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The sequential rollout of diverse climate policies by national and local governing bodies has sparked a series of concerns regarding their efficacy and long-term impact. These policies function either as constraints or incentives within the carbon market eco-trading system. This study aims to bridge gaps in quantitative analysis of climate policy interactions by employing the Stackelberg game model to explore various policy mix and their impacts on both national and regional conditions. It explored the effects of seven types of policy packages (including reduction targets, free allowance allocations, guideline prices, and their mixed scenarios) on regional and national economic growth and decarbonization targets. Moreover, fine-grained example analyses based on China's carbon markets were used to capture these win-win signals. The results show that: (1) when accounting for regional disparities, a waterbed effect emerges, implying that no scenario can simultaneously achieve both accelerated net profit growth and significant emission reductions across all regions. (2) Interactions among climate policies may yield strengthening, overlapping, or weakening effects compared to the business- as -usual scenario. However, it is crucial to note that these effects typically exhibit an inverse relationship between net profit growth and emission reductions. (3) Carbon trading prices act as public signals that assist policymakers in determining the Stackelberg-Nash equilibrium points to pursue optimized net profits under emission constraints. Hence, policymakers are encouraged to embrace comprehensive, sustainable solutions, ensuring ongoing monitoring and timely policy adaptations that strike a balance between economic growth and emission reduction regarding regional disparities. • Climate policies interact, causing strengthening, overlapping, or weakening effects. • Carbon trading prices play as public signals in the process behind the game. • Total net profit growth entails emission increases or exacerbating regional inequality. [ABSTRACT FROM AUTHOR]

• Emission offshoring does not account for emission reductions in advanced economies. • Most advanced economies onshore more carbon emissions than they offshore emissions. • The USA net offshores emissions while China net onshores emissions. • Per-capita income does not predict which country specializes in green products. International trade and emission offshoring can reduce a country's domestic carbon dioxide emissions, helping it to reach emission reduction targets set under the prevailing territorial climate policy frameworks. We ask what is the net contribution of trade to national production-based emissions. Existing metrics (consumption-based emissions and the technology-adjusted balance of emissions embodied in trade) do not answer this question. Based on global multi-regional input-output tables and the domestic technology assumption, we calculate net emission onshoring as the difference between the emissions embodied in gross exports (onshoring) and the emissions avoided by gross imports (offshoring) for 43 countries between 2000–2014. We find that the USA offshores emissions and China onshores emissions; the aggregate trade balance explains this result while the trade composition plays a negligible role in either country. In general there is no cross-country relationship between net offshoring and per-capita income, and neither one between trade specialization in emission-intensive products and per-capita income. The developed countries' absolute decoupling of economic growth and production-based emissions since 2000 is "genuine" in the sense that it reflects domestic economic developments and is not owed to emission offshoring. [ABSTRACT FROM AUTHOR]

The use of command-and-control target policies for climate governance is crucial in achieving China's "dual carbon" goals. We investigate the impact of multi-target policy on county-level carbon emissions, using the generalized difference-in-differences model for the gradual implementation at different phases of multiple policies. We find that the Carbon Intensity Reduction Target (CIRT) and Total Energy Consumption Target (TECT) policies promote carbon reduction, while the Energy Intensity Reduction Target (EIRT) policy has less reliable outcomes. In the eastern and central regions, the initial phase of carbon reduction is primarily propelled by the EIRT policy, subsequently transitioning to the dominant influence of the CIRT policy. In the later phase, carbon reduction in the eastern region is predominantly attributed to the CIRT policy, whereas in the central region, it results from the combined effects of the EIRT, CIRT, and TECT policies. In the western region, early policies have an insignificant impact on carbon reduction, and the later-phase effects shift from being primarily influenced by the EIRT to being predominantly influenced by the CIRT. Additionally, neglecting the impact of other policies with similar targets during the same period may lead to overestimation of the effects of EIRT and TECT and underestimation of the effect of CIRT. • Command-and-control target policies are crucial for China's "dual carbon" goals. • The effectiveness of climate policies varies by timing and region. • Carbon intensity reduction targets consistently reduce emissions. • Combining multiple policies effectively cuts carbon emissions. [ABSTRACT FROM AUTHOR]

In 2022, Saudi Arabia's anthropogenic greenhouse gas emissions amounted to 810 million tons of CO 2 e. The country has pledged to cut its emissions by 278 million tons of CO 2 e per year by 2030. This paper contributes a modeling view on the climate-related effects of various energy policies on the Saudi energy system. We use an energy system model designed to represent seven sectors in the Saudi economy. In addition to a baseline, which entails the continuation of current domestic policies, we look at a scenario that incorporates some of the plans announced by the Saudi government. We also examine the baseline scenario with a cap on total CO 2 emissions equal to those exhibited with the announced plans. The model then makes the necessary decisions to abate CO 2. We find that the energy system contributes 130 million tons of CO 2 e to the nationally determined contribution amount in 2030. Also, a non-prescriptive scenario that caps energy-system CO 2 emissions produces the same emissions reductions as the announced plans while lowering the present cost by 2030 by $70 billion. The corresponding implicit marginal abatement cost of CO 2 approaches 35 $/tonCO 2 by 2045. This cost would displace around half of crude and fuel oil use in the Saudi energy system. • Saudi Arabia plans to cut annual greenhouse gas emissions by 278 million tonsCO 2 e. • We use a multi-sector model built from the ground up for Saudi Arabia. • The energy system can contribute 130 million tons of CO 2 e in reductions in 2030. • We find a scenario that achieves GHG abatement at a lower cost than official plans. • The marginal value attributed to CO 2 approaches 35 $ per tonCO 2 by 2045. [ABSTRACT FROM AUTHOR]

Climate policy is urgently needed to reduce emissions, but must also be evaluated in regard to its impact on human quality of life. To identify policy approaches that are able to achieve effective mitigation together with high levels of well-being, multiple human needs must be taken into account. To this end, we present an agent-based model that is able to describe the interaction between various economic sectors on the supply-side and individuals with heterogeneous incomes and needs on the demand-side. Individuals make choices under both income and time constraints; the latter being needed for non-market activities and time-intensive forms of consumption such as low-carbon modes of transport. The following climate policy instruments are considered: a carbon tax, permit trading, direct regulation, and investments in low-carbon infrastructure. Impacts are analyzed in regard to three different types of mitigation: avoid, shift, and improve. Results show that to achieve emission reductions together with high levels of well-being, carbon pricing is best combined with effective improvements of low-carbon infrastructure; revenue recycling should be progressive; and unnecessary abatement costs should be avoided. A comparison is provided with traditional formulations of social welfare. • An agent-based model with multiple sectors and human needs is presented. • Carbon pricing with progressive revenue recycling can improve well-being outcomes. • Carbon pricing can be enhanced through investments in low-carbon infrastructure. • Windfall profits and unnecessary abatement costs should be avoided. • Our approach resembles traditional social welfare analysis with a CES function. [ABSTRACT FROM AUTHOR]

Sub-Saharan Africa is a region with a large population living without electricity. This study investigates the grid balancing role of bioenergy in a sub-Saharan Africa's fully renewable power sector to address the energy poverty challenge in the region, using Ghana as a case country. Two methods are employed: the bioenergy estimation method, for deriving Ghana's technical bioenergy potential, and the LUT model, for the power sector transition modelling. The Ghanaian bioenergy potential of 48.3 TWh is applied on the power sector using the LUT model to develop six alternative scenarios, emphasising on the role of bioenergy, greenhouse gas emissions costs, and climate change mitigation policies. The results of the Best Policy Scenario reveal that with an electrical efficiency of 37.2%, 18 TWh of electricity, which is 16.9% of Ghana's electricity demand by 2050, could be produced from bioenergy for grid balancing. Also, the levelised cost of electricity declines from 48.7 €/MW in 2015 to 36.9–46.6 €/MWh in 2050. Whereas the cost of electricity increases to 76.4 €/MWh in the Current Policy Scenario without greenhouse gas emissions costs. The results show the viability of a relatively cheap and bioenergy balanced sustainable renewable power system for the sub-Saharan African region. • The role of modern bioenergy is examined in renewable energy (RE) dominated power systems. • A comprehensive bioenergy potential assessment for the case of Ghana is presented. • Bioenergy provides flexibility in hybrid solar PV-battery dominated power systems. • Levelised cost of electricity for 100% RE ranges from 37 - 46.6 €/MWh in 2050. • Sustainable modern bioenergy contribution in power systems substantially reduces system costs. [ABSTRACT FROM AUTHOR]

Climate change poses an enormous challenge to countries across the world. News is a crucial channel to draw society's attention to this issue and strengthen climate governance initiatives, such as carbon emission reduction. The aim of this research was to investigate the effects of carbon-related news on carbon emissions and carbon transfer. First, we analyzed the topics of carbon-related news from media outlets such as ABC , CNN , and The Guardian from 2009 to 2019. Then, we calculated the carbon emissions from both production- and consumption-based perspectives and constructed the carbon transfer network of major countries around the world. Finally, we examined the direct and lag effects of carbon-related news attention and contents on carbon emissions and carbon transfer by using the extended population, affluence, and technology (STIRPAT) model as the analytical framework. The results showed the following. First, countries are paying increasing attention to carbon-related issues with the rise of global carbon emissions, and they mainly focus on the social aspects of carbon emissions. Second, there are differences in production- and consumption-based carbon emissions by country. The amount of embodied carbon transfer between countries has increased over time and the carbon transfer network has become tighter. Finally, carbon-related news has a positive impact on improving carbon emissions and carbon transfer worldwide. Different news topics have also shown varying effects on carbon emissions and carbon transfer. In summary, this study further revealed the impacts of carbon-related news on carbon emissions and transfer and accordingly provided policy implications in carbon emission reduction for the government. • The evolution of carbon-related news topics are analyzed. • The effects of carbon-related news on carbon emissions and carbon transfer are investigated. • Carbon-related news has a positive impact on improving carbon emissions and carbon transfer worldwide. • Different news topics have led to different effects on carbon emissions and carbon transfer. [ABSTRACT FROM AUTHOR]

In this paper, a demand-driven growth model is used to explore climate change scenarios faced by the South African economy. The focus is on key macroeconomic variables including employment, productivity, income distribution, trade, and fiscal balances. Results show that emission reduction alone will not put South Africa on a sustainable and equitable growth path. Expansionary macroeconomic policies are necessary. We show that, under sufficient global mitigation, expansionary fiscal and monetary policies lead to faster output and productivity growth, higher employment, and lower inequality. By contrast, macroeconomic tightening or "free riding" on global emission reduction lead to inferior outcomes, putting sustainable development out of reach. [ABSTRACT FROM AUTHOR]

Combatting climate change has risen to the top of the international policy discourse. Effective governance necessitates the generation of concise information on the costs-effectiveness of policy instruments aimed at reducing atmospheric greenhouse gas (GHG) emissions. The marginal abatement cost curve (MACC) approach is a framework commonly used to summarise information of potential mitigation effort, and can help in identifying the most cost-effective managerial and technological GHG mitigation options. Agriculture offers key opportunities to mitigate GHG emissions and utilise carbon (C) sink potentials. Therefore, a number of countries have developed national agricultural MACCs in the last decade. Whilst these MACCs have undoubtedly been catalysers for the information exchange between science and policy, they have also accentuated a range of constraints and limitations. In response, each of the scientific teams developed solutions in an attempt to address one or more of these limitations. These solutions represent ‘lessons learned’ which are invaluable for the development of future MACCs. To consolidate and harness this knowledge that has heretofore been dispersed across countries, this paper reviews the engineering agricultural MACCs developed in European countries. We collate the state-of-the-art, review the lessons learnt, and provide a more coherent framework for countries or research groups embarking on a trajectory to develop an agricultural MACC that assesses mitigations both within the farm gate and to the wider bioeconomy. We highlight the contemporary methodological developments, specifically on 1) the emergence of stratified MACCs; 2) accounting for soil carbon sequestration 3) accounting for upstream and downstream emissions; 4) the development of comprehensive cost-calculations; 5) accounting for environmental co-effects and 6) uncertainty analyses. We subsequently discuss how the mitigation potential summarised by MACCs can be incentivised in practice and how this mitigation can be captured in national inventories. We conclude that the main purpose of engineering MACCs is not necessarily the accurate prediction of the total abatement potential and associated costs, but rather the provision of a coherent forum for the complex discussions surrounding agricultural GHG mitigation, and to visualise opportunities and low-hanging fruit in a single graphic and manuscript. [ABSTRACT FROM AUTHOR]

The European Green Deal aims to put the EU on track towards climate neutrality by 2050. One of the key elements is a more stringent greenhouse gas emission reduction target of 55% below 1990 levels by 2030. We analyse the socio-economic consequences of alternative policy pathways to reach that target, either relying more on regulatory standards, on carbon pricing, or a mix of both. We develop a modelling framework that captures macro-economic and sectoral impacts and closely aligns economic and energy system modelling. We further decompose aggregate labour market outcomes into skill and occupation types, and downscale representative household results to micro-level household data to evaluate the distributional effects across income groups with heterogeneous expenditure patterns. By combining models and datasets, our framework enables incorporating a high degree of technological detail while revealing socio-economic aspects of the transition that may go unnoticed in coarse, aggregate assessments. In particular, our results highlight the heterogeneous impacts of climate policy across sectors, worker skill types and income groups, which may require particular attention in climate policy design and corresponding complementary measures to ensure a fair transition to a low-carbon economy. • We assess different policy packages to achieve stricter EU 2030 climate targets. • A framework for climate policy assessment needs to be both broad and detailed. • We develop such a framework by linking energy models with economic models and data. • We downscale aggregate results for labour markets and household consumption. • Results illustrate model uncertainty and policy design potential to alter outcomes. [ABSTRACT FROM AUTHOR]

Finance has become a crucial agenda in climate change negotiations in recent years. Meanwhile, multilateral negotiations on climate change as a whole are making meager progress, and increasingly observed are activities by national governments and transnational non-state actors. The purpose of this paper is to illustrate how investment towards low-carbon development could be materialized in Asia. A thorough review of current financial assistance for developing countries in Asia was conducted, and the amount of funding proved to be relatively modest to achieve the aim. We then examined financial policy instruments that could be implemented in the region. We estimated that USD125–149 billion per year would be needed to reduce greenhouse gas emissions in the region by 2035. We also estimated that more than a half of this amount of funding could be achieved by public sector if several key policy instruments were agreed upon and enacted at regional and national levels in Asia. The role of private sector investment was also found to be indispensable in fulfilling all the long-term investment needs related to climate mitigation in the region. [ABSTRACT FROM AUTHOR]

• We investigate the link between investment in renewable energy technologies on environmental quality. • Our methodological approach utilises an interactive-fixed effects model to deal with endogeneity issues. • Our findings show that R&D investment in renewables has a significant positive effect on environmental quality. In this paper, we investigate the impact of public investment in R&D in renewable energy technologies on environmental quality using a spectrum of environmental emissions. We employ new and innovative panel data methods to address the existing econometric issues in estimating the effect of R&D on greenhouse gas emissions. Then, using data from advanced and emerging economies that span the period from 1980 to 2020, we find that R&D investment in renewable technologies has a significant positive effect on environmental quality by reducing a range of pollutants, including carbon dioxide, methane, and other pollutants. The results are robust to a series of sensitivity tests. The findings have important policy implications for climate change and various recent environmental initiatives, including the transition to net-zero emissions and sustainability. [ABSTRACT FROM AUTHOR]

Integrated assessment models have become the primary tools for comparing climate policies aimed at reducing greenhouse gas emissions. Such policies have often been identified by considering a planner who seeks to make optimal trade-offs between the costs of carbon abatement and the economic damages from climate change. The planning problem has been formalized as one of optimal control, the objective being to minimize the total costs of abatement and damages over a time horizon. Studying climate policy as a control problem presumes that a planner knows enough to make optimization feasible, but in practice, physical and economic uncertainties abound. Manski, Sanstad, and DeCanio (2021) proposed and studied use of the minimax-regret (MMR) decision criterion to account for deep uncertainty in climate modeling. Here we study choice of climate policy that minimizes maximum regret with deep uncertainty regarding both the correct climate model and the appropriate time discount rate to use in intergenerational assessment of policy consequences. The analysis considers a range of discount rates to express both empirical and normative uncertainty about the appropriate magnitude of this parameter. The findings are novel and informative. The MMR analysis points to use of a relatively low discount rate of 0.02 for climate policy. The MMR decision rule keeps the maximum future temperature increase below 2 °C above the 1900–09 level for most of the parameter values used to weight costs and damages. • We address deep uncertainty in climate policy modeling using the minimax regret (MMR) approach from formal decision theory. • Deep uncertainty arises because of uncertainties about the geophysical processes governing the climate and the future evolution of technology and the economy. • Additionally, "normative uncertainty" exists because of disagreement or lack of knowledge about the appropriate discount rate. • In our computational analysis, the MMR rule indicates that climate policy should act as if the discount rate were in the neighborhood of 2% per annum. [ABSTRACT FROM AUTHOR]

The use of internal carbon prices (ICPs) is a practice by which companies voluntarily attach a hypothetical cost to their carbon emissions to help prioritize low-carbon investment projects. We find that ICP use is driven by external carbon constraints and by firms' exposure to formal carbon pricing systems, next to various firm and society characteristics. The size of the gap between countries' actual and intended emissions alone, without a translation into stringent climate policies, does not play a role. These findings inform policymakers and investors about when and why firms account for future carbon constraints internally. A key societal risk is that corporate investments are not sufficiently directed at a future low-carbon economy. Stringent climate policies that provide predictable pathways appear to help firms mitigate the misalignment of their investments by using ICPs and thereby contribute to a less erratic and less expensive transition of the energy system. • We study how the use and the level of internal carbon prices relates to carbon constraints and cost uncertainty. • We use exposure to pricing systems and the carbon emission reduction rate implied by policies to assess constraints. • We find that climate policy stringency increases the likelihood of adopting internal carbon prices. • Firms use internal carbon prices to bring forward low-carbon investments in anticipation of future costs. • Stringent climate policies and explicit pricing systems provide pathways for investment in low-carbon technologies. [ABSTRACT FROM AUTHOR]

[Display omitted] • A 4.5% increase in risk of dementia admission per 1°C increase above 17°C. • Emergency admissions may increase by 300% in 2040 under high emissions scenario. • Identifying people with dementia as high-risk population over summer is advocated. The impacts of a changing climate on current and future dementia burdens have not been widely explored. Time-series negative binomial regression analysis was used to assess acute associations between daily ambient temperature and counts of emergency admissions for dementia in each Government region of England, adjusting for season and day-of-week. Using the latest climate and dementia projections data, we then estimate future heat-related dementia burdens under a high emission scenario (Representative Concentration Pathway (RCP8.5), where global greenhouse gas (GHG) emissions continue to rise, and a low emissions scenario (RCP2.6), where GHG emissions are sizeably reduced under a strong global mitigation policy. A raised risk associated with high temperatures was observed in all regions. Nationally, a 4.5% (95% Confidence interval (CI) 2.9%–6.1%) increase in risk of dementia admission was observed for every 1 °C increase in temperature above 17 °C associated with current climate. Under a high emissions scenario, heat-related admissions are projected to increase by almost 300% by 2040 compared to baseline levels. People living with dementia should be considered a high-risk group during hot weather. Our results support arguments for more stringent climate change mitigation policies. [ABSTRACT FROM AUTHOR]

The development of renewable energy sources (RES) is considered to be a key instrument in addressing climate change. However, different RES have different potential and economic feasibility depending on country-specific conditions and mitigation ambitions. Understanding the relative importance of each RES could help policymakers focus their efforts on the most promising options. In this paper, we focus on Ukraine and explore the potential of biomass use under two mitigation scenarios – with 68% and 83% of greenhouse gas emissions reduction in 2050 relative to the 2010 level. First, using the TIMES-Ukraine energy system model, we show that biomass would play a major role in the future climate mitigation. If constrained at the baseline scenario level (due to political or other reasons), mitigation costs would be substantially higher – by 14.0–19.6 B € or 10.8–14.3 €/tCO 2 -eq., over the 2020–2050 time frame. Second, we quantify the importance of each biomass source. We show that woody biomass and bioliquids are the most important biofuels under the high-ambition climate scenario, while biowaste and bioliquids play a key role in the lower ambition pathway. Finally, we analyse the current policy environment in the context of future biomass development and conclude with a set of policy recommendations toward the realization of the biomass potential in Ukraine. We believe that findings presented in the paper would be relevant not only for supporting the decision-making process in Ukraine, but could also provide useful insights for other countries with similar conditions. • Two scenarios with 68% and 83% reduction in GHG emissions in 2050 relative to 2010. • Over 50% of all renewable energy is coming from biomass under both scenarios. • Bioenergy constraint increases mitigation costs by 10.8–14.3 EUR/tCO 2 or 2.4–3.2 times. • No significant impact of the biogas availability on the mitigation costs. • Constraining biowoods , bioliquids or biowaste increases costs by at least 35% each. [ABSTRACT FROM AUTHOR]

Abstract: This paper criticizes the progress of the Brazilian government in preventing greenhouse gas emissions originating in urban areas. In 2009, Brazil approved its “National Policy on Climate Change”, complementing the 2008s National Plan on Climate Change (NPCC). In these documents, the federal government established measures to be undertaken in order to reduce greenhouse gases emissions, focusing on deforestation. However, the federal government should have regulated urban emissions, since the present Brazilian urbanization context, with big metropolises and the gradual migration of the population to the suburbs, represents a burden on climate change. With this new reality, transport and electricity use tend to grow, with the consequent increase in emissions. On the other hand, the municipalities are responsible for most city planning and transportation policies in Brazil. Pressed by their daily needs, they show little concern towards climate change and do not include the regulation of major sources of emissions among their priorities. Consequently, the municipalities are inefficient in preventing climate change. There are two main explanations for that: they do not have the know-how to prevent emissions; and they do not share this political agenda, since the impact of climate change is seldom acknowledged in the city where the emissions occur. Therefore, the central government has a role to play in regulating urban emissions. The study concludes that the National Plan and the National Policy, being federal documents, should have addressed urban emissions throughout the nation. Ultimately, they should be revised to guide city planners into planning greener cities. In order to succeed in this task, this legislation should not only require the reduction of emissions, but it should also indicate to the municipalities how they might achieve the reduction. [Copyright &y& Elsevier]

Abstract: Low carbon cities. What, exactly, are we talking about? Are we talking about lifestyles, activities, or enterprises? Are we talking about individual or group voluntary behavior change or a policy framework that seeks to encourage behavior change by regulatory force? Faced with an enormous literature that mixes related topics like sustainable development/climate change/energy conservation/low carbon, it is not surprising to hear about local governments’ or planners’ “climate change initiatives”. This paper describes/reflects on how officials in Broward County, Florida, are dealing with issues of awareness, governance, measurement, and instruments for challenges arising from the combined threats of energy depletion and climate change. The overriding objective of this paper is to provide some pith for the discussion of planning for low carbon cities. To this end, we describe and reflect on the planning management responses of Broward County, Florida, USA – as an illustrative local government – in dealing with climate change challenges (CCC), energy conservation (EC) and greenhouse gas reduction (GHG). Both description and reflection are important as it is primarily the latter that provides the critical perspective necessary for assessing both potential and effect. The paper is organized into five sections. The first two sections address the “contextual” questions raised above: what is the level of knowledge and/or awareness among the collection of planners and/or local governments; and, what are/is appropriate responses of different levels of government. In the next section, we review overall levels of knowledge and awareness of basic science and policy dimensions, with particular attention paid to (a version of the) US planning profession. This is followed by a discussion of “theoretical” prescriptions for actions at different levels of government. The third and fourth sections focus on Broward County. The third section describes the county and presents a current measurement of its carbon footprint (at least at the level to which it can be measured). The fourth section describes the operational response of Broward County government. The final section returns to the original questions of knowledge and appropriate types of responses and argues that while the Broward response is generally effective in certain aspects, the current policy paradigm contains both strengths and weaknesses, which are generally outlined and discussed. [Copyright &y& Elsevier]

Proposals being considered by the U.S. Congress would establish a cap-and-trade system to cut greenhouse gas (GHG) emissions approximately 2% annually through 2050. Past cap-and-trade policies for other pollutants have distributed allowances free to the regulated companies, leaving consumers uncompensated for passed-through costs needed to achieve the required reductions. Social equity concerns were not a major issue because the total costs were relatively small. However, Americans currently spend about $1 trillion/year on energy, directly and indirectly via the goods and services they consume. If a cap on carbon emissions results in significant increases in energy prices, social equity concerns could quickly dominate the debate over climate policy. This paper confirms earlier studies that a traditional cap-and-trade policy is regressive and would cause the cost of reducing GHG emissions to fall disproportionately on low income households. This paper explores ways to ameliorate those effects, using highly disaggregated data available on consumer expenditures and energy-input¿output analyses of the U.S. economy. Emissions are estimated based on direct and embodied energy use at the household level. Social equity concerns are taken into account and the consequences of cap-and-trade policies are assessed by quantifying the extent to which the expenditure patterns of the poor are significantly more energy intensive than those of the rich. [Copyright &y& Elsevier]

This article reviews climate change mitigation policies implemented in five major emitting economies: China, the European Union, India, Japan and the United States. It analyses their historical performance in terms of energy system and greenhouse gas emissions indicators. In cases where policies aim to reduce future emissions, their target performance levels are assessed. The review centres on the sectors of electricity generation, passenger vehicles, freight transport, forestry, industry, buildings, agriculture, and oil and gas production. Most focus countries have implemented successful policies for renewable energy, fuel efficiency, electrification of passenger vehicles, and forestry. For other sectors, information is limited or very heterogeneous (e.g. buildings, appliances, agriculture) or there are few comprehensive policies in place (e.g. industry). The article further presents an explorative emissions scenario developed under the assumption that all countries will replicate both the observed trends in sector-level indicators and the trends that policies for future emissions reductions aspire to achieve. It shows that the global replication of sector progress would reduce greenhouse gas emissions by 2030 by about 20% compared to a current policies scenario. All countries analysed would overachieve the emissions reduction targets in their post-2020 climate targets. However, the resulting reduction in global emissions by 2030 would still not be sufficient to keep the world on track for a global cost-effective pathway that keeps temperature increase below 2°C. The findings of this study emphasise the need for transformative policies to keep the Paris Agreement temperature limit within reach. • China, the EU, Japan, India and the USA have effective policies for renewable energy, passenger vehicles, and forestry. • Other sectors are lagging behind in climate change mitigation. • Global replication of sector policies would reduce emissions by 20% in 2030. • This would, however, not close the emissions gap in 2030. • Implied emissions reductions go beyond the Nationally Determined Contributions for all economies analysed. [ABSTRACT FROM AUTHOR]