform Carbon Pricing Mechanism under the Global Carbon Resilience Framework (GCRF), based on carbon price per capita tiered pricing: EUR 100/t (developed), EUR 30–50 (developing), and EUR 5–15 (least-developed countries). This balanced system supports vulnerable regions while cutting emissions, proving that fair carbon pricing is crucial for climate goals and economic stability.

Abstract
Carbon pricing is a key component of current climate policy agendas. There are a variety of societal and health impacts from carbon pricing interventions (e.g. from improved air quality). A better understanding of potential health impacts and how they depend on context and policy design is crucial to improve the political feasibility and fairness of carbon pricing. Recent reviews have synthesized evidence on the effectiveness, equity and perceptions of carbon pricing and on the health co-benefits of mitigation. This review provides a narrative structured synthesis of the health impacts of carbon pricing. We identified 58 relevant publications of which all were modelling studies. We classify review findings into policy-relevant categories, synthesizing information on how carbon pricing affects health outcomes when implemented in different contexts, in isolation or as part of policy mixes. Findings suggest that internalization of health co-benefits in optimal price level estimates could lead to substantial mitigation in some regions. There are also opportunities to design carbon pricing to improve health outcomes, including through progressive or targeted use of revenues to improve food security, subsidize healthier diets or promote active transportation. Revenue use, price differentiation, market size and permit allocation of emissions trading schemes (ETS), and interaction with other public health or mitigation policies all influence health outcomes. Overall, the health impacts of carbon pricing are highly context-specific and further evidence is needed, particularly on health inequalities and ex-post analysis. However, existing evidence suggests that it is possible to design health-beneficial carbon pricing policies, thus enhancing policy acceptability and feasibility.