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Economic analysis of climate change

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525: 1544: 1056: 1493:. Wealthy countries in colder regions had either felt little overall economic impact from climate change, or possibly benefited, whereas poor hotter countries very likely grew less than if global warming had not occurred. Part of this observation stems from the fact that greenhouse gas emissions come mainly from high-income countries, while low-income countries are affected by it negatively. So, high-income countries are producing significant amounts of emissions, but the impacts are unequally threatening low-income countries, who do not have access to the resources to recover from such impacts. This further deepens the inequalities within the poor and the rich, hindering sustainability efforts. Impacts of climate change could even push millions of people into poverty. 938: 1553: 832: 451:. According to the compensation principle, so long as those benefiting from a particular project compensate the losers, and there is still something left over, then the result is an unambiguous gain in welfare. If there are no mechanisms allowing compensation to be paid, then it is necessary to assign weights to particular individuals. One of the mechanisms for compensation is impossible for this problem: mitigation might benefit future generations at the expense of current generations, but there is no way that future generations can compensate current generations for the costs of mitigation. On the other hand, should future generations bear most of the costs of climate change, compensation to them would not be possible. 497:(CEA) is preferable to CBA when the benefits of impacts, adaptation and mitigation are difficult to estimate in monetary terms. A CEA can be used to compare different policy options for achieving a well-defined goal. This goal (i.e. the benefit) is usually expressed as the amount of GHG emissions reduction in the analysis of mitigation measures. For adaptation measures, there is no single common goal or metric for the economic benefits. Adaptation involves responding to different types of risks in different sectors and local contexts. For example, the goal might be the reduction of land area in hectares at risk to sea level rise. 1436:
such as a plan, policy or strategy. For many developing countries, the implementation of certain actions specified in the plans is conditional on receiving international support. in these countries, a majority (85%) of finance needs are expected to be met from international public climate finance, i.e. funding from developed to developing countries. There is less data available for adaptation costs and adaptation finance needs in high income countries. Data show that per capita needs tend to increase with income level, but these countries can also afford to invest more domestically.
254: 464: 821: 980: 1466:. To calculate the social welfare function requires an aggregation of the impacts of climate change policies and climate change itself across all affected individuals. This calculation involves a number of complexities and controversial equity issues. For example, the monetization of certain impacts on human health. There is also controversy over the issue of benefits affecting one individual offsetting negative impacts on another. These issues to do with equity and aggregation cannot be fully resolved by economics. 33: 1148: 1021: 725:. Considerations in a risk-based approach might include, for example, the potential for low-probability, worst-case climate change impacts. One of the responses to the uncertainties of global warming is to adopt a strategy of sequential decision making. Sequential decision making refers to the process in which the decision maker makes consecutive observations of the process before making a final decision. This strategy recognizes that decisions on global warming need to be made with incomplete 6466:: The global benefits of pathways limiting warming to 2°C (>67%) outweigh global mitigation costs over the 21st century, if aggregated economic impacts of climate change are at the moderate to high end of the assessed range, and a weight consistent with economic theory is given to economic impacts over the long term. This holds true even without accounting for benefits in other sustainable development dimensions or nonmarket damages from climate change (medium confidence). 384:
droughts and windstorms. They show that for example, hot years are linked to lower income growth in poor countries, and low rainfall is linked to reduced incomes in Africa. Other econometric studies show that there are negative impacts of hotter temperatures on agricultural output, and on labour productivity in factories, call centres and in outdoor industries such as mining and forestry. The analyses are used to estimate the costs of climate change in the future.
360:(IAMs) are also used make aggregate estimates of the costs of climate change. These (cost-benefit) models balance the economic implications of mitigation and climate damages to identify the pathway of emissions reductions that will maximize total economic welfare. In other words, the trade-offs between climate change impacts, adaptation, and mitigation are made explicit. The costs of each policy and the outcomes modelled are converted into monetary estimates. 9524: 10686: 9512: 126:. Mitigation costs will vary according to how and when emissions are cut. Early, well-planned action will minimize the costs. Globally, the benefits of keeping warming under 2 °C exceed the costs. Cost estimates for mitigation for specific regions depend on the quantity of emissions allowed for that region in future, as well as the timing of interventions. Economists estimate the cost of climate change mitigation at between 1% and 2% of 1425:
benefits. For example, it is estimated that every US$ 1 billion invested in adaptation against coastal flooding leads to a US$ 14 billion reduction in economic damages. Investing in more resilient infrastructure in developing countries would provide an average of $ 4 in benefit for each $ 1 invested. In other words, a small percentage increase in investment costs can mitigate the potentially very large disruption to infrastructure costs.
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across regions, especially in those that are relatively carbon intensive at present. Pathways with uniform carbon values show higher mitigation costs in more carbon-intensive regions, in fossil-fuels exporting regions and in poorer regions. Aggregate quantifications expressed in GDP or monetary terms undervalue the economic effects on households in poorer countries. The actual effects on welfare and well-being are comparatively larger.
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adaptation, annual global GDP might be reduced by 10–23% by 2100 because of climate change. The same assessment finds smaller GDP changes with reductions of 1–8%, assuming assuming low warming, more adaptation, and using different models. These global economic cost estimates do not take into account impacts on social well-being or welfare or distributional effects. Nor do they fully consider climate change adaptation responses.
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damage functions have been developed for sea level rise, agricultural productivity, or heat effects on labour productivity. In a CBA framework, damages are monetized to facilitate comparison with the benefits of proposed actions or policies. Sensitivity analysis is conducted to assess the robustness of the results to changes in assumptions and parameters, including those of the damage function.
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overall adaptation plans for the country, city, or region. It also depends on the assessment methods used. A 2023 study analysed country-level information submitted to the UNFCCC in National Adaptation Plans and Nationally Determined Contributions (85 countries). It estimated global adaptation needs of developing countries annual average to be US$ 387 billion, for the period up to 2030.
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problem of aggregated analyses is that they often reduce different types of impacts into a small number of indicators. It can be argued that some impacts are not well-suited to this, e.g., the monetization of mortality and loss of species diversity. On the other hand, where there are monetary costs of avoiding impacts, it may not be possible to avoid monetary valuation of those impacts.
1181:; a cost that is directly passed on to the consumer and affects the affordability of food. Some farms do not sell their produce but instead feed a family or community; without that food, people will not have enough to eat. This results in decreased production, increased food prices, and potential starvation in parts of the world. The agriculture industry in 781:, originally applied in the areas of finance and investment. It has also been applied to the analysis of climate change. The idea is that a reasonable response to uncertainty is to invest in a wide portfolio of options. More specifically, the aim is to minimise the variance and co-variance of the performance of investments in the portfolio. In the case of 275:(IPCC) has relied on process-based integrated assessment models to quantify mitigation scenarios. They have been used to explore different pathways for staying within climate policy targets such as the 1.5 °C target agreed upon in the Paris Agreement. Moreover, these models have underpinned research including energy policy assessment and simulate the 407:(CBA) has been applied to the problem of climate change. In a CBA framework, the negative and positive impacts associated with a given action are converted into monetary estimates. This is also referred to as a monetized cost–benefit framework. Various types of model can provide information for CBA, including energy-economy-environment models ( 1474:
weighting, the result is that there is a much weaker argument in favour of mitigation action in rich countries. Valuing climate change impacts in poorer countries less than domestic climate change impacts (both in terms of policy and the impacts of climate change) would be consistent with observed spending in rich countries on foreign aid
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good must pay for it. Some people will benefit more from the public good than others, thus creating inequalities in the absence of benefit taxes. A difficulty with public goods is determining who exactly benefits from the public good, although some estimates of the distribution of the costs and benefits of global warming have been made –
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sensitivity of future investments, estimating the risk from climate change and estimating the additional investment needed to increase resilience. More detailed studies undertake investment and financial flow analysis at a sectoral level to provide detailed costing of the additional marginal costs needed for building resilience.
959:. The science of tipping points is complex and there is great uncertainty as to how they might unfold. Economic analyses often exclude the potential effect of tipping points. A 2018 study noted that the global economic impact is underestimated by a factor of two to eight, when tipping points are excluded from consideration. 2473: 871:
individual extreme heat events and rainfall events. Using all available data on attributable changes, one study estimated the global losses to average US$ 143 billion per year between 2000 and 2019. This includes a statistical loss of life value of 90 billion and economic damages of 53 billion per year.
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The emissions of the richest 1% of the global population account for more than twice the combined share of the poorest 50%. Compliance with the 1.5 °C goal of the Paris Agreement would require the richest 1% to reduce their current emissions by at least a factor of 30, while per-person emissions
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A third approach looks at the problem from the perspective of who has contributed most to the problem. Because the industrialized countries have contributed more than two-thirds of the stock of human-induced GHGs in the atmosphere, this approach suggests that they should bear the largest share of the
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Adaptation costs are the costs of planning, preparing for, facilitating and implementing adaptation. Adaptation benefits can be estimated in terms of reduced damages from the effects of climate change. In economic terms, the cost to benefit ratio of adaptation shows that each dollar can deliver large
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published a report titled: "Working on a warmer planet: The impact of heat stress on labour productivity and decent work", in which it claims that even if the rise in temperature will be limited to 1.5 degree, by the year 2030, Climate Change will cause losses in productivity reaching 2.2% of all the
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On the other hand, a view may be taken that points to the benefits of improved information over time. This may suggest an approach where near-term emissions abatement is more modest. Another way of viewing the problem is to look at the potential irreversibility of future climate change impacts (e.g.,
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may be unsuitable for analysing climate change mitigation as a whole. But it is still useful for analysing the difference between a 1.5 °C target and 2 °C. One way of estimating the cost of reducing emissions is by considering the likely costs of potential technological and output changes.
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Globally, limiting warming to 2 °C may result in higher economic benefits than economic costs. The economic repercussions of mitigation vary widely across regions and households, depending on policy design and level of international cooperation. Delayed global cooperation increases policy costs
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There are a number of benefits of using aggregated assessments to measure economic impacts of climate change. They allow impacts to be directly compared between different regions and times. Impacts can be compared with other environmental problems and also with the costs of avoiding those impacts. A
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It has been estimated that 3.5 million people die prematurely each year from air pollution from fossil fuels. The health benefits of meeting climate goals substantially outweigh the costs of action. The health benefits of phasing out fossil fuels measured in money (estimated by economists using
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Investment and financial flow (I&FF) studies typically consider how much it might cost to increase the resilience of future investments or financial flows. They also investigate the potential sources of investment funds and the types of financing entities or actors. Aggregated studies assess the
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The total economic impacts from climate change increase for higher temperature changes. For instance, total damages are estimated to be 90% less if global warming is limited to 1.5 °C compared to 3.66 °C, a warming level chosen to represent no mitigation. In an Oxford Economics study high
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Global estimates are often based on an aggregation of independent sector and/or regional studies and results, with complex interactions modelled. For example, there is uncertainty in how physical and natural systems may respond to climate change. Potential socioeconomic changes, including how human
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The economic impacts of climate change also include any mitigation (for example, limiting the global average temperature below 2 °C) or adaption (for example, building flood defences) employed by nations or groups of nations, which might infer economic consequences. They also take into account
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These damages are compared to a baseline of no climate change and are then applied against overall expected global growth in gross domestic product, said study lead author Max Kotz, a climate scientist. So while it's 19% globally less than it could have been with no climate change, in most places,
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emissions. On the other hand, economic growth may drive technological change and increase energy efficiency. Economic growth may be associated with specialization in certain economic sectors. If specialization is in energy-intensive sectors, then there will be a strong link between economic growth
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basis, which has traditionally been used in welfare economics, an argument can be made for richer countries taking on most of the burdens of mitigation. However, another result is possible with a different modeling of impacts. If an approach is taken where the interests of poorer people have lower
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Both the cost estimates and needs estimates have high uncertainty. Adaptation costs are usually derived from economic modelling analysis (global or sectoral models). Adaptation needs are based on programme and project-level costing. These programmes depend on the high level adaptation instrument –
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Further, the role of climate change in undernutrition and micronutrient deficiencies can be calculated as the loss of "years of full health".One estimate presented in 2016 suggests that under the scenario of strong warming and low adaptation due to high global conflict and rivalry, such losses may
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A warming planet also threatens to put more homes into disrepair or wipe them out from the existing housing stock altogether, exacerbating our housing shortage. For example, if a fire or natural disaster doesn't completely destroy a unit, the owner has to decide whether to then repair or demolish
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One approach considers the problem from the perspective of who benefits most from the public good. This approach is sensitive to the fact that different preferences exist between different income classes. The public good is viewed in a similar way as a private good, where those who use the public
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A 2023 study found the overall adaptation costs for all developing countries to be around US$ 215 billion per year for the period up to 2030. The highest adaptation expenses are for river flood protection, infrastructure and coastal protection. They also found that in most cases, adaptation costs
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The economic impact of changes in annual mean temperature is estimated to be lower at higher latitudes despite higher temperature changes due to lower estimated economic vulnerability to temperature changes. Reduced daily temperature variability at high latitudes shows positive estimated economic
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Global aggregate costs (also known as global damages or losses) sum up the predicted impacts of climate change across all market sectors (e.g. including costs to agriculture, energy services and tourism) and can also include non-market impacts (e.g. on ecosystems and human health) for which it is
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in order to take into account uncertainty in climate impacts, GHG emission trends etc. The options should ideally be diversified to be effective in different scenarios: i.e. some options suited for a no/low climate change scenario, with other options being suited for scenarios with severe climate
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Global Warming of 1.5 °C. An IPCC Special Report on the impacts of global warming of 1.5 °C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and
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Rogelj, J. Popp, A. Calvin, K.V. Luderer, G. Emmerling, J. Gernaat, D. Fujimori, S. Strefler, J. Hasegawa, T. Marangoni, G. Krey, V. Kriegler, E. Riahi, K. van Vuuren, D.P. Doelman, J. Drouet, L. Edmonds, J. Fricko, O. Harmsen, M. Havlik, P. Humpenöder, F. Stehfest, E. Tavoni, M. (5 March 2018).
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Several factors affect mitigation cost estimates. One is the baseline. This is a reference scenario that the alternative mitigation scenario is compared with. Others are the way costs are modelled, and assumptions about future government policy. Cost estimates for mitigation for specific regions
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are similar to some of the worst country-level losses during historical economic recessions. Economic losses are risks to living standards, which are more likely to be severe in developing countries. Climate change can push more people into extreme poverty or keep people poor, especially through
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CBA has several strengths: it offers an internally consistent and global comprehensive analysis of impacts. Furthermore, sensitivity analysis allows critical assumptions in CBA analysis to be changed. This can identify areas where the value of information is highest and where additional research
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are used giving weather variation over time and spatial areas, eg. ground station observations or (interpolated) gridded data. These are typically aggregated for economic analysis eg. to investigate effects on national economies. These studies examine temperature and rainfall, and events such as
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CEA involves the costing of each option, and providing a cost per unit of effectiveness. For example, cost per tonne of GHG reduced ($ /tCO2). This allows the ranking of policy options. This ranking can help decision-maker to understand which are the most cost-effective options, i.e. those that
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Damage functions play an important role in estimating the costs associated with potential damages caused by climate-related hazards. They quantify the relationship between the intensity of the hazard, other factors such as the vulnerability of the system, and the resulting damages. For example,
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It is difficult to estimate both the costs of adaptation and the adaptation finance needs. The costs of adaptation varies with the objective and the level of adaptation required and what is acceptable as residual, i.e. 'unmanaged' risk. Similarly, adaptation finance needs vary depending on the
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become more common and more intense, floods and droughts can destroy crops and eliminate food supply, while disrupting agricultural activities and rendering workers jobless. With more costs to the farmer, some will no longer find it financially feasible to farm: i.e. some farmers may choose to
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On the second point, it has been suggested that insurance could be bought against climate change risks. Policymakers and investors are beginning to recognize the implications of climate change for the financial sector, from both physical risks (damage to property, infrastructure, and land) and
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Scenarios are neither "predictions" nor "forecasts" but are stories of possible futures that provide alternate outcomes relevant to a decision-maker or other user. These alternatives usually also include a "baseline" or reference scenario for comparison. "Business-as-usual" scenarios have been
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The models incorporate aspects of the natural, social, and economic sciences in a highly aggregated way. Compared to other climate-economy models (including process-based IAMs), they do not have the structural detail necessary to model interactions with energy systems, land-use etc. and their
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Estimates are found to increase non-linearly with global average temperature change. Global temperature change projection ranges (corresponding to each cost estimate) are based on IPCC assessment on the physical science in the same report. It finds that with high warming (~4 °C) and low
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quantifies how climate change is altering the probability and magnitude of extreme events. On a case-by-case basis, it is feasible to estimate how the magnitude and/or probability of the extreme event has shifted due to climate change. These attributable changes have been identified for many
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Global economic losses due to extreme weather, climate and water events are increasing. Costs have increased sevenfold from the 1970s to the 2010s. Direct losses from disasters have averaged above US$ 330 billion annually between 2015 and 2021. Climate change has contributed to the increased
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of climate change impacts. "Disaggregated" refers to the choice to assess impacts in a variety of indicators or units, e.g., changes in agricultural yields and loss of biodiversity. By contrast, monetized CBA converts all impacts into a common unit (money), which is used to assess changes in
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A more recent modelling approach uses empirical, statistical methods to investigate how the economy is affected by weather variation. This approach can causatively identify effects of temperature, rainfall and other climate variables on agriculture, energy demand, industry and other economic
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that have been studied, aggregate costs of heat stress (through loss of work time) have been estimated, as have the costs of malnutrition. However, it is usual for studies to aggregate the number of 'years of life lost' adjusted for years living with disability to measure effects on health.
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One 2020 study estimated economic losses due to climate change could be between 127 and 616 trillion dollars extra until 2100 with current commitments, compared to 1.5 °C or well below 2 °C compatible action. Failure to implement current commitments raises economic losses to
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Disease, rising seas, reduced crop yields, and other harms driven by climate change will likely have a major deleterious impact on the economy by 2050 unless the world sharply reduces greenhouse gas emissions in the near term, according to a number of studies, including a study by the
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costs. This stock of emissions has been described as an "environmental debt". In terms of efficiency, this view is not supported. This is because efficiency requires incentives to be forward-looking, and not retrospective. The question of historical responsibility is a matter of
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CGE models are useful whenever we wish to estimate the effect of changes in one part of the economy upon the rest. They have been used widely to analyse trade policy. More recently, CGE has been a popular way to estimate the economic effects of measures to reduce greenhouse gas
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method. Many of these methods work well when different stakeholders work together on a problem to understand and manage risks. For example, by discussing how well certain options might work in the real world. Or by helping in measuring the costs and benefits as part of a CEA.
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and emissions growth. If specialization is in less energy-intensive sectors, e.g. the services sector, then there might be a weak link between economic growth and emissions growth. In general, there is some degree of flexibility between economic growth and emissions growth.
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factors have contributed to the observed trend of global disaster losses, such as population growth and increased wealth. This shows that increased exposure is the most important driver of losses. However, part of these are also due to human-induced climate change.
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emissions (size of pie charts) differ substantially among high-emitting regions, the pattern of higher income classes emitting more than lower income classes is consistent across regions. The world's top 1% of emitters emit over 1000 times more than the bottom
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from 2006 for the British Government predicted that world GDP would be reduced by several percent due to climate related costs. However, their calculations may omit ecological effects that are difficult to quantify economically (such as human deaths or
68:(IAMs) are useful. Those models link main features of society and economy with the biosphere and atmosphere into one modelling framework. The total economic impacts from climate change are difficult to estimate. In general, they increase the more the 1196:
Notably, one estimate suggests that a warming of 3 °C (5.4 °F) relative to late 20th century (i.e. closer to 4 °C (7.2 °F) when compared to preindustrial temperatures – a level associated with the SSP5-8.5 scenario) would cause
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In: Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change . Cambridge University Press, Cambridge, United Kingdom and New York, NY,
1610:(IPCC). They find that some degrowth scenarios "minimize many key risks for feasibility and sustainability compared to technology-driven pathways" with a core problem of such being feasibility in the context of contemporary decision-making of 195:
and thus save lives. Direct global fossil fuel subsidies reached $ 319 billion in 2017, and $ 5.2 trillion when indirect costs such as air pollution are priced in. In other areas, the cost of climate change mitigation may divert
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emission scenario, a temperature rise of 2 degrees by the year 2050 would reduce global GDP by 2.5–7.5%. By the year 2100 in this case, the temperature would rise by 4 degrees, which could reduce the global GDP by 30% in the worst case.
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Clarke L., K. Jiang, K. Akimoto, M. Babiker, G. Blanford, K. Fisher-Vanden, J.-C. Hourcade, V. Krey, E. Kriegler, A. Löschel, D. McCollum, S. Paltsev, S. Rose, P.R. Shukla, M. Tavoni, B.C.C. van der Zwaan, and D.P. van Vuuren, 2014:
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Clarke L., K. Jiang, K. Akimoto, M. Babiker, G. Blanford, K. Fisher-Vanden, J.-C. Hourcade, V. Krey, E. Kriegler, A. Löschel, D. McCollum, S. Paltsev, S. Rose, P.R. Shukla, M. Tavoni, B.C.C. van der Zwaan, and D.P. van Vuuren, 2014:
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transition risk due to changes in policy, technology, and consumer and market behavior. Financial institutions are becoming increasingly aware of the need to incorporate the economics of low carbon emissions into business models.
228:(statistical models) are used to integrate the broad impacts of climate change with other economic drivers, to quantify the economic costs and assess the value of climate-related policies, often for a specific sector or region. 789:
acts as insurance against the chance that unfavourable impacts occur. The performance of adaptation options could either be defined in economic terms, e.g. revenue, or as physical metrics, e.g. the quantity of water conserved.
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strategy concerned with reducing future climate impacts might favor stringent, near-term emissions reductions. As stated earlier, carbon dioxide accumulates in the atmosphere, and to stabilize the atmospheric concentration of
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Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II (WG2) to the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change
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Countries with the lowest GDPs per capita (yellow) and the lowest cumulative emissions will often suffer the greatest declines in their income relative to a hypothetical future where the impacts of climate change were not
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11-29%), relative to a counterfactual where no climate change occurs. The global economy and per capita income would still grow relative to present, but the global annual damages would reach about $ 38 trillion (in 2005
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No consensus exists on who should bear the burden of adaptation and mitigation costs. Several different arguments have been made over how to spread the costs and benefits of taxes or systems based on emissions trading.
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results in very moist air. There is a risk that agricultural labourers will be physically unable to work outdoors on hot summer days at the end of the century, particularly under the scenario of greatest emissions and
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are also difficult to estimate, depending on different factors. Across all developing countries, they have been estimated to be about USD 215 billion per year up to 2030, and are expected to be higher in the following
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Luderer, Gunnar; Leimbach, Marian; Bauer, Nico; Kriegler, Elmar; Baumstark, Lavinia; Bertram, Christoph; Giannousakis, Anastasis; Hilaire, Jerome; Klein, David (2015). "Description of the REMIND Model (Version 1.6)".
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is positive. The expected value is the mean of the distribution of expected outcomes. In other words, it is the average expected outcome for a particular decision. This criterion has been justified on the basis that:
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Risk management can be used to evaluate policy decisions based a range of criteria or viewpoints, and is not restricted to the results of particular type of analysis, e.g., monetized CBA. Another approach is that of
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Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate
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Eriksen, Siri; Schipper, E. Lisa F.; Scoville-Simonds, Morgan; Vincent, Katharine; Adam, Hans Nicolai; Brooks, Nick; Harding, Brian; Khatri, Dil; Lenaerts, Lutgart; Liverman, Diana; Mills-Novoa, Megan (1 May 2021).
586:). Projections of future atmospheric concentrations based on emission pathways are also affected by scientific uncertainties, e.g., over how carbon sinks, such as forests, will be affected by future climate change. 2824:
Baumstark, Lavinia; Bauer, Nico; Benke, Falk; Bertram, Christoph; Bi, Stephen; Gong, Chen Chris; Dietrich, Jan Philipp; Dirnaichner, Alois; Giannousakis, Anastasis; Hilaire, Jérôme; Klein, David (28 October 2021).
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in 2021 the economies of wealthy countries like the US would likely shrink by approximately 7%, while some developing nations would be devastated, losing around 20% or in some cases 40% of their economic output.
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Another estimate says that financial flows for climate mitigation and adaptation are going to be over $ 800 billion per year. These financial requirements are predicted to exceed $ 4 trillion per year by 2030.
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particularly climate-sensitive sectors such as agriculture and fisheries. Climate change may also increase income inequality within countries as well as between them, particularly affecting low-income groups.
2921: 749:, emissions would need to be drastically reduced from their present level. Stringent near-term emissions reductions allow for greater future flexibility with regard to a low stabilization target, e.g., 450 605:
developed in which there are no additional policies beyond those currently in place, and socio-economic development is consistent with recent trends. This term is now used less frequently than in the past.
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Bouwer, Laurens M. (2019), Mechler, Reinhard; Bouwer, Laurens M.; Schinko, Thomas; Surminski, Swenja (eds.), "Observed and Projected Impacts from Extreme Weather Events: Implications for Loss and Damage",
1962: 3543:"Reflections on Climate Change, Economic Development, and Global Equity : Presented at the 2007 Leontief Prize Ceremony Tufts University Global Development and Environment Institute October 17, 2007" 998:
impact, with opposite effects at lower latitudes and Europe. Economic effects due to changes in total annual precipitation show regional patterns generally opposite to changes in the number of wet days.
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Other studies investigate economic losses by GDP change per country or by per country per capita. Findings show large differences among countries and within countries. The estimated GDP changes in some
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Seneviratne, S.I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, S. Ghosh, I. Iskandar, J. Kossin, S. Lewis, F. Otto, I. Pinto, M. Satoh, S.M. Vicente-Serrano, M. Wehner, and B. Zhou, 2021:
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Mitigation costs will vary according to how and when emissions are cut. Early, well-planned action will minimize the costs. Globally, the benefits of keeping warming under 2 °C exceed the costs.
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perspective, values outside of "likely" ranges are relevant, because, though these values are less probable, they could be associated with more severe climate impacts (the statistical definition of
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Wei, Yi-Ming; Han, Rong; Wang, Ce; Yu, Biying; Liang, Qiao-Mei; Yuan, Xiao-Chen; Chang, Junjie; Zhao, Qingyu; Liao, Hua; Tang, Baojun; Yan, Jinyue; Cheng, Lijing; Yang, Zili; et al. (2020).
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The projected temperature in climate change scenarios is subject to scientific uncertainty (e.g., the relationship between concentrations of GHGs and global mean temperature, which is called the
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will be reduced by $ 23 trillion annually, unless greenhouse gas emissions are adequately mitigated. As a consequence, according to the Swiss Re study, climate change will impact how the
7272: 415:(CGE) structural models investigate effects of policies (including climate policies) on economic growth, trade, employment, and public revenues. However, most CBA analyses are produced using 2045:
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means that the benefits of a climate policy outweigh the costs of the policy. The standard rule used by public and private decision makers is that a risk will be acceptable if the expected
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Traditional insurance works by transferring risk to those better able or more willing to bear risk, and also by the pooling of risk. Since the risks of climate change are, to some extent,
3778: 6608:, a climate economist at Columbia University's business school who wasn't part of the research, said what he calls 'climateflation' is 'all too real and the numbers are rather striking.' 1352:
of different methods to assess the cost and amount of possible abatement over time. The marginal abatement costs of the various measures will differ by country, by sector, and over time.
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deliver high benefits for low costs. CEA can be used for minimising net costs for achieving pre-defined policy targets, such as meeting an emissions reduction target for a given sector.
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The Economics of Climate Change, the Second Report of the 2005-2006 session (HL 12-I and HL 12-II), produced by the UK Parliament House of Lords (HOL) Economics Affairs Select Committee
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441:. The valuation of costs and benefits of climate change can be controversial because some climate change impacts are difficult to assign a value to, e.g., ecosystems and human health. 157:
estimating economic costs of facilitating and implementing climate change mitigation and adaptation strategies (varying with the objectives and the levels of action required); see also
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government report in November 2018 raised the possibility of US GDP going down 10% as a result of the warming climate, including huge shifts in geography, demographics and technology.
971:) or whose economic consequences will manifest slowly. Therefore, their calculations may be an underestimate. The study has received both criticism and support from other economists. 5425: 4699: 3269: 874:
Estimates of the economic impacts from climate change in future years are most often measured as percent global GDP change, relative to GDP without additional climate change. The
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societies might mitigate and adapt to climate change also need consideration. The uncertainty and complexities associated with climate change and have led analysts to develop "
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employs the majority of the population in most low-income countries and increased costs can result in worker layoffs or pay cuts. Other farmers will respond by raising their
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The amount by which greenhouse gas emissions are reduced is forecast to substantially affect the number of Winter Olympic Game venues that will have reliably cold conditions.
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The distribution of warming impacts from emitters has been unequal, with high-income, high-emitting countries benefitting while harming low-income, low-emitting countries.
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might have the highest payoffs. However, there are many uncertainties that affect cost–benefit analysis, for example, sector- and country-specific damage functions.
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is a long-term problem. Furthermore, there is still a lot of uncertainty about the exact impacts of climate change and the associated damages to be expected. Future
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Two related ways of thinking about the problem of climate change decision-making in the presence of uncertainty are iterative risk management and sequential
6012: 5567: 4676: 2336:"The 2019 report of The Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate" 1582:
is one of the causes of increasing greenhouse gas emissions. As the economy expands, demand for energy and energy-intensive goods increases, pushing up CO
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An approach based on sequential decision making recognizes that, over time, decisions related to climate change can be revised in the light of improved
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Studies in 2019 suggested that economic damages due to climate change have been underestimated, and may be severe, with the probability of disastrous
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One 2018 study found that potential global economic gains if countries implement mitigation strategies to comply with the 2 °C target set at the
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that some regions or sectors benefit from low levels of warming, for example through lower energy demand or agricultural advantages in some markets.
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Analysts have also looked at how uncertainty over climate sensitivity affects economic estimates of climate change impacts. Policy guidance from
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In scenario analysis, scenarios are developed that are based on differing assumptions of future development patterns. An example of this are the
489: 6038: 3971: 3770: 2391: 1407:, where people are displaced from their homes destroyed by unusually extreme disasters like wildfire, has been increasing in the United States. 10907: 10897: 10862: 10807: 7697: 5515: 1118:
working hours, every year. This is equivalent to 80 million full-time jobs, or 2,400 billion dollars. The sector expected to be most
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probability and magnitude of extreme events. When a vulnerable community is exposed to extreme climate or weather events, disasters can occur.
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For (1), in CBA where WTP/WTA is used, climate change impacts are aggregated into a monetary value, with environmental impacts converted into
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After 2050, the global impacts of the high-emission scenario on economic output estimated to exceed those of the low-emission scenario at 1%
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in spirit, often assuming cost-minimizing behaviour by producers, average-cost pricing, and household demands based on optimizing behaviour.
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possible to assign monetary values. A study in 2024 projected that by 2050, climate change will reduce average global incomes by likely 19 (
10917: 10912: 10902: 10872: 10857: 10832: 10782: 10767: 8438: 6113: 5417: 4691: 3748:"19.1.1 Purpose, scope and structure of the chapter. In (book chapter) 19: Assessing Key Vulnerabilities and the Risk from Climate Change" 10837: 10827: 10822: 10812: 10797: 10772: 10659: 10615: 8322: 2236:"12.3 Implications of mitigation choices for sustainable development goals. In (book chapter) 12. Sustainable Development and mitigation" 594: 17: 6589: 4983: 2547: 8586: 8539: 6736:
Adaptation Gap Report 2023: Underfinanced. Underprepared. Inadequate investment and planning on climate adaptation leaves world exposed
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Scenarios often support sector-specific analysis of the physical effects and economic costs of climate change. Scenarios are used with
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supply 51% of Canadian agriculture; any changes in the production of food crops from these areas could have profound effects on the
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in allowing for lower, long-term stabilization targets. This option may be lost if near-term emissions abatement is less stringent.
8796: 8512: 8230: 8007: 5829: 4395: 1119: 426:(WTP) or willingness to accept (WTA) compensation as a measure of value, and (2) a criterion for accepting or rejecting proposals: 7443: 9152: 8941: 8104: 1543: 1417: 1330:. While this is a large sum, it is still far less than the subsidies governments provide to the ailing fossil fuel industry. The 283:, and WITCH-GLOBIOM. While these scenarios are highly policy-relevant, interpretation of the scenarios should be done with care. 123: 7331:
Economic and population growth are among the most important drivers of increases in CO2 emissions from fossil fuel combustion...
5325: 3078:"Environmental impact assessment for climate change policy with the simulation-based integrated assessment model E3ME-FTT-GENIE" 1459:. Additionally, this approach does not provide guidance as to how the surplus of benefits from climate policy should be shared. 408: 8801: 8764: 8618: 8603: 8517: 8166: 8110: 2182: 1055: 217: 158: 119: 5205:(Report). Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science. 4669:"Calculating the Cost of Weather and Climate Disasters / Seven things to know about NCEI's U.S. billion-dollar disasters data" 4488: 10962: 10730: 9460: 8598: 7926: 7905: 7847: 7796: 7744: 7711: 7658: 6950: 6867: 6833: 6789: 6186:"Health co-benefits and mitigation costs as per the Paris Agreement under different technological pathways for energy supply" 5610: 5542: 5238: 4766: 4605:. National Centers for Environmental Information (NCEI), part of the National Oceanic and Atmospheric Administration (NOAA). 4588: 4373: 4343:
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DSK-model). These models typically do not assume rational and representative agents, nor market equilibrium in the long term.
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informing decisions about global climate management strategy (through UN institutions) or policy decisions in some countries
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Toth, F. L .; et al., "10.1.4.1 Decision Making under Uncertainty. In (book chapter) 10. Decision-making Frameworks",
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There are wider policy (and policy coherence) considerations of interest. For example, in some areas, policies designed to
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Goldemberg, J.; et al., "1.3 Contribution of Economics. In (book chapter) 1. Introduction: scope of the Assessment",
2827:"REMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limits" 64:, the trade offs between climate change impacts, adaptation, and mitigation are made explicit. For this kind of analysis, 9663: 9586: 8963: 8486: 8476: 8459: 8366: 8173: 5787: 937: 766: 740:. This is particularly important with respect to climate change, due to the long-term nature of the problem. A near-term 143:
Economic analysis of climate change is an umbrella term for a range of investigations into the economic costs around the
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estimating sectoral or regional economic costs of climate change (e.g. costs to agriculture sector or energy services)
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13 May 2016 at the Portuguese Web Archive, which includes the Appendix, and the Executive Summary in other languages.
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Integrated assessment of global environmental change with IMAGE 3.0 : model description and policy applications
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5953: 5491: 4603:"Billion-Dollar Weather and Climate Disasters / United States Billion-Dollar Disaster Events 1980- (CPI-Adjusted)" 4465: 3673: 2046: 91:. However, there are also non-market impacts which are harder to translate into economic costs. These include the 9309: 9260: 8686: 8648: 8593: 8058: 6857: 6112:
Barker, T.; et al. (2007). "Mitigation from a cross-sectoral perspective.". In B. Metz; et al. (eds.).
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for each country) are substantially more than the cost of achieving the 2 degree C goal of the Paris Agreement.
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depend on the quantity of emissions allowed for that region in future, as well as the timing of interventions.
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Hepburn, C. (28 February 2005). "Memorandum by Dr Cameron Hepburn, St Hugh's College, University of Oxford.".
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are critical thresholds that, when crossed, lead to large, accelerating and often irreversible changes in the
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There is a growing number of weather-related disasters in the United States costing above one billion dollars
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are in the vicinity of US$ 17 trillion per year up to 2100, compared to a very high emission scenario.
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An example of a framework that is based on risk management is portfolio analysis. This approach is based on
10217: 10190: 9470: 9142: 8671: 8666: 8571: 8443: 8000: 7839: 7650: 4751:, Climate Risk Management, Policy and Governance, Cham: Springer International Publishing, pp. 63–82, 875: 3928: 3847: 3747: 2235: 2210: 10644: 10625: 10202: 10047: 10013: 9998: 9977: 9972: 8681: 8529: 7157: 6813: 5915:
Kulshreshtha SN (March 2011). "Climate Change, Prairie Agriculture and Prairie Economy: The new normal".
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Various economic tools are employed to understand the economic aspects around impacts of climate change,
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studies. It found wide variety in the results. These vary depending on the assumptions used in the IPCC
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changes. These scenarios can help governments understand the potential consequences of their decisions.
151:
estimating the potential global aggregate economic costs of climate change (i.e. global climate damages)
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Method for the Adaptation Economic Assessment to accompany the UK Climate Change Risk Assessment (CCRA)
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This graph shows estimation confidence intervals from a meta-analysis of researchers as well as by the
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Scott, Daniel; Knowles, Natalie L. B.; Ma, Siyao; Rutty, Michelle; Steiger, Robert (10 January 2022).
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simulate physical, chemical and biological processes under climate change, and the economic effects.
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Ahmad, Q. K.; et al., "2.7.2.2 Cost-Benefit Analysis. In (book chapter) 2. Methods and Tools",
1482:. It has been suggested that developed countries could address the issue by making side-payments to 10649: 10595: 10338: 10293: 10132: 10003: 9880: 9419: 9414: 9404: 9345: 9185: 8691: 8656: 8544: 8471: 8312: 8141: 8077: 8038: 7403:"2021-2022 EIB Climate Survey, part 3 of 3: The economic and social impact of the green transition" 6665: 5729: 4831:"Self-preservation strategy for approaching global warming targets in the post-Paris Agreement era" 4422:"3.7 Results of later action scenarios. In (book chapter) Chapter 3: The emissions gap – an update" 3826:"7.4 Key future impacts and vulnerabilities. In (book chapter) 7. Industry, Settlement and Society" 1838: 1349: 1292: 1050: 1038: 1025: 825: 729:, and that decisions in the near term will have potentially long-term impacts. Governments may use 258: 10353: 4152:"Climatic Cost-benefit Analysis Under Uncertainty and Learning on Climate Sensitivity and Damages" 4002: 3577: 2874:
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Economic impacts differ by region, North Africa, Middle East, South, Southeast and East Asia show
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In the scientific literature, there is sometimes a focus on "best estimate" or "likely" values of
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look at market and non-market impacts affecting the whole economy through its inputs and outputs.
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Fujimori, Shinichiro; Masui, Toshihiko; Matsuoka, Yuzuru (2017), "AIM/CGE V2.0 Model Formula",
2211:"TS.5.4 Perspectives on climate change and sustainability. In (book chapter) Technical summary" 1615: 1327: 1256:
Carbon-intensive industries and investors are expected to experience a significant increase in
1042: 541: 472: 448: 336: 286: 127: 84: 79:
Many effects of climate change are linked to market transactions and therefore directly affect
60:
from an economic perspective. There are many economic models and frameworks. For example, in a
7290:; Wolf, Christopher; Newsome, Thomas M; Barnard, Phoebe; Moomaw, William R (5 November 2019). 6095:. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 2215–2256, 5218:
Macroeconomic and Financial Policies for Climate Change Mitigation: A Review of the Literature
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Ahmad, Q. K.; et al., "2.5.3 Nonmarket impacts. In (book chapter) 2. Methods and Tools",
1618:
rebound- and relocation-effects. This is supported by other studies which state that absolute
785:, performance is measured by how much GHG emissions reduction is achieved. On the other hand, 10690: 10605: 10288: 10263: 10248: 10222: 10161: 9840: 9780: 9760: 9755: 9516: 9162: 9039: 8847: 8302: 8225: 7791:
of the Intergovernmental Panel on Climate Change, Cambridge, UK: Cambridge University Press,
7349: 4781: 3076:
Mercure, Jean-Francois; Pollit, Hector; Neil, Edward; Holden, Philip; Unnada, Unnada (2018).
1660: 737: 726: 702: 188: 165: 164:
monetising the projected impacts to society per additional metric tonne of carbon emissions (
36:
Estimated median income loss or gain per person by 2050 due to climate change, compared to a
7643: 7641:(2001), McCarthy, J. J.; Canziani, O. F.; Leary, N. A.; Dokken, D. J.; White, K. S. (eds.), 6546: 4448: 4207:
The consequences of uncertainty: Climate sensitivity and economic sensitivity to the climate
2003: 1389:
fueled by climate change have increased housing costs through insurance and by exacerbating
253: 10716: 10654: 10358: 10102: 10072: 10025: 9988: 9914: 9865: 9830: 9770: 9735: 9670: 9653: 9355: 9233: 8894: 8464: 8391: 7475: 7358: 6979: 6291: 6197: 5983: 5924: 5887: 5675: 5517:
Working on a warmer planet The impact of heat stress on labour productivity and decent work
5448: 5371: 5158:"Climate change and the future of the Olympic Winter Games: athlete and coach perspectives" 5094: 4842: 4602: 4163: 3463: 3447:
Ackerman, Frank; DeCanio, Stephen J.; Howarth, Richard B.; Sheeran, Kristen (August 2009).
2984: 2838: 2748: 2290: 2248: 2149: 2132: 1901: 1706: 1645: 1574: 968: 846: 646:, where analysts attempt to estimate the probability of future changes in emission levels. 643: 590: 576: 434: 9603: 7524: 6169:
Stern Review on the Economics of Climate Change: Part III: The Economics of Stabilisation.
5972:"Economic implications of climate change impacts on human health through undernourishment" 4103:"Projections and Uncertainties about Climate Change in an Era of Minimal Climate Policies" 3798: 2279:"Quantified, Localized Health Benefits of Accelerated Carbon Dioxide Emissions Reductions" 1873:
Stern Review on the Economics of Climate Change: Part III: The Economics of Stabilisation.
757:. To put it differently, stringent near-term emissions abatement can be seen as having an 544:
per person, though the rate of increase diminishes with average GDPs/pp of about $ 10,000.
8: 10584: 10393: 10212: 10112: 10092: 10052: 10008: 9993: 9949: 9890: 9815: 9805: 9775: 9698: 9372: 9147: 8376: 8371: 7944: 4653: 1512: 1490: 841: 687: 583: 10253: 9685: 7623:(2018). Masson-Delmotte, V.; Zhai, P.; Pörtner, H. O.; Roberts, D.; et al. (eds.). 7479: 7362: 7158:"Climate Change Could Cut World Economy by $ 23 Trillion in 2050, Insurance Giant Warns" 6983: 6312: 6295: 6279: 6201: 5987: 5948: 5946: 5928: 5891: 5698: 5679: 5663: 5452: 5392: 5375: 5359: 5098: 4846: 4620: 4167: 4018:
of the Intergovernmental Panel on Climate Change, Geneva, Switzerland: IPCC, p. 8,
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Hafner, Sarah; Anger-Kraavi, Annela; Monasterolo, Irene; Jones, Aled (1 November 2020).
2988: 2842: 2752: 2334:
Watts N; Amann M; Arnell N; Ayeb-Karlsson S; Belesova K; Boykoff M; et al. (2019).
2294: 2252: 1905: 1727: 1710: 1694: 10639: 10610: 10568: 10373: 10082: 10062: 10030: 9944: 9939: 9919: 9870: 9810: 9800: 9745: 9740: 9572: 9200: 9132: 9049: 8899: 8864: 8821: 8816: 8811: 8381: 7566: 7504: 7463: 7379: 7344: 7138: 7064: 7010: 6967: 6640:"Opinion: Climate inflation is eating your paycheck — and it's only going to get worse" 6483:, Cambridge University Press, Cambridge, United Kingdom and New York, NY, United States 6454:
IPCC (2022). Shukla, P.R.; Skea, J.; Slade, R.; Al Khourdajie, A.; et al. (eds.).
6385: 6233: 6013:"Half world's fossil fuel assets could become worthless by 2036 in net zero transition" 5856: 5753:
Kristjanson P, Neufeldt H, Gassner A, Mango J, Kyazze FB, Desta S, et al. (2012).
5664:"North China Plain threatened by deadly heatwaves due to climate change and irrigation" 5466: 5252: 5177: 4932:"Opinion: Climate inflation is eating your paycheck — and it's only going to get worse" 4888:"Opinion: Climate inflation is eating your paycheck — and it's only going to get worse" 4863: 4830: 4567: 4179: 4132: 3728: 3639: 3479: 3089: 3058: 3008: 2920:
Gambhir, Ajay; Butnar, Isabela; Li, Pei-Hao; Smith, Pete; Strachan, Neil (8 May 2019).
2902: 2806: 2685: 2492: 2373: 2311: 2278: 2071: 1937: 1595: 1532: 1483: 1202: 990: 750: 537: 423: 419:. These aggregate-type IAMs are particularly designed for doing CBA of climate change. 6118:. Cambridge University Press, Cambridge, UK, and New York, N.Y., U.S.A. Archived from 5963: 5746: 5568:"Rapid global switch to renewable energy estimated to save millions of lives annually" 2351: 1594:
scenarios, where economic output either declines or declines in terms of contemporary
48:
uses economic tools and models to calculate the magnitude and distribution of damages
10503: 10478: 10388: 10268: 10156: 9959: 9895: 9860: 9850: 9720: 9434: 9097: 8842: 8608: 8396: 8359: 8146: 8100: 7914: 7901: 7863: 7843: 7805: 7792: 7732: 7707: 7674: 7654: 7605: 7570: 7558: 7509: 7491: 7384: 7287: 7142: 7130: 7056: 7015: 6997: 6946: 6863: 6829: 6785: 6621:"Home insurance rates are rising due to climate change. What could break that cycle?" 6389: 6375: 6317: 6237: 6225: 5943: 5936: 5795: 5733: 5722: 5703: 5657: 5655: 5634: 5606: 5470: 5397: 5333: 5256: 5244: 5234: 5181: 5122: 4913:"Home insurance rates are rising due to climate change. What could break that cycle?" 4868: 4762: 4621:
Smith, Adam B.; NOAA National Centers For Environmental Information (December 2020).
4571: 4559: 4369: 4311: 4250: 4183: 4151: 4136: 4124: 4019: 3898: 3860: 3720: 3640:
Estimation of climate change damage functions for 140 regions in the GTAP 9 data base
3158: 3109: 3062: 3050: 3000: 2946: 2906: 2894: 2856: 2798: 2766: 2716: 2643: 2633: 2610: 2529: 2480: 2456: 2433: 2423: 2377: 2365: 2316: 2164: 1941: 1929: 1763: 1732: 1650: 1404: 1225: 1186: 1156: 979: 946: 820: 793:
It is important to compare alternative portfolios of options across different future
529: 518: 505: 373: 290: 225: 100: 10428: 7343:
Wiedmann, Thomas; Lenzen, Manfred; Keyßer, Lorenz T.; Steinberger, Julia K. (2020).
7265:"The world's top 1% of emitters produce over 1000 times more CO2 than the bottom 1%" 7109:"Adaptation to Climate Change: Threats and Opportunities for the Insurance Industry" 7068: 5867: 5860: 3732: 3483: 3012: 2826: 2810: 2689: 2595: 2578: 2450: 769:) against the irreversibility of making investments in efforts to reduce emissions. 10702: 10553: 10498: 10483: 10468: 10453: 10383: 10363: 10343: 10298: 9905: 9855: 9825: 9820: 9710: 9636: 9477: 9044: 9027: 8968: 8859: 8623: 8342: 8215: 8151: 7958: 7550: 7499: 7483: 7374: 7366: 7313: 7305: 7120: 7046: 7005: 6987: 6945:. Cambridge, UK, and New York, N.Y.: Cambridge University Press. pp. 145–178. 6903: 6828:. Cambridge, UK, and New York, N.Y.: Cambridge University Press. pp. 117–168. 6756: 6367: 6307: 6299: 6215: 6205: 6096: 6055: 5991: 5932: 5895: 5846: 5838: 5766: 5693: 5683: 5499: 5456: 5387: 5379: 5224: 5198:; Edenhofer, Ottmar; Halliday, Alex; Heal, Geoffrey; et al. (September 2019). 5169: 5112: 5102: 4858: 4850: 4813: 4786: 4752: 4630: 4549: 4544: 4539: 4527: 4310:. Cambridge, UK, and New York, N.Y.: Cambridge University Press. pp. 619–690. 4211: 4175: 4171: 4114: 3710: 3681: 3471: 3230: 3199: 3148: 3144: 3140: 3099: 3046: 3042: 2992: 2936: 2886: 2846: 2790: 2756: 2708: 2677: 2600: 2590: 2574: 2521: 2401: 2355: 2347: 2306: 2298: 2256: 2190: 2154: 2144: 2101: 2054: 2007: 1919: 1909: 1755: 1722: 1714: 1390: 1386: 205: 10433: 7554: 6784:. Cambridge, UK, and New York, N.Y.: Cambridge University Press. pp. 79–124. 6172: 6011:
Watts, Jonathan; Kirk, Ashley; McIntyre, Niamh; Gutiérrez, Pablo; Kommenda, Niko.
5652: 5498:. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp. 1041–1170, 5173: 3680:. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp. 2539–2654, 3229:. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp. 2897–2930, 2681: 2053:. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp. 2411–2538, 2011: 1876: 1326:
Economists estimate the cost of climate change mitigation at between 1% and 2% of
1213:
increases: up to 250 days the worst-affected parts of these two continents and of
32: 10664: 10558: 10523: 10488: 10423: 10348: 10333: 10227: 10183: 10020: 9954: 9929: 9924: 9900: 9631: 9616: 9429: 9350: 9314: 9243: 9217: 9205: 9122: 9054: 8929: 8786: 8403: 8354: 8332: 7962: 7450: 7236: 6361: 6210: 6185: 6152: 5813: 4299:"Article 2 of the Convention and mitigation. In (book chapter) Technical Summary" 3592:. Cambridge, UK, and New York, N.Y.: Cambridge University Press. pp. 105–144 2712: 1966: 1914: 1889: 1853:. Cambridge, UK, and New York, N.Y.: Cambridge University Press. pp. 913–970 1640: 1538: 1257: 1214: 1169: 1076: 926: 741: 730: 722: 705:(CBA) can be extremely divergent depending on the assumptions employed. Hassler 691: 654: 328: 7887:(2007), Metz, B.; Davidson, O. R.; Bosch, P. R.; Dave, R.; Meyer, L. A. (eds.), 7538: 6403: 5714: 4757: 3771:"The United States has caused the most global warming. When will China pass it?" 2417: 1380:
Food prices could rise by as much as 3% per year due to climate change impacts.
1147: 1020: 331:, technology or other external factors. CGE models are also referred to as AGE ( 10578: 10563: 10528: 10513: 10493: 10463: 10283: 9934: 9643: 9611: 9382: 9238: 9180: 9175: 9017: 8906: 8638: 8633: 8628: 8481: 8418: 8156: 8136: 8095: 8016: 7487: 7370: 6753:
Lifelines: The Resilient Infrastructure Opportunity. Sustainable Infrastructure
6303: 5688: 5461: 5436: 5383: 4854: 4817: 2525: 2094:"Now is the time to prepare for the economic shocks of battling climate change" 1718: 1623: 1383:
Energy prices are another of the most common examples cited of climateflation.
1369: 1300: 1209:
to decline by 30 to 50%, as the number of days when outdoor workers experience
1206: 1063:
A number of economic sectors will be affected by climate change, including the
956: 862: 671: 589:
One of the economic aspects of climate change is producing scenarios of future
380: 320: 279:. Notable modelling frameworks include IMAGE, MESSAGEix, AIM/GCE, GCAM, REMIND- 104: 10313: 7954: 7900:
of the Intergovernmental Panel on Climate Change, Cambridge University Press,
7842:
of the Intergovernmental Panel on Climate Change, Cambridge University Press,
7706:
of the Intergovernmental Panel on Climate Change, Cambridge University Press,
7653:
of the Intergovernmental Panel on Climate Change, Cambridge University Press,
6752: 6371: 6100: 5996: 5971: 5908: 5771: 5754: 5503: 5229: 4790: 3929:"2.3.3 Costs, benefits and uncertainties. In (book chapter) 2. Framing issues" 3792: 3790: 3788: 3685: 3475: 3393: 3391: 3254:. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. 3234: 3104: 3077: 2996: 2548:"Explainer: How 'Shared Socioeconomic Pathways' explore future climate change" 2484: 2460: 2302: 2194: 2106: 2058: 1759: 1228:
is also expected to be highly affected, in part due to the region's extensive
10946: 10543: 10533: 10508: 10448: 10443: 10438: 10418: 10408: 10378: 10368: 10273: 10173: 10146: 9910: 9455: 9387: 9112: 8934: 8919: 8854: 8749: 7971: 7562: 7495: 7134: 7060: 7001: 6605: 6059: 5799: 5638: 5337: 5248: 5126: 4563: 4128: 3724: 3276:. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA 3162: 3113: 3054: 3004: 2950: 2898: 2860: 2851: 2802: 2770: 2647: 2614: 2533: 2437: 2189:. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp. 3–33, 2168: 1528: 1218: 1127: 1014: 879: 657: 572: 438: 324: 192: 7967: 7309: 6992: 4432: 2761: 2736: 10573: 10518: 10413: 10403: 10398: 10323: 10168: 9693: 9621: 9340: 9137: 8781: 8771: 8423: 8307: 8220: 7513: 7388: 7019: 6907: 6321: 6229: 5900: 5875: 5707: 5401: 5276: 5195: 4872: 4806:
The global costs of extreme weather that are attributable to climate change
4623:"Billion-Dollar Weather and Climate Disasters: Overview / 2020 in Progress" 4419: 3785: 3388: 2965: 2605: 2405: 2384: 2369: 2335: 2320: 2260: 2075: 1933: 1736: 1635: 1489:
A 2019 modelling study found climate change had contributed towards global
1401:
Climateflation is expected to hit warmer parts of the globe more severely.
1232:
networks resulting in unusually moist air. In scenarios without aggressive
963: 906: 636: 468: 80: 6696:"California's 'climate migrants' and the difficulty of finding a new home" 6255:"Can cost benefit analysis grasp the climate change nettle? And can we..." 5842: 5013:"Chapter 3: Impacts of 1.5 °C Global Warming on Natural and Human Systems" 5011:
Hoegh-Guldberg, O.; Jacob, D.; Taylor, M.; Bindi, M.; et al. (2018).
1980:"Can cost benefit analysis grasp the climate change nettle? And can we..." 1839:"19. Vulnerability to Climate Change and Reasons for Concern: A Synthesis" 40:
with no climate impacts (red colour indicates a loss, blue colour a gain).
10548: 10538: 10328: 10207: 10151: 9626: 9367: 8884: 8876: 8131: 7975: 7590: 7428:"1.5 °C degrowth scenarios suggest need for new mitigation pathways" 6469: 5107: 5082: 4749:
Loss and Damage from Climate Change: Concepts, Methods and Policy Options
4119: 4102: 3954:
Goldemberg, J.; et al., "1. Introduction: scope of the Assessment",
3127:
Lamperti, F.; Dosi, G.; Napoletano, M.; Roventini, A.; Sapio, A. (2018).
2794: 1470: 1296: 1210: 1178: 1174: 1152: 1002: 910: 666: 560: 422:
The CBA framework requires (1) the valuation of costs and benefits using
7464:"1.5 °C degrowth scenarios suggest the need for new mitigation pathways" 7125: 7108: 7051: 7034: 6177: 5876:"The role for scientists in tackling food insecurity and climate change" 4721: 4717: 4705:
income will still grow, just not as much because of warmer temperatures.
4338: 4336: 4334: 4215: 3922: 3920: 3918: 3916: 3914: 3153: 2890: 2477:
Scenarios towards limiting global mean temperature increase below 1.5 °C
2159: 1626:
over 1.5 °C or 2 °C, even under optimistic policy conditions.
616:(IPCC). These project a wide range of possible future emissions levels. 285:
Non-equilibrium models include those based on econometric equations and
10458: 10258: 10035: 9399: 8776: 7296: 7216:. Columbia University, Columbia Climate School, Climate, Earth, Society 6911: 6761: 6249: 6247: 6220: 5117: 4634: 4629:. National Centers for Environmental Information (NCDC, part of NOAA). 4554: 3715: 3698: 2941: 2360: 2276: 1924: 1508: 1304: 1244: 1229: 1160: 1088: 201: 7318: 6480: 6455: 6092: 5957: 5851: 5495: 4622: 4524: 4210:. Sveriges Riksbank Working Paper Series, No. 369. Sveriges Riksbank. 3677: 3273: 3251: 3200:
What do we learn from the weather? The new climate-economy literature.
2050: 1141:
Effects of climate change on agriculture § Labour and economic effects
130:. The costs of planning, preparing for, facilitating and implementing 10308: 10238: 9595: 8349: 7780:
Climate Change 1995: Economic and Social Dimensions of Climate Change
6353: 5418:"Nearly $ 2tn of damage inflicted on other countries by US emissions" 4331: 4205: 3911: 3800:
Report 95: Uncertainty Analysis of Climate Change and Policy Response
3656:
Cost-effectiveness analysis:: Decision Support Methods for Adaptation
3024: 3022: 2333: 2229: 2227: 1785: 1365: 1080: 1064: 898: 675: 88: 6278:
Kotz, Mazimilian.; Levermann, Anders; Wenz, Leonie (17 April 2024).
6244: 5543:"International Labour Organization Warns of Heat-Related Job Losses" 3542: 2418:
Intergovernmental Panel on Climate Change Staff. (26 January 2015).
1693:
Kotz, Mazimilian.; Levermann, Anders; Wenz, Leonie (17 April 2024).
399:
Integrated assessment modelling § Aggregate cost-benefit models
353:
Integrated assessment modelling § Aggregate cost-benefit models
10087: 7107:
Herweijer, Celine; Ranger, Nicola; Ward, Robert E T (1 July 2009).
6271: 6163: 6161: 5873: 5358:
Kotz, Maximilian; Levermann, Anders; Wenz, Leonie (17 April 2024).
5200:
The missing economic risks in assessments of climate change impacts
3094: 1611: 1591: 1566: 1524: 1068: 1006: 886:. The same set of scenarios are used in all of the climate models. 437:. Values over time are then discounted to produce their equivalent 197: 4366:
International Encyclopedia of the Social & Behavioral Sciences
3892: 3120: 3028: 3019: 2968:; Kriegler, Elmar; Krey, Volker; Riahi, Keywan (15 October 2018). 2224: 1075:
industries. Other sectors sensitive to climate change include the
10738: 8327: 7985: 6768: 6336:"Below 1.5°C: a breakthrough roadmap to solve the climate crisis" 5969: 4249:, Cambridge, UK, and New York, N.Y.: Cambridge University Press, 3859:. Cambridge, UK, and New York, N.Y.: Cambridge University Press. 1418:
Climate finance § Adaptation costs and adaptation financing needs
1190: 1084: 1072: 6666:"How to fight the affordable housing and climate crises at once" 6521:"Carmignac Sees Energy Transition Fueling Inflation This Decade" 6183: 6158: 4396:"Government publishes UK's Third Climate Change Risk Assessment" 3970:
Grippa, Pierpaolo; Schmittmann, Jochen; Suntheim, Felix (2019).
3889:"Chapter Four: A Framework for Making America's Climate Choices" 1887: 1462:
A second approach has been suggested based on economics and the
674:(people and organizations) can diversify their own risk through 265:
climate scenarios 2022, based on the REMIND-MAgPIE model by the
10697: 9335: 7342: 6751:
Hallegatte, Stephane; Rentschler, Jun; Rozenberg, Julie. 2019.
5752: 4594: 4082:. Arlington, Virginia, USA: Pew Center on Global Climate Change 3536: 3534: 3449:"Limitations of integrated assessment models of climate change" 3126: 3031:"Emergence of New Economics Energy Transition Models: A Review" 2247:, Journal of Environmental Quality, vol. 38, p. 837, 1479: 1268: 713:
to examine a range of estimates and what happens at extremes.
490:
Economics of climate change mitigation § Decision analysis
280: 6477:
Chapter 3: Mitigation pathways compatible with long-term goals
5300:
Global Development and Environment Institute, Tufts University
2873: 2572: 1539:
Effects of economic growth and degrowth scenarios on emissions
1410: 1283: 9249:
Cooperative Mechanisms under Article 6 of the Paris Agreement
8337: 7979: 7519: 7113:
The Geneva Papers on Risk and Insurance - Issues and Practice
5723:
Climate Change Impacts and Adaptation: A Canadian Perspective
5492:
Health, Wellbeing, and the Changing Structure of Communities.
5291:
Harris, Jonathan M.; Roach, Brian; Codur, Anne-Marie (2015).
4420:
United Nations Environment Programme (UNEP) (November 2012),
4038: 4008:, in Core Writing Team; Pachauri, R.K; Reisinger, A. (eds.), 3658:, MEDIATION Project, Briefing Note 2. Funded by the EC's 7FWP 3446: 1548:
of the poorest 50% could increase by a factor of about three.
1260:
with a potential ripple affect throughout the world economy.
1182: 563:
associated with global warming have led analysts to develop "
9564: 5435:
Callahan, Christopher W.; Mankin, Justin S. (12 July 2022).
5326:"Climate Change's Giant Impact on the Economy: 4 Key Issues" 5272:"Climate emergency: world "may have crossed tipping points"" 5194: 4957:"How is climate change affecting food prices and inflation?" 4274: 4272: 3531: 2783: 2393:
NGFS Climate Scenario Database: Technical Documentation V3.1
2133:"Stranded Assets in the Transition to a Carbon-Free Economy" 593:. Future economic developments can, for example, affect how 7940: 7884: 7829:(2001), Metz, B.; Davidson, O.; Swart, R.; Pan, J. (eds.), 7826: 7773: 7693: 7638: 7620: 7455: 7263:
Cozzi, Laura; Chen, Olivia; Kim, Hyeji (22 February 2023).
6566:"Climate change driving up inflation in food prices: Study" 3346: 1786: 1750:
Wang, Zheng; Wu, Jing; Liu, Changxin; Gu, Gaoxiang (2017).
695: 650: 528:
Scaling the effect of wealth to the national level: richer
7699:
Climate Change 2007: Impacts, Adaptation and Vulnerability
7645:
Climate Change 2001: Impacts, Adaptation and Vulnerability
4051:
Climate Change 2007: Impacts, Adaptation and Vulnerability
3830:
Climate Change 2007: Impacts, Adaptation and Vulnerability
3752:
Climate Change 2007: Impacts, Adaptation and Vulnerability
3373: 3371: 3369: 3367: 3365: 2963: 2823: 2215:
Climate Change 2007: Impacts, Adaptation and Vulnerability
1527:. The Swiss Re assessment found that annual output by the 9425:
Illustrative model of greenhouse effect on climate change
6968:"Global warming has increased global economic inequality" 6892:"Climate-change policy: why has so little been achieved?" 4269: 4003:"Table SPM.1. In (book chapter) Summary for Policymakers" 3969: 3886: 3552: 2451:
Intergovernmental Panel on Climate Change, issuing body.
2131:
van der Ploeg, Frederick; Rezai, Armon (6 October 2020).
1622:
is highly unlikely to be achieved fast enough to prevent
1599: 1240: 7589:
IPCC AR5 WG2 A (2014), Field, C.B.; et al. (eds.),
7286: 3642:. J. Glob. Econ. Anal., 1(2), doi:10.21642/JGEA.010202AF 2970:"A new scenario resource for integrated 1.5 °C research" 2660: 1752:
Integrated Assessment Models of Climate Change Economics
1028:, with no statistical difference for Central Asia/Russia 815: 601:
might be, as well as the level of future GHG emissions.
302: 200:
away from other socially and environmentally beneficial
103:. Economic analysis of climate change is challenging as 6730: 6728: 6726: 6724: 6722: 6720: 6718: 6716: 6039:"The Social Cost of Carbon and its Policy Implications" 3440: 3362: 3284: 3282: 3075: 2876:"WITCH - A World Induced Technical Change Hybrid Model" 2204: 2202: 857:" with which they can explore different possibilities. 698:= probability of an impact × magnitude of the impact). 7228: 6081: 6010: 4431:, Nairobi, Kenya: UNEP, pp. 28–29, archived from 4429:
The Emissions Gap Report 2012: A UNEP Synthesis Report
4203: 4014:, Contribution of Working Groups I, II and III to the 2734: 2277:
Shindell D; Faluvegi G; Seltzer K; Shindell C (2018).
1221:. This could then increase crop prices by around 5%. 932: 597:
society is to future climate change, what the future
247:
Integrated assessment modelling § Process-based models
52:. It can also give guidance for the best policies for 10674: 9266:
United Nations Framework Convention on Climate Change
7776:(1996), Bruce, J. P.; Lee, H.; Haites, E. F. (eds.), 6404:"The crucial intersection between gender and climate" 5662:
Kang, Suchul; Eltahir, Elfatih A. B. (31 July 2018).
4204:
Hassler, John; Krusell, Per; Olovsson, Conny (2019).
3674:
Chapter 17: Decision-Making Options for Managing Risk
2702: 810: 327:
to estimate how an economy might react to changes in
6713: 5954:
Chapter 5: Food, Fibre, and Other Ecosystem Products
5437:"National attribution of historical climate damages" 5216:
Krogstrup, Signe; Oman, William (4 September 2019).
5209: 3506:"The economics of avoiding action on climate change" 3279: 2919: 2199: 878:
compared the latest estimates of many modelling and
733:
as part of their policy response to global warming.
367: 289:(such as E3ME), and agent-based models (such as the 7241:. United Nations Environment Programme. p. xxv 7106: 5155: 3198:Dell, M., Jones, B. F., & Olken, B. A. (2014). 2632:. PBL Netherlands Environmental Assessment Agency. 2627: 2511: 2270: 1334:estimated this at more than $ 5 trillion per year. 1263: 7777: 7642: 7462:Keyßer, Lorenz T.; Lenzen, Manfred (11 May 2021). 7292:"World Scientists' Warning of a Climate Emergency" 6547:"The era of "climateflation" is here, study shows" 5408: 5188: 5081:Kompas, Tom; Pham, Van Ha; Che, Tuong Nhu (2018). 2130: 27:Using economic tools to investigate climate change 7890:Climate Change 2007: Mitigation of Climate Change 6693: 6277: 5357: 4463: 3762: 3270:Social, Economic and Ethical Concepts and Methods 2241:Climate Change 2007: Mitigation of Climate Change 1692: 1503:Climate change and insurance in the United States 1159:, which is particularly vulnerable as widespread 801: 540:countries. 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Intergovernmental Panel on Climate Change. 7536: 7461: 7262: 5914: 5720: 4828: 4345: 4285: 4094: 4055: 3956: 3933: 3834: 3756: 3561: 3433: 3417: 3400: 3380: 3355: 3339: 3304: 3302: 3291: 2497:: CS1 maint: multiple names: authors list ( 2327: 2265: 2219: 1881: 1456: 1368:of added costs brought about as a result of 716: 8323:Atlantic meridional overturning circulation 7919:: CS1 maint: numeric names: authors list ( 7896:, Contribution of Working Group III to the 7868:: CS1 maint: numeric names: authors list ( 7838:, Contribution of Working Group III to the 7810:: CS1 maint: numeric names: authors list ( 7787:, Contribution of Working Group III to the 7737:: CS1 maint: numeric names: authors list ( 7679:: CS1 maint: numeric names: authors list ( 7610:: CS1 maint: numeric names: authors list ( 6926: 6855: 6280:"The economic commitment of climate change" 5819: 5661: 5360:"The economic commitment of climate change" 4716:World Meteorological Society (WMO) (2021). 1749: 1695:"The economic commitment of climate change" 1602:, have been neglected in considerations of 1411:Costs of climate change adaptation measures 1284:Costs of climate change mitigation measures 1272:Projected economic impacts of 2 degrees of 916: 211: 10731: 10717: 9587: 9573: 9547: 9535: 8992: 8008: 7994: 7702:, Contribution of Working Group II to the 7649:, Contribution of Working Group II to the 6935: 6587: 6111: 6036: 5917:Canadian Journal of Agricultural Economics 5822:"Climate Change, Agriculture, and Poverty" 5269: 4981: 4689: 4368:, Oxford: Pergamon, pp. 13917–13922, 4107:American Economic Journal: Economic Policy 3940: 3797:Webster, M.; et al. 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International Energy Agency (IEA). 6663: 6631: 6359: 5481: 5323: 5152:from the original on 12 January 2023. 5031:from the original on 15 November 2019 4800: 4798: 4722:https://library.wmo.int/idurl/4/57564 4679:from the original on 11 January 2022. 4641:from the original on 10 December 2020 4609:from the original on 13 January 2024. 4483: 4481: 4044: 4011:Climate Change 2007: Synthesis Report 3745: 3696: 3650: 3648: 3503: 3497: 3264: 3262: 3260: 3194: 3192: 3190: 3174: 3172: 2091: 2082: 2069: 1836: 1809:from the original on 19 December 2019 816:At the global level (aggregate costs) 772: 303:Computable general equilibrium models 9483:Representative Concentration Pathway 8429:Tipping points in the climate system 8105:Carbon dioxide in Earth's atmosphere 7395: 7234: 7201: 6576: 6493:Horowitz, Julia (13 December 2022). 6453: 5786:Gale J, Olmos S (4 September 2021). 4726: 4702:from the original on 17 April 2024. 4664:from the original on 8 January 2021. 4072: 4061: 4000: 3823: 3661: 3610: 3604: 3576:Downing, T. 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L.; et al., 2012:10.59117/20.500.11822/43796 1629: 1535:prices a variety of risks. 1332:International Monetary Fund 1251: 1239:take up 0.4% of the global 625:cost-effectiveness analysis 495:Cost-Effectiveness Analysis 484:Cost-effectiveness analysis 333:applied general equilibrium 208:of climate change policy). 138: 18:Economics of global warming 10: 10979: 10196:Real business-cycle theory 9305:Global surface temperature 9196:Popular culture depictions 9108:Ecosystem-based adaptation 8838:Carbon capture and storage 8760:Carbon offsets and credits 8076: 7949:London School of Economics 7581: 7488:10.1038/s41467-021-22884-9 7371:10.1038/s41467-020-16941-y 6462:Cambridge University Press 6304:10.1038/s41586-024-07219-0 5689:10.1038/s41467-023-38906-7 5462:10.1007/s10584-022-03387-y 5384:10.1038/s41586-024-07219-0 4855:10.1038/s41467-020-15453-z 4818:10.1038/s41467-023-41888-1 3927:Halsnæs, K.; et al., 2526:10.1016/j.jedc.2008.12.007 1791:"Summary for Policymakers" 1719:10.1038/s41586-024-07219-0 1564: 1500: 1415: 1310: 1138: 1098: 1036: 634: 552: 549:Scenario-based assessments 487: 396: 371: 350: 307: 244: 230:Structural economic models 124:cost of climate adaptation 10744: 10636: 10594: 10236: 9970: 9719: 9684: 9602: 9517:Climate change portal 9504: 9443: 9410:Extreme event attribution 9328: 9297: 9293: 9282: 9226: 9161: 9083: 9033:School Strike for Climate 9005: 9001: 8987: 8956: 8912:Climate-smart agriculture 8873: 8830: 8740: 8736: 8723: 8647: 8505: 8452: 8295: 8291: 8278: 8201: 8190: 8119: 8088: 8084: 8071: 8054:Climate change adaptation 8049:Climate change mitigation 8044:Effects of climate change 8034: 8023: 7238:Emissions Gap Report 2020 6372:10.1007/978-3-030-05843-2 6190:Environment International 6101:10.1017/9781009157896.022 5997:10.1007/s10584-016-1606-4 5772:10.1007/s12571-012-0194-z 5603:World Health Organization 5504:10.1017/9781009325844.009 5230:10.5089/9781513511955.001 5162:Current Issues in Tourism 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change 8142:Greenhouse gas emissions 8039:Causes of climate change 7898:Fourth Assessment Report 7789:Second Assessment Report 7704:Fourth Assessment Report 6408:European Investment Bank 5730:Natural Resources Canada 4348:, p. 26 (32 of PDF) 4016:Fourth Assessment Report 3703:American Economic Review 2852:10.5194/gmd-14-6571-2021 2705:Post-2020 Climate Action 2390:Oliver Richters et al.: 2183:Summary for Policymakers 1590:Some studies found that 1350:marginal abatement costs 1293:greenhouse gas emissions 1247:region by the year 2100. 1051:Climate change in Europe 1039:Climate change in Africa 1026:statistical significance 1001:According to a study by 917:High emissions scenarios 826:statistical significance 795:climate change scenarios 259:greenhouse gas emissions 212:Types of economic models 74:climate change scenarios 50:caused by climate change 9836:Industrial organization 9659:Computational economics 9451:Climate change scenario 9103:Disaster risk reduction 8755:Carbon emission trading 8565:U.S. insurance industry 8540:Civilizational collapse 8387:sea surface temperature 7840:Third Assessment Report 7651:Third Assessment Report 6993:10.1073/pnas.1816020116 6765:License: CC BY 3.0 IGO. 6430:"Finance & Justice" 5627:"Letters to the editor" 4491:Funded by the EC's 7FWP 3082:Energy Strategy Reviews 2762:10.5194/gmd-12-677-2019 2453:Global warming of 1.5°C 1656:Environmental economics 1571:Eco-economic decoupling 1464:social welfare function 1364:is the contribution to 1120:affected is agriculture 1095:Health and productivity 884:socioeconomic scenarios 555:Climate change scenario 536:per person than poorer 364:economic implications. 185:sustainable development 181:mitigate climate change 10041:Modern monetary theory 9706:Experimental economics 9676:Pluralism in economics 9649:Mathematical economics 9444:Research and modelling 9128:Nature-based solutions 8948:Nature-based solutions 8890:Carbon dioxide removal 8807:Fossil fuel divestment 8792:Climate risk insurance 8702:Small island countries 8318:Arctic sea ice decline 6060:10.1093/oxrep/19.3.362 5901:10.1186/2048-7010-1-10 5050:Koning Beals, Rachel. 4660:. NOAA. January 2021. 3578:"2. Methods and Tools" 2406:10.5281/zenodo.5782903 2261:10.2134/jeq2008.0024br 1562: 1549: 1441:Challenges and debates 1276: 1170:extreme weather events 1165: 1060: 1043:Climate change in Asia 1029: 985: 942: 836: 828: 545: 532:countries emit more CO 514:disaggregated analysis 476: 449:compensation principle 287:evolutionary economics 269: 41: 10958:Climate change policy 9405:Earth's energy budget 9288:Background and theory 9176:Climate crisis (term) 8848:Fossil fuel phase-out 8742:Economics and finance 8707:by individual country 8649:By country and region 8624:Security and conflict 8619:Psychological impacts 8303:Abrupt climate change 8226:Charles David Keeling 8059:By country and region 7543:New Political Economy 7468:Nature Communications 7449:10 April 2023 at the 7350:Nature Communications 7310:10.1093/biosci/biz088 6171:HM Treasury, London: 5668:Nature Communications 4696:Associated Press News 4475:, HL 12-II (evidence) 3504:Spash, C. L. (2008). 2977:Nature Climate Change 1875:HM Treasury, London: 1661:Social cost of carbon 1555: 1546: 1497:Insurance and markets 1446:Efficiency and equity 1345:Cost–benefit analysis 1271: 1150: 1058: 1023: 982: 940: 847:International dollars 834: 823: 767:biomes and ecosystems 703:cost-benefit analysis 627:of climate policies. 621:cost–benefit analysis 527: 466: 435:certainty equivalents 405:cost–benefit analysis 393:Cost–benefit analysis 388:Analytical frameworks 256: 189:fossil fuel subsidies 166:social cost of carbon 62:cost–benefit analysis 35: 9915:Social choice theory 9671:Behavioral economics 9654:Complexity economics 9234:Glasgow Climate Pact 8895:Carbon sequestration 8465:Mass mortality event 6908:10.1093/oxrep/grn014 6258:Oxford Martin School 5605:. 2018. p. 52. 5108:10.1029/2018EF000922 4804:Newman, R., Noy, I. 4611:Click "Access data". 4156:Ecological Economics 4120:10.1257/pol.20170046 3133:Ecological Economics 3035:Ecological Economics 2795:10.2139/ssrn.2697070 2346:(10211): 1836–1878. 1983:Oxford Martin School 1646:Ecological economics 1575:Ecological economics 1484:developing countries 991:developing countries 969:loss of biodiversity 644:uncertainty analysis 591:economic development 240:Process-based models 115:are also uncertain. 9999:American (National) 9699:Economic statistics 9373:Climate sensitivity 9148:The Adaptation Fund 8604:Infectious diseases 8506:Social and economic 7945:University of Leeds 7767:HL 12-II (evidence) 7720:on 10 November 2018 7480:2021NatCo..12.2676K 7363:2020NatCo..11.3107W 7214:State of the Planet 7126:10.1057/gpp.2009.13 7052:10.1257/jep.23.2.29 6984:2019PNAS..116.9808D 6296:2024Natur.628..551K 6202:2020EnInt.13605513S 6089:Annex VII: Glossary 6069:on 19 February 2009 5988:2016ClCh..136..189H 5929:2011CaJAE..59...19K 5892:2012AgFS....1...10B 5843:10.1093/aepp/ppq016 5680:2023NatCo..14.3528K 5453:2022ClCh..172...40C 5376:2024Natur.628..551K 5099:2018EaFut...6.1153K 4847:2020NatCo..11.1624W 4473:House of Lords 2005 4168:2018EcoEc.154...99E 3775:The Washington Post 3468:2009ClCh...95..297A 2989:2018NatCC...8.1027H 2891:10.2139/ssrn.948382 2843:2021GMD....14.6571B 2753:2019GMD....12..677C 2295:2018NatCC...8..291S 2253:2009JEnvQ..38..837V 1906:2020EnInt.13605513S 1799:IPCC AR5 WG2 A 2014 1711:2024Natur.628..551K 1513:developed countries 1491:economic inequality 842:confidence interval 690:. However, from a 688:climate sensitivity 584:climate sensitivity 191:which would reduce 8944:(LULUCF and AFOLU) 8916:Forest management 8900:Direct air capture 8865:Sustainable energy 8822:Net zero emissions 8817:Low-carbon economy 8812:Green Climate Fund 8599:Indigenous peoples 8497:Plant biodiversity 8285:Effects and issues 7957:. 2020 lecture by 7187:Swiss Re Institute 7162:The New York Times 6167:Stern, N. (2006). 6151:2009-12-11 at the 5792:The New York Times 5330:The New York Times 4675:. 6 October 2017. 4635:10.25921/stkw-7w73 3716:10.1257/aer.98.2.1 3403:, pp. 130–131 3294:, pp. 184–185 3223:Annex II: Glossary 2964:Huppmann, Daniel; 2942:10.3390/en12091747 1965:2009-12-11 at the 1871:Stern, N. (2006). 1563: 1550: 1533:insurance industry 1277: 1203:Sub-Saharan Africa 1166: 1061: 1030: 986: 943: 903:insurance premiums 837: 829: 773:Portfolio analysis 678:and other markets. 546: 477: 424:willingness to pay 270: 226:Econometric models 101:ecosystem services 42: 10940: 10939: 10672: 10671: 10203:New institutional 9562: 9561: 9500: 9499: 9496: 9495: 9435:Radiative forcing 9278: 9277: 9274: 9273: 9098:Adaptive capacity 8983: 8982: 8979: 8978: 8843:Energy transition 8719: 8718: 8715: 8714: 8434:Tropical cyclones 8360:Urban heat island 8274: 8273: 8186: 8185: 8182: 8181: 8147:Carbon accounting 8101:Greenhouse effect 8067: 8066: 7927:978-0-521-70598-1 7907:978-0-521-88011-4 7849:978-0-521-80769-2 7798:978-0-521-56051-1 7745:978-0-521-70597-4 7713:978-0-521-88010-7 7660:978-0-521-80768-5 7288:Ripple, William J 6978:(20): 9808–9813. 6952:978-0-521-56854-8 6869:978-0-19-957328-8 6835:978-0-521-88011-4 6791:978-0-521-56854-8 6428:Nations, United. 6290:(8008): 551–557. 6142:Technical Summary 5612:978-92-4-151497-2 5370:(8008): 551–557. 5240:978-1-5135-1195-5 5154:— Bucholz cites 4812:14, 6103 (2023). 4768:978-3-319-72026-5 4532:World Development 4375:978-0-08-043076-8 4346:IPCC SAR WG3 1996 4317:978-0-521-88011-4 4286:IPCC TAR WG3 2001 4256:978-0-521-88011-4 4056:IPCC AR4 WG2 2007 4025:978-92-9169-122-7 3957:IPCC SAR WG3 1996 3934:IPCC AR4 WG3 2007 3904:978-0-309-14585-5 3866:978-0-521-88011-4 3835:IPCC AR4 WG2 2007 3757:IPCC AR4 WG2 2007 3562:IPCC SAR WG3 1996 3434:IPCC TAR WG2 2001 3418:IPCC TAR WG2 2001 3401:IPCC SAR WG3 1996 3381:IPCC SAR WG3 1996 3356:IPCC TAR WG2 2001 3340:IPCC TAR WG2 2001 3292:IPCC SAR WG3 1996 2983:(12): 1027–1030. 2837:(10): 6571–6603. 2575:Calvin, Katherine 2266:IPCC AR4 WG3 2007 2220:IPCC AR4 WG2 2007 2098:Knowable Magazine 1956:Technical Summary 1705:(8008): 551–557. 1651:Energy transition 1405:Climate migration 1391:housing shortages 1387:Natural disasters 1226:North China Plain 1187:Canadian Prairies 1157:North China Plain 751:parts per million 506:decision analysis 374:Econometric model 298:Structural models 206:opportunity costs 16:(Redirected from 10970: 10733: 10726: 10719: 10710: 10709: 10701: 10700: 10689: 10688: 10687: 10680: 9876:Natural resource 9711:Economic history 9637:Mechanism design 9589: 9582: 9575: 9566: 9565: 9550: 9549: 9538: 9537: 9526: 9525: 9515: 9514: 9513: 9478:Paleoclimatology 9295: 9294: 9284: 9283: 9045:Ecological grief 9028:Climate movement 9003: 9002: 8989: 8988: 8969:Plant-based diet 8860:Renewable energy 8738: 8737: 8725: 8724: 8560:Economic impacts 8487:Invasive species 8343:Coastal flooding 8293: 8292: 8280: 8279: 8216:Svante Arrhenius 8192: 8191: 8162:from agriculture 8152:Carbon footprint 8137:Greenhouse gases 8086: 8085: 8073: 8072: 8025: 8024: 8010: 8003: 7996: 7987: 7986: 7959:William Nordhaus 7924: 7918: 7910: 7895: 7873: 7867: 7859: 7858: 7856: 7837: 7815: 7809: 7801: 7786: 7783: 7763:HL 12-I (report) 7760: 7742: 7736: 7728: 7727: 7725: 7716:, archived from 7684: 7678: 7670: 7669: 7667: 7648: 7634: 7632: 7615: 7609: 7601: 7575: 7574: 7534: 7528: 7523:Available under 7522: 7517: 7507: 7459: 7453: 7444:Alternative Link 7442: 7440: 7438: 7424: 7418: 7417: 7415: 7413: 7399: 7393: 7392: 7382: 7340: 7334: 7333: 7328: 7326: 7321: 7284: 7278: 7276: 7260: 7251: 7250: 7248: 7246: 7232: 7226: 7225: 7223: 7221: 7205: 7199: 7198: 7196: 7194: 7179: 7173: 7172: 7170: 7168: 7153: 7147: 7146: 7128: 7104: 7098: 7097: 7095: 7093: 7079: 7073: 7072: 7054: 7030: 7024: 7023: 7013: 6995: 6963: 6957: 6956: 6944: 6933: 6924: 6923: 6921: 6919: 6910:. Archived from 6887: 6881: 6880: 6878: 6876: 6853: 6847: 6846: 6844: 6842: 6827: 6818: 6809: 6803: 6802: 6800: 6798: 6783: 6772: 6766: 6764: 6749: 6743: 6732: 6711: 6710: 6708: 6706: 6691: 6685: 6684: 6678: 6676: 6661: 6655: 6654: 6652: 6650: 6635: 6629: 6628: 6617: 6611: 6610: 6602: 6600: 6585: 6574: 6573: 6561: 6555: 6554: 6542: 6536: 6535: 6533: 6531: 6516: 6510: 6509: 6507: 6505: 6490: 6484: 6473: 6467: 6465: 6451: 6445: 6444: 6442: 6440: 6425: 6419: 6418: 6416: 6414: 6400: 6394: 6393: 6357: 6351: 6350: 6348: 6346: 6332: 6326: 6325: 6315: 6275: 6269: 6268: 6266: 6264: 6251: 6242: 6241: 6223: 6213: 6181: 6175: 6165: 6156: 6138: 6132: 6131: 6129: 6127: 6109: 6103: 6085: 6079: 6078: 6076: 6074: 6068: 6062:. Archived from 6043: 6034: 6028: 6027: 6025: 6023: 6008: 6002: 6001: 5999: 5967: 5961: 5950: 5941: 5940: 5912: 5906: 5905: 5903: 5871: 5865: 5864: 5854: 5826: 5817: 5811: 5810: 5808: 5806: 5783: 5777: 5776: 5774: 5750: 5744: 5743: 5727: 5718: 5712: 5711: 5701: 5691: 5659: 5650: 5649: 5647: 5645: 5623: 5617: 5616: 5600: 5590: 5584: 5583: 5581: 5579: 5564: 5558: 5557: 5555: 5553: 5539: 5533: 5532: 5530: 5528: 5522: 5512: 5506: 5488: 5479: 5474: 5464: 5429: 5414:Chart based on: 5412: 5406: 5405: 5395: 5355: 5349: 5348: 5346: 5344: 5321: 5315: 5310: 5304: 5303: 5297: 5288: 5282: 5281: 5267: 5261: 5260: 5232: 5222: 5213: 5207: 5206: 5204: 5192: 5186: 5185: 5153: 5137: 5131: 5130: 5120: 5110: 5093:(8): 1153–1173. 5078: 5072: 5071: 5069: 5067: 5047: 5041: 5040: 5038: 5036: 5030: 5017: 5008: 4999: 4998: 4996: 4994: 4979: 4973: 4972: 4970: 4968: 4953: 4947: 4946: 4944: 4942: 4927: 4921: 4920: 4909: 4903: 4902: 4900: 4898: 4883: 4877: 4876: 4866: 4826: 4820: 4802: 4793: 4778: 4772: 4771: 4760: 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3529: 3528: 3526: 3524: 3510: 3501: 3495: 3494: 3492: 3490: 3462:(3–4): 297–315. 3453: 3444: 3438: 3437: 3428: 3422: 3421: 3412: 3406: 3405: 3395: 3386: 3385: 3375: 3360: 3359: 3350: 3344: 3343: 3334: 3328: 3327: 3325: 3323: 3317: 3306: 3297: 3296: 3286: 3277: 3266: 3255: 3243: 3237: 3219: 3210: 3196: 3185: 3176: 3167: 3166: 3156: 3124: 3118: 3117: 3107: 3097: 3073: 3067: 3066: 3026: 3017: 3016: 2974: 2961: 2955: 2954: 2944: 2926: 2917: 2911: 2910: 2880: 2871: 2865: 2864: 2854: 2821: 2815: 2814: 2781: 2775: 2774: 2764: 2732: 2726: 2725: 2700: 2694: 2693: 2667: 2658: 2652: 2651: 2625: 2619: 2618: 2608: 2598: 2570: 2564: 2563: 2561: 2559: 2544: 2538: 2537: 2520:(9): 1648–1661. 2509: 2503: 2502: 2496: 2488: 2471: 2465: 2464: 2448: 2442: 2441: 2415: 2409: 2388: 2382: 2381: 2363: 2331: 2325: 2324: 2314: 2274: 2268: 2263: 2246: 2231: 2222: 2217: 2206: 2197: 2179: 2173: 2172: 2162: 2152: 2128: 2119: 2118: 2116: 2114: 2109: 2089: 2080: 2079: 2067: 2061: 2043: 2014: 2000: 1994: 1993: 1991: 1989: 1976: 1970: 1952: 1946: 1945: 1927: 1917: 1885: 1879: 1869: 1863: 1862: 1860: 1858: 1852: 1843: 1834: 1819: 1818: 1816: 1814: 1808: 1795: 1783: 1774: 1773: 1747: 1741: 1740: 1730: 1690: 1606:reported by the 1604:1.5 °C scenarios 1598:such as current 1596:economic metrics 1301:greenhouse gases 947:tail-risk events 876:2022 IPCC report 779:portfolio theory 612:produced by the 459:Damage functions 323:that use actual 109:policy responses 21: 10978: 10977: 10973: 10972: 10971: 10969: 10968: 10967: 10943: 10942: 10941: 10936: 10740: 10737: 10707: 10695: 10685: 10683: 10675: 10673: 10668: 10665:Business portal 10632: 10631: 10630: 10590: 10354:von Böhm-Bawerk 10242: 10241: 10232: 10004:Ancient thought 9982: 9981: 9975: 9966: 9965: 9964: 9715: 9680: 9632:Contract theory 9617:Decision theory 9598: 9593: 9563: 9558: 9511: 9509: 9492: 9439: 9430:Orbital forcing 9324: 9289: 9270: 9244:Paris Agreement 9222: 9218:Warming stripes 9157: 9123:Managed retreat 9118:Loss and damage 9079: 9013:Business action 8997: 8975: 8952: 8875: 8869: 8826: 8787:Climate finance 8732: 8711: 8643: 8501: 8477:Extinction risk 8453:Flora and fauna 8448: 8409:Permafrost thaw 8404:Ozone depletion 8333:Extreme weather 8287: 8270: 8197: 8178: 8115: 8080: 8063: 8030: 8019: 8014: 7982:finance advisor 7963:Yale University 7937: 7932: 7912: 7911: 7908: 7893: 7861: 7860: 7854: 7852: 7850: 7835: 7803: 7802: 7799: 7784: 7730: 7729: 7723: 7721: 7714: 7672: 7671: 7665: 7663: 7661: 7630: 7603: 7602: 7584: 7579: 7578: 7535: 7531: 7460: 7456: 7451:Wayback Machine 7436: 7434: 7426: 7425: 7421: 7411: 7409: 7401: 7400: 7396: 7341: 7337: 7324: 7322: 7285: 7281: 7261: 7254: 7244: 7242: 7233: 7229: 7219: 7217: 7206: 7202: 7192: 7190: 7189:. 22 April 2021 7181: 7180: 7176: 7166: 7164: 7154: 7150: 7105: 7101: 7091: 7089: 7081: 7080: 7076: 7031: 7027: 6964: 6960: 6953: 6942: 6934: 6927: 6917: 6915: 6888: 6884: 6874: 6872: 6870: 6854: 6850: 6840: 6838: 6836: 6825: 6816: 6810: 6806: 6796: 6794: 6792: 6781: 6773: 6769: 6760: 6750: 6746: 6733: 6714: 6704: 6702: 6692: 6688: 6674: 6672: 6662: 6658: 6648: 6646: 6636: 6632: 6627:. 23 July 2024. 6619: 6618: 6614: 6598: 6596: 6586: 6577: 6562: 6558: 6543: 6539: 6529: 6527: 6517: 6513: 6503: 6501: 6491: 6487: 6474: 6470: 6452: 6448: 6438: 6436: 6426: 6422: 6412: 6410: 6402: 6401: 6397: 6382: 6358: 6354: 6344: 6342: 6334: 6333: 6329: 6276: 6272: 6262: 6260: 6253: 6252: 6245: 6182: 6178: 6166: 6159: 6153:Wayback Machine 6139: 6135: 6125: 6123: 6110: 6106: 6086: 6082: 6072: 6070: 6066: 6041: 6035: 6031: 6021: 6019: 6009: 6005: 5976:Climatic Change 5968: 5964: 5951: 5944: 5913: 5909: 5872: 5868: 5824: 5818: 5814: 5804: 5802: 5784: 5780: 5751: 5747: 5740: 5725: 5719: 5715: 5660: 5653: 5643: 5641: 5625: 5624: 5620: 5613: 5598: 5592: 5591: 5587: 5577: 5575: 5566: 5565: 5561: 5551: 5549: 5541: 5540: 5536: 5526: 5524: 5520: 5514: 5513: 5509: 5489: 5482: 5441:Climatic Change 5413: 5409: 5356: 5352: 5342: 5340: 5322: 5318: 5311: 5307: 5295: 5289: 5285: 5268: 5264: 5241: 5220: 5214: 5210: 5202: 5193: 5189: 5138: 5134: 5079: 5075: 5065: 5063: 5048: 5044: 5034: 5032: 5028: 5024:. p. 256. 5015: 5009: 5002: 4992: 4990: 4980: 4976: 4966: 4964: 4955: 4954: 4950: 4940: 4938: 4928: 4924: 4919:. 23 July 2024. 4911: 4910: 4906: 4896: 4894: 4884: 4880: 4827: 4823: 4803: 4796: 4779: 4775: 4769: 4744: 4740: 4731: 4727: 4715: 4711: 4688: 4684: 4667: 4666:For 2021 data: 4652: 4644: 4642: 4619: 4615: 4601: 4599: 4595: 4586: 4579: 4523: 4519: 4502: 4495: 4486: 4479: 4462: 4458: 4441: 4439: 4435: 4424: 4418: 4414: 4404: 4402: 4394: 4393: 4389: 4380: 4378: 4376: 4358: 4354: 4341: 4332: 4322: 4320: 4318: 4307: 4295: 4291: 4277: 4270: 4261: 4259: 4257: 4246: 4234: 4230: 4220: 4218: 4202: 4198: 4188: 4186: 4148: 4144: 4099: 4095: 4085: 4083: 4079: 4071: 4062: 4043: 4039: 4030: 4028: 4026: 4005: 3999: 3995: 3985: 3983: 3968: 3964: 3952: 3941: 3925: 3912: 3905: 3885: 3881: 3871: 3869: 3867: 3856: 3844: 3840: 3822: 3818: 3809: 3807: 3803: 3795: 3786: 3767: 3763: 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1835: 1822: 1812: 1810: 1806: 1793: 1784: 1777: 1770: 1748: 1744: 1691: 1674: 1669: 1641:Climate finance 1632: 1585: 1580:Economic growth 1577: 1559: 1556:Though total CO 1541: 1505: 1499: 1448: 1443: 1438: 1437: 1421: 1413: 1399: 1378: 1359: 1354: 1353: 1316: 1286: 1266: 1258:stranded assets 1254: 1249: 1248: 1199:labour capacity 1144: 1136: 1103: 1097: 1053: 1037:Main articles: 1035: 977: 935: 927:Paris Agreement 919: 818: 813: 804: 775: 756: 748: 731:risk management 723:decision making 719: 692:risk management 672:economic agents 639: 633: 631:Risk management 557: 551: 535: 492: 486: 461: 401: 395: 390: 376: 370: 355: 349: 344: 343: 321:economic models 313: 305: 300: 295: 294: 261:in the various 250: 242: 214: 141: 28: 23: 22: 15: 12: 11: 5: 10976: 10966: 10965: 10960: 10955: 10953:Climate change 10938: 10937: 10935: 10930: 10925: 10923:United Kingdom 10920: 10915: 10910: 10905: 10900: 10895: 10890: 10885: 10880: 10875: 10870: 10865: 10860: 10855: 10850: 10845: 10840: 10835: 10830: 10825: 10820: 10815: 10810: 10805: 10800: 10795: 10790: 10785: 10780: 10775: 10770: 10765: 10760: 10755: 10750: 10745: 10742: 10741: 10736: 10735: 10728: 10721: 10713: 10706: 10705: 10693: 10691:Climate change 10670: 10669: 10667: 10662: 10657: 10652: 10647: 10642: 10637: 10634: 10633: 10629: 10628: 10623: 10613: 10608: 10602: 10601: 10600: 10598: 10592: 10591: 10589: 10588: 10581: 10576: 10571: 10566: 10561: 10556: 10551: 10546: 10541: 10536: 10531: 10526: 10521: 10516: 10511: 10506: 10501: 10496: 10491: 10486: 10481: 10476: 10471: 10466: 10461: 10456: 10451: 10446: 10441: 10436: 10431: 10426: 10421: 10416: 10411: 10406: 10401: 10396: 10391: 10386: 10381: 10376: 10371: 10366: 10361: 10356: 10351: 10346: 10341: 10336: 10331: 10326: 10321: 10316: 10311: 10306: 10301: 10296: 10291: 10286: 10281: 10276: 10271: 10266: 10261: 10256: 10251: 10245: 10243: 10237: 10234: 10233: 10231: 10230: 10225: 10220: 10215: 10210: 10205: 10200: 10199: 10198: 10188: 10187: 10186: 10176: 10171: 10166: 10165: 10164: 10154: 10149: 10144: 10143: 10142: 10141: 10140: 10130: 10125: 10110: 10105: 10100: 10095: 10090: 10085: 10080: 10075: 10070: 10068:Disequilibrium 10065: 10060: 10055: 10050: 10045: 10044: 10043: 10033: 10028: 10023: 10018: 10017: 10016: 10006: 10001: 9996: 9991: 9985: 9983: 9971: 9968: 9967: 9963: 9962: 9957: 9952: 9947: 9942: 9937: 9932: 9927: 9922: 9917: 9908: 9903: 9898: 9893: 9888: 9883: 9881:Organizational 9878: 9873: 9868: 9863: 9858: 9853: 9848: 9843: 9838: 9833: 9828: 9823: 9818: 9813: 9808: 9803: 9798: 9793: 9788: 9783: 9778: 9773: 9768: 9763: 9758: 9753: 9748: 9743: 9738: 9733: 9727: 9726: 9725: 9723: 9717: 9716: 9714: 9713: 9708: 9703: 9702: 9701: 9690: 9688: 9682: 9681: 9679: 9678: 9673: 9668: 9667: 9666: 9656: 9651: 9646: 9644:Macroeconomics 9641: 9640: 9639: 9634: 9629: 9624: 9619: 9612:Microeconomics 9608: 9606: 9600: 9599: 9592: 9591: 9584: 9577: 9569: 9560: 9559: 9557: 9556: 9544: 9532: 9520: 9505: 9502: 9501: 9498: 9497: 9494: 9493: 9491: 9490: 9485: 9480: 9475: 9474: 9473: 9463: 9458: 9453: 9447: 9445: 9441: 9440: 9438: 9437: 9432: 9427: 9422: 9417: 9412: 9407: 9402: 9397: 9396: 9395: 9385: 9383:Cloud feedback 9380: 9375: 9370: 9365: 9364: 9363: 9358: 9353: 9348: 9338: 9332: 9330: 9326: 9325: 9323: 9322: 9317: 9312: 9307: 9301: 9299: 9291: 9290: 9280: 9279: 9276: 9275: 9272: 9271: 9269: 9268: 9263: 9258: 9257: 9256: 9251: 9241: 9239:Kyoto Protocol 9236: 9230: 9228: 9224: 9223: 9221: 9220: 9215: 9214: 9213: 9208: 9203: 9193: 9191:Media coverage 9188: 9183: 9181:Climate spiral 9178: 9173: 9167: 9165: 9159: 9158: 9156: 9155: 9150: 9145: 9140: 9135: 9130: 9125: 9120: 9115: 9110: 9105: 9100: 9095: 9089: 9087: 9081: 9080: 9078: 9077: 9072: 9070:Public opinion 9067: 9062: 9057: 9052: 9047: 9042: 9037: 9036: 9035: 9025: 9020: 9018:Climate action 9015: 9009: 9007: 8999: 8998: 8985: 8984: 8981: 8980: 8977: 8976: 8974: 8973: 8972: 8971: 8960: 8958: 8954: 8953: 8951: 8950: 8945: 8939: 8938: 8937: 8932: 8930:REDD and REDD+ 8927: 8922: 8914: 8909: 8907:Carbon farming 8904: 8903: 8902: 8897: 8887: 8881: 8879: 8871: 8870: 8868: 8867: 8862: 8857: 8852: 8851: 8850: 8840: 8834: 8832: 8828: 8827: 8825: 8824: 8819: 8814: 8809: 8804: 8799: 8794: 8789: 8784: 8779: 8774: 8769: 8768: 8767: 8757: 8752: 8746: 8744: 8734: 8733: 8721: 8720: 8717: 8716: 8713: 8712: 8710: 8709: 8704: 8699: 8694: 8689: 8684: 8679: 8674: 8669: 8664: 8659: 8653: 8651: 8645: 8644: 8642: 8641: 8639:Water security 8636: 8634:Water scarcity 8631: 8629:Urban flooding 8626: 8621: 8616: 8611: 8606: 8601: 8596: 8591: 8590: 8589: 8579: 8574: 8569: 8568: 8567: 8557: 8552: 8547: 8542: 8537: 8532: 8527: 8526: 8525: 8520: 8509: 8507: 8503: 8502: 8500: 8499: 8494: 8489: 8484: 8482:Forest dieback 8479: 8474: 8469: 8468: 8467: 8456: 8454: 8450: 8449: 8447: 8446: 8441: 8436: 8431: 8426: 8421: 8419:Sea level rise 8416: 8411: 8406: 8401: 8400: 8399: 8394: 8392:stratification 8389: 8384: 8379: 8374: 8364: 8363: 8362: 8357: 8347: 8346: 8345: 8335: 8330: 8325: 8320: 8315: 8310: 8305: 8299: 8297: 8289: 8288: 8276: 8275: 8272: 8271: 8269: 8268: 8267: 8266: 8261: 8256: 8251: 8246: 8241: 8233: 8228: 8223: 8218: 8213: 8208: 8202: 8199: 8198: 8188: 8187: 8184: 8183: 8180: 8179: 8177: 8176: 8171: 8170: 8169: 8164: 8159: 8157:Carbon leakage 8154: 8149: 8139: 8134: 8129: 8123: 8121: 8117: 8116: 8114: 8113: 8108: 8098: 8096:Climate system 8092: 8090: 8082: 8081: 8069: 8068: 8065: 8064: 8062: 8061: 8056: 8051: 8046: 8041: 8035: 8032: 8031: 8021: 8020: 8017:Climate change 8013: 8012: 8005: 7998: 7990: 7984: 7983: 7965: 7952: 7936: 7935:External links 7933: 7931: 7930: 7906: 7880: 7879: 7848: 7822: 7821: 7797: 7770: 7749: 7748: 7712: 7690: 7659: 7635: 7617: 7585: 7583: 7580: 7577: 7576: 7549:(4): 469–486. 7529: 7454: 7419: 7394: 7357:(3107): 3107. 7335: 7279: 7252: 7227: 7200: 7174: 7148: 7119:(3): 360–380. 7099: 7074: 7025: 6958: 6951: 6925: 6902:(2): 211–238. 6882: 6868: 6848: 6834: 6804: 6790: 6767: 6744: 6712: 6686: 6656: 6630: 6612: 6575: 6556: 6537: 6511: 6485: 6468: 6464:. p. 300. 6446: 6434:United Nations 6420: 6395: 6381:978-3030058425 6380: 6352: 6327: 6270: 6243: 6176: 6157: 6133: 6122:on 8 June 2011 6104: 6080: 6054:(3): 362–384. 6029: 6003: 5982:(2): 189–202. 5962: 5942: 5907: 5866: 5837:(3): 355–385. 5812: 5778: 5765:(3): 381–397. 5745: 5738: 5713: 5651: 5633:. 9 May 2019. 5618: 5611: 5585: 5574:. 1 April 2019 5559: 5534: 5507: 5480: 5407: 5350: 5316: 5305: 5283: 5262: 5239: 5208: 5187: 5168:(3): 480–495. 5132: 5087:Earth's Future 5073: 5042: 5021:IPCC SR15 2018 5000: 4974: 4963:. 11 July 2024 4948: 4922: 4904: 4878: 4821: 4794: 4773: 4767: 4738: 4732:UNDRR (2023). 4725: 4709: 4682: 4613: 4593: 4577: 4517: 4493: 4477: 4456: 4438:on 13 May 2016 4412: 4387: 4374: 4352: 4330: 4316: 4289: 4268: 4255: 4228: 4196: 4142: 4113:(3): 333–360. 4093: 4060: 4037: 4024: 3993: 3962: 3939: 3910: 3903: 3879: 3865: 3838: 3816: 3784: 3761: 3738: 3689: 3660: 3644: 3631: 3603: 3568: 3551: 3530: 3496: 3439: 3423: 3407: 3387: 3361: 3345: 3329: 3298: 3278: 3256: 3238: 3211: 3186: 3168: 3119: 3068: 3018: 2956: 2912: 2866: 2816: 2776: 2747:(2): 677–698. 2727: 2721: 2695: 2653: 2638: 2620: 2565: 2539: 2504: 2466: 2443: 2429:978-1107654815 2428: 2410: 2383: 2326: 2289:(4): 291–295. 2269: 2223: 2198: 2174: 2143:(1): 281–298. 2120: 2081: 2062: 2015: 1995: 1971: 1947: 1880: 1864: 1820: 1802:. p. 12. 1775: 1768: 1742: 1671: 1670: 1668: 1665: 1664: 1663: 1658: 1653: 1648: 1643: 1638: 1631: 1628: 1624:global warming 1583: 1557: 1540: 1537: 1498: 1495: 1447: 1444: 1442: 1439: 1422: 1414: 1412: 1409: 1398: 1395: 1377: 1374: 1370:climate change 1362:Climateflation 1358: 1355: 1317: 1309: 1295:or to enhance 1285: 1282: 1265: 1262: 1253: 1250: 1207:Southeast Asia 1145: 1137: 1135: 1132: 1107:health impacts 1096: 1093: 1034: 1031: 976: 973: 957:climate system 953:Tipping points 934: 931: 918: 915: 863:Socio-economic 817: 814: 812: 809: 803: 800: 774: 771: 754: 746: 718: 715: 680: 679: 669: 635:Main article: 632: 629: 553:Main article: 550: 547: 533: 519:social welfare 485: 482: 460: 457: 439:present values 409:process models 394: 391: 389: 386: 369: 366: 348: 345: 314: 306: 304: 301: 299: 296: 251: 243: 241: 238: 234:Process models 213: 210: 173: 172: 169: 162: 155: 152: 140: 137: 105:climate change 26: 9: 6: 4: 3: 2: 10975: 10964: 10961: 10959: 10956: 10954: 10951: 10950: 10948: 10934: 10931: 10929: 10928:United States 10926: 10924: 10921: 10919: 10916: 10914: 10911: 10909: 10906: 10904: 10901: 10899: 10896: 10894: 10891: 10889: 10886: 10884: 10881: 10879: 10876: 10874: 10871: 10869: 10866: 10864: 10861: 10859: 10856: 10854: 10851: 10849: 10846: 10844: 10841: 10839: 10836: 10834: 10831: 10829: 10826: 10824: 10821: 10819: 10816: 10814: 10811: 10809: 10806: 10804: 10801: 10799: 10796: 10794: 10791: 10789: 10786: 10784: 10781: 10779: 10776: 10774: 10771: 10769: 10766: 10764: 10761: 10759: 10756: 10754: 10751: 10749: 10746: 10743: 10734: 10729: 10727: 10722: 10720: 10715: 10714: 10711: 10704: 10699: 10694: 10692: 10682: 10681: 10678: 10666: 10663: 10661: 10658: 10656: 10653: 10651: 10648: 10646: 10643: 10641: 10638: 10635: 10627: 10624: 10621: 10617: 10614: 10612: 10609: 10607: 10604: 10603: 10599: 10597: 10593: 10587: 10586: 10582: 10580: 10577: 10575: 10572: 10570: 10567: 10565: 10562: 10560: 10557: 10555: 10552: 10550: 10547: 10545: 10542: 10540: 10537: 10535: 10532: 10530: 10527: 10525: 10522: 10520: 10517: 10515: 10512: 10510: 10507: 10505: 10502: 10500: 10497: 10495: 10492: 10490: 10487: 10485: 10482: 10480: 10477: 10475: 10472: 10470: 10467: 10465: 10462: 10460: 10457: 10455: 10452: 10450: 10447: 10445: 10442: 10440: 10437: 10435: 10432: 10430: 10427: 10425: 10422: 10420: 10417: 10415: 10412: 10410: 10407: 10405: 10402: 10400: 10397: 10395: 10392: 10390: 10387: 10385: 10382: 10380: 10377: 10375: 10372: 10370: 10367: 10365: 10362: 10360: 10357: 10355: 10352: 10350: 10347: 10345: 10342: 10340: 10337: 10335: 10332: 10330: 10327: 10325: 10322: 10320: 10317: 10315: 10312: 10310: 10307: 10305: 10302: 10300: 10297: 10295: 10292: 10290: 10287: 10285: 10282: 10280: 10277: 10275: 10272: 10270: 10267: 10265: 10262: 10260: 10257: 10255: 10252: 10250: 10249:de Mandeville 10247: 10246: 10244: 10240: 10235: 10229: 10226: 10224: 10221: 10219: 10216: 10214: 10211: 10209: 10206: 10204: 10201: 10197: 10194: 10193: 10192: 10191:New classical 10189: 10185: 10182: 10181: 10180: 10177: 10175: 10172: 10170: 10167: 10163: 10160: 10159: 10158: 10155: 10153: 10150: 10148: 10147:Malthusianism 10145: 10139: 10136: 10135: 10134: 10131: 10129: 10126: 10123: 10119: 10116: 10115: 10114: 10111: 10109: 10108:Institutional 10106: 10104: 10101: 10099: 10096: 10094: 10091: 10089: 10086: 10084: 10081: 10079: 10076: 10074: 10071: 10069: 10066: 10064: 10061: 10059: 10056: 10054: 10051: 10049: 10046: 10042: 10039: 10038: 10037: 10034: 10032: 10029: 10027: 10024: 10022: 10019: 10015: 10012: 10011: 10010: 10007: 10005: 10002: 10000: 9997: 9995: 9992: 9990: 9987: 9986: 9984: 9979: 9974: 9969: 9961: 9958: 9956: 9953: 9951: 9948: 9946: 9943: 9941: 9938: 9936: 9933: 9931: 9928: 9926: 9923: 9921: 9918: 9916: 9912: 9911:Public choice 9909: 9907: 9904: 9902: 9899: 9897: 9894: 9892: 9889: 9887: 9886:Participation 9884: 9882: 9879: 9877: 9874: 9872: 9869: 9867: 9864: 9862: 9859: 9857: 9854: 9852: 9849: 9847: 9846:Institutional 9844: 9842: 9839: 9837: 9834: 9832: 9829: 9827: 9824: 9822: 9819: 9817: 9814: 9812: 9809: 9807: 9804: 9802: 9799: 9797: 9796:Expeditionary 9794: 9792: 9789: 9787: 9786:Environmental 9784: 9782: 9779: 9777: 9774: 9772: 9769: 9767: 9764: 9762: 9759: 9757: 9754: 9752: 9749: 9747: 9744: 9742: 9739: 9737: 9734: 9732: 9729: 9728: 9724: 9722: 9718: 9712: 9709: 9707: 9704: 9700: 9697: 9696: 9695: 9692: 9691: 9689: 9687: 9683: 9677: 9674: 9672: 9669: 9665: 9662: 9661: 9660: 9657: 9655: 9652: 9650: 9647: 9645: 9642: 9638: 9635: 9633: 9630: 9628: 9625: 9623: 9620: 9618: 9615: 9614: 9613: 9610: 9609: 9607: 9605: 9601: 9597: 9590: 9585: 9583: 9578: 9576: 9571: 9570: 9567: 9555: 9554: 9545: 9543: 9542: 9533: 9531: 9530: 9521: 9519: 9518: 9507: 9506: 9503: 9489: 9486: 9484: 9481: 9479: 9476: 9472: 9469: 9468: 9467: 9464: 9462: 9459: 9457: 9456:Climate model 9454: 9452: 9449: 9448: 9446: 9442: 9436: 9433: 9431: 9428: 9426: 9423: 9421: 9418: 9416: 9413: 9411: 9408: 9406: 9403: 9401: 9398: 9394: 9391: 9390: 9389: 9388:Cloud forcing 9386: 9384: 9381: 9379: 9376: 9374: 9371: 9369: 9366: 9362: 9359: 9357: 9354: 9352: 9349: 9347: 9344: 9343: 9342: 9339: 9337: 9334: 9333: 9331: 9327: 9321: 9318: 9316: 9313: 9311: 9308: 9306: 9303: 9302: 9300: 9296: 9292: 9285: 9281: 9267: 9264: 9262: 9259: 9255: 9252: 9250: 9247: 9246: 9245: 9242: 9240: 9237: 9235: 9232: 9231: 9229: 9225: 9219: 9216: 9212: 9209: 9207: 9204: 9202: 9199: 9198: 9197: 9194: 9192: 9189: 9187: 9184: 9182: 9179: 9177: 9174: 9172: 9169: 9168: 9166: 9164: 9163:Communication 9160: 9154: 9151: 9149: 9146: 9144: 9143:Vulnerability 9141: 9139: 9136: 9134: 9131: 9129: 9126: 9124: 9121: 9119: 9116: 9114: 9113:Flood control 9111: 9109: 9106: 9104: 9101: 9099: 9096: 9094: 9091: 9090: 9088: 9086: 9082: 9076: 9073: 9071: 9068: 9066: 9063: 9061: 9058: 9056: 9053: 9051: 9048: 9046: 9043: 9041: 9038: 9034: 9031: 9030: 9029: 9026: 9024: 9021: 9019: 9016: 9014: 9011: 9010: 9008: 9004: 9000: 8996: 8990: 8986: 8970: 8967: 8966: 8965: 8962: 8961: 8959: 8955: 8949: 8946: 8943: 8940: 8936: 8935:reforestation 8933: 8931: 8928: 8926: 8923: 8921: 8920:afforestation 8918: 8917: 8915: 8913: 8910: 8908: 8905: 8901: 8898: 8896: 8893: 8892: 8891: 8888: 8886: 8883: 8882: 8880: 8878: 8872: 8866: 8863: 8861: 8858: 8856: 8855:Nuclear power 8853: 8849: 8846: 8845: 8844: 8841: 8839: 8836: 8835: 8833: 8829: 8823: 8820: 8818: 8815: 8813: 8810: 8808: 8805: 8803: 8800: 8798: 8795: 8793: 8790: 8788: 8785: 8783: 8780: 8778: 8775: 8773: 8770: 8766: 8763: 8762: 8761: 8758: 8756: 8753: 8751: 8750:Carbon budget 8748: 8747: 8745: 8743: 8739: 8735: 8731: 8726: 8722: 8708: 8705: 8703: 8700: 8698: 8695: 8693: 8690: 8688: 8685: 8683: 8680: 8678: 8675: 8673: 8670: 8668: 8665: 8663: 8660: 8658: 8655: 8654: 8652: 8650: 8646: 8640: 8637: 8635: 8632: 8630: 8627: 8625: 8622: 8620: 8617: 8615: 8612: 8610: 8607: 8605: 8602: 8600: 8597: 8595: 8592: 8588: 8587:Mental health 8585: 8584: 8583: 8580: 8578: 8575: 8573: 8570: 8566: 8563: 8562: 8561: 8558: 8556: 8553: 8551: 8548: 8546: 8543: 8541: 8538: 8536: 8533: 8531: 8528: 8524: 8523:United States 8521: 8519: 8516: 8515: 8514: 8511: 8510: 8508: 8504: 8498: 8495: 8493: 8490: 8488: 8485: 8483: 8480: 8478: 8475: 8473: 8470: 8466: 8463: 8462: 8461: 8458: 8457: 8455: 8451: 8445: 8442: 8440: 8437: 8435: 8432: 8430: 8427: 8425: 8422: 8420: 8417: 8415: 8412: 8410: 8407: 8405: 8402: 8398: 8395: 8393: 8390: 8388: 8385: 8383: 8380: 8378: 8377:deoxygenation 8375: 8373: 8372:acidification 8370: 8369: 8368: 8365: 8361: 8358: 8356: 8353: 8352: 8351: 8348: 8344: 8341: 8340: 8339: 8336: 8334: 8331: 8329: 8326: 8324: 8321: 8319: 8316: 8314: 8311: 8309: 8306: 8304: 8301: 8300: 8298: 8294: 8290: 8286: 8281: 8277: 8265: 8262: 8260: 8257: 8255: 8252: 8250: 8247: 8245: 8242: 8240: 8237: 8236: 8234: 8232: 8229: 8227: 8224: 8222: 8219: 8217: 8214: 8212: 8209: 8207: 8204: 8203: 8200: 8193: 8189: 8175: 8172: 8168: 8167:from wetlands 8165: 8163: 8160: 8158: 8155: 8153: 8150: 8148: 8145: 8144: 8143: 8140: 8138: 8135: 8133: 8130: 8128: 8127:Deforestation 8125: 8124: 8122: 8118: 8112: 8109: 8106: 8102: 8099: 8097: 8094: 8093: 8091: 8087: 8083: 8079: 8074: 8070: 8060: 8057: 8055: 8052: 8050: 8047: 8045: 8042: 8040: 8037: 8036: 8033: 8026: 8022: 8018: 8011: 8006: 8004: 7999: 7997: 7992: 7991: 7988: 7981: 7977: 7973: 7972:Reith lecture 7969: 7966: 7964: 7960: 7956: 7953: 7950: 7946: 7942: 7939: 7938: 7928: 7922: 7916: 7909: 7903: 7899: 7892: 7891: 7886: 7882: 7881: 7877: 7876:0-521-01502-2 7871: 7865: 7851: 7845: 7841: 7834: 7833: 7828: 7824: 7823: 7819: 7818:0-521-56854-4 7813: 7807: 7800: 7794: 7790: 7782: 7781: 7775: 7771: 7768: 7764: 7758: 7757: 7751: 7750: 7746: 7740: 7734: 7719: 7715: 7709: 7705: 7701: 7700: 7695: 7691: 7688: 7687:0-521-01500-6 7682: 7676: 7662: 7656: 7652: 7647: 7646: 7640: 7636: 7629: 7628: 7622: 7618: 7613: 7607: 7599: 7595: 7594: 7587: 7586: 7572: 7568: 7564: 7560: 7556: 7552: 7548: 7544: 7540: 7533: 7526: 7521: 7515: 7511: 7506: 7501: 7497: 7493: 7489: 7485: 7481: 7477: 7473: 7469: 7465: 7458: 7452: 7448: 7445: 7433: 7429: 7423: 7408: 7404: 7398: 7390: 7386: 7381: 7376: 7372: 7368: 7364: 7360: 7356: 7352: 7351: 7346: 7339: 7332: 7320: 7315: 7311: 7307: 7303: 7299: 7298: 7293: 7289: 7283: 7274: 7270: 7266: 7259: 7257: 7240: 7239: 7231: 7215: 7211: 7204: 7188: 7184: 7178: 7163: 7159: 7152: 7144: 7140: 7136: 7132: 7127: 7122: 7118: 7114: 7110: 7103: 7088: 7084: 7078: 7070: 7066: 7062: 7058: 7053: 7048: 7044: 7040: 7036: 7029: 7021: 7017: 7012: 7007: 7003: 6999: 6994: 6989: 6985: 6981: 6977: 6973: 6969: 6962: 6954: 6948: 6941: 6940: 6932: 6930: 6914:on 1 May 2011 6913: 6909: 6905: 6901: 6897: 6893: 6886: 6871: 6865: 6861: 6860: 6852: 6837: 6831: 6824: 6823: 6815: 6808: 6793: 6787: 6780: 6779: 6771: 6763: 6758: 6754: 6748: 6741: 6737: 6731: 6729: 6727: 6725: 6723: 6721: 6719: 6717: 6701: 6697: 6690: 6683: 6671: 6667: 6660: 6645: 6641: 6634: 6626: 6622: 6616: 6609: 6607: 6606:Gernot Wagner 6595: 6591: 6584: 6582: 6580: 6571: 6567: 6560: 6552: 6548: 6541: 6526: 6522: 6515: 6500: 6496: 6489: 6482: 6478: 6472: 6463: 6459: 6458: 6450: 6435: 6431: 6424: 6409: 6405: 6399: 6391: 6387: 6383: 6377: 6373: 6369: 6365: 6364: 6356: 6341: 6337: 6331: 6323: 6319: 6314: 6309: 6305: 6301: 6297: 6293: 6289: 6285: 6281: 6274: 6259: 6256: 6250: 6248: 6239: 6235: 6231: 6227: 6222: 6217: 6212: 6207: 6203: 6199: 6195: 6191: 6187: 6180: 6174: 6170: 6164: 6162: 6154: 6150: 6147: 6143: 6137: 6121: 6117: 6116: 6108: 6102: 6098: 6094: 6090: 6084: 6065: 6061: 6057: 6053: 6049: 6048: 6040: 6033: 6018: 6014: 6007: 5998: 5993: 5989: 5985: 5981: 5977: 5973: 5966: 5959: 5955: 5949: 5947: 5938: 5934: 5930: 5926: 5922: 5918: 5911: 5902: 5897: 5893: 5889: 5885: 5881: 5877: 5870: 5862: 5858: 5853: 5848: 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4952: 4937: 4933: 4926: 4918: 4914: 4908: 4893: 4889: 4882: 4874: 4870: 4865: 4860: 4856: 4852: 4848: 4844: 4840: 4836: 4832: 4825: 4819: 4815: 4811: 4807: 4801: 4799: 4792: 4788: 4784: 4777: 4770: 4764: 4759: 4754: 4750: 4742: 4735: 4729: 4723: 4719: 4713: 4706: 4701: 4697: 4693: 4686: 4678: 4674: 4673:ncei.noaa.gov 4670: 4663: 4659: 4658:NCEI.NOAA.gov 4655: 4640: 4636: 4632: 4628: 4624: 4617: 4608: 4604: 4600:Annual data: 4597: 4590: 4584: 4582: 4573: 4569: 4565: 4561: 4556: 4551: 4546: 4541: 4537: 4533: 4529: 4521: 4514: 4510: 4506: 4500: 4498: 4490: 4484: 4482: 4474: 4469: 4468: 4460: 4453: 4450: 4434: 4430: 4423: 4416: 4401: 4397: 4391: 4377: 4371: 4367: 4363: 4356: 4349: 4347: 4339: 4337: 4335: 4319: 4313: 4306: 4305: 4300: 4293: 4287: 4282: 4275: 4273: 4258: 4252: 4245: 4244: 4239: 4232: 4217: 4213: 4209: 4208: 4200: 4185: 4181: 4177: 4173: 4169: 4165: 4161: 4157: 4153: 4146: 4138: 4134: 4130: 4126: 4121: 4116: 4112: 4108: 4104: 4097: 4078: 4077: 4069: 4067: 4065: 4058:, p. 801 4057: 4052: 4048: 4041: 4027: 4021: 4017: 4013: 4012: 4004: 4001:IPCC (2007), 3997: 3981: 3977: 3973: 3966: 3959: 3958: 3950: 3948: 3946: 3944: 3936: 3935: 3930: 3923: 3921: 3919: 3917: 3915: 3906: 3900: 3896: 3895: 3890: 3883: 3868: 3862: 3855: 3854: 3849: 3842: 3836: 3831: 3827: 3820: 3802: 3801: 3793: 3791: 3789: 3780: 3776: 3772: 3765: 3759:, p. 782 3758: 3753: 3749: 3742: 3734: 3730: 3726: 3722: 3717: 3712: 3708: 3704: 3700: 3693: 3687: 3683: 3679: 3675: 3669: 3667: 3665: 3657: 3651: 3649: 3641: 3635: 3616: 3615: 3607: 3588: 3587: 3579: 3572: 3565: 3563: 3555: 3548: 3544: 3537: 3535: 3518: 3514: 3513:Adbusters #75 3507: 3500: 3485: 3481: 3477: 3473: 3469: 3465: 3461: 3457: 3450: 3443: 3436: 3435: 3427: 3420: 3419: 3411: 3404: 3402: 3394: 3392: 3384: 3382: 3374: 3372: 3370: 3368: 3366: 3358: 3357: 3349: 3342: 3341: 3333: 3314: 3313: 3305: 3303: 3295: 3293: 3285: 3283: 3275: 3271: 3265: 3263: 3261: 3253: 3249: 3242: 3236: 3232: 3228: 3224: 3218: 3216: 3209:(3), 740-798. 3208: 3204: 3201: 3195: 3193: 3191: 3182: 3175: 3173: 3164: 3160: 3155: 3150: 3146: 3142: 3138: 3134: 3130: 3123: 3115: 3111: 3106: 3101: 3096: 3091: 3087: 3083: 3079: 3072: 3064: 3060: 3056: 3052: 3048: 3044: 3040: 3036: 3032: 3025: 3023: 3014: 3010: 3006: 3002: 2998: 2994: 2990: 2986: 2982: 2978: 2971: 2967: 2966:Rogelj, Joeri 2960: 2952: 2948: 2943: 2938: 2934: 2930: 2923: 2916: 2908: 2904: 2900: 2896: 2892: 2888: 2884: 2877: 2870: 2862: 2858: 2853: 2848: 2844: 2840: 2836: 2832: 2828: 2820: 2812: 2808: 2804: 2800: 2796: 2792: 2788: 2780: 2772: 2768: 2763: 2758: 2754: 2750: 2746: 2742: 2738: 2731: 2724: 2722:9789811038686 2718: 2714: 2710: 2706: 2699: 2691: 2687: 2683: 2679: 2675: 2671: 2664: 2657: 2649: 2645: 2641: 2639:9789491506710 2635: 2631: 2624: 2616: 2612: 2607: 2606:10044/1/78069 2602: 2597: 2592: 2588: 2584: 2580: 2576: 2569: 2553: 2549: 2543: 2535: 2531: 2527: 2523: 2519: 2515: 2508: 2500: 2494: 2486: 2482: 2478: 2470: 2462: 2458: 2454: 2447: 2439: 2435: 2431: 2425: 2421: 2414: 2407: 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880:meta-analysis 877: 872: 869: 864: 858: 856: 850: 848: 843: 833: 827: 822: 808: 799: 796: 791: 788: 784: 780: 770: 768: 762: 760: 752: 743: 739: 734: 732: 728: 724: 714: 712: 708: 704: 699: 697: 693: 689: 684: 677: 673: 670: 668: 667:probabilities 664: 663: 662: 659: 658:present value 656: 652: 647: 645: 638: 628: 626: 622: 617: 615: 611: 606: 602: 600: 596: 592: 587: 585: 580: 578: 574: 570: 569:environmental 566: 562: 556: 543: 539: 531: 526: 522: 520: 515: 510: 507: 502: 498: 496: 491: 481: 474: 470: 465: 456: 452: 450: 447: 442: 440: 436: 432: 427: 425: 420: 418: 414: 410: 406: 400: 385: 382: 375: 365: 361: 359: 354: 340: 338: 334: 330: 326: 325:economic data 322: 318: 311: 292: 288: 284: 282: 278: 274: 268: 264: 260: 255: 248: 237: 235: 231: 227: 223: 219: 209: 207: 203: 199: 194: 193:air pollution 190: 186: 182: 177: 170: 167: 163: 160: 156: 153: 150: 149: 148: 146: 136: 133: 129: 125: 121: 116: 114: 110: 106: 102: 98: 94: 90: 86: 82: 77: 75: 71: 67: 63: 59: 55: 51: 47: 39: 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Retrieved 7431: 7422: 7410:. Retrieved 7406: 7397: 7354: 7348: 7338: 7330: 7323:. Retrieved 7301: 7295: 7282: 7268: 7243:. Retrieved 7237: 7230: 7218:. Retrieved 7213: 7203: 7191:. Retrieved 7186: 7177: 7165:. Retrieved 7161: 7151: 7116: 7112: 7102: 7090:. Retrieved 7086: 7077: 7045:(2): 29–51. 7042: 7038: 7028: 6975: 6971: 6961: 6938: 6916:. Retrieved 6912:the original 6899: 6895: 6885: 6873:. Retrieved 6858: 6851: 6839:. Retrieved 6821: 6807: 6795:. Retrieved 6777: 6770: 6747: 6703:. Retrieved 6699: 6689: 6680: 6673:. Retrieved 6669: 6659: 6647:. Retrieved 6643: 6633: 6624: 6615: 6604: 6597:. Retrieved 6593: 6569: 6559: 6550: 6540: 6528:. Retrieved 6524: 6514: 6502:. Retrieved 6498: 6488: 6475:IPCC (2022) 6471: 6456: 6449: 6437:. Retrieved 6433: 6423: 6411:. Retrieved 6407: 6398: 6362: 6355: 6343:. Retrieved 6339: 6330: 6287: 6283: 6273: 6261:. Retrieved 6257: 6193: 6189: 6179: 6168: 6140:IPCC, 2007: 6136: 6124:. Retrieved 6120:the original 6114: 6107: 6087:IPCC, 2021: 6083: 6071:. Retrieved 6064:the original 6051: 6045: 6032: 6020:. Retrieved 6017:the Guardian 6016: 6006: 5979: 5975: 5965: 5923:(1): 19–44. 5920: 5916: 5910: 5883: 5879: 5869: 5834: 5828: 5815: 5803:. Retrieved 5791: 5781: 5762: 5758: 5748: 5716: 5671: 5667: 5642:. Retrieved 5630: 5621: 5594: 5588: 5576:. Retrieved 5571: 5562: 5550:. Retrieved 5546: 5537: 5525:. Retrieved 5516: 5510: 5476: 5444: 5440: 5430: 5422:The Guardian 5421: 5410: 5367: 5363: 5353: 5341:. Retrieved 5329: 5319: 5308: 5299: 5286: 5277:the Guardian 5275: 5265: 5211: 5190: 5165: 5161: 5145: 5135: 5090: 5086: 5076: 5064:. Retrieved 5055: 5045: 5033:. Retrieved 5019: 4991:. Retrieved 4987: 4977: 4965:. Retrieved 4960: 4951: 4939:. Retrieved 4935: 4925: 4916: 4907: 4895:. Retrieved 4891: 4881: 4838: 4834: 4824: 4809: 4776: 4748: 4741: 4728: 4712: 4703: 4695: 4685: 4672: 4657: 4643:. Retrieved 4626: 4616: 4596: 4535: 4531: 4520: 4512: 4508: 4466: 4459: 4440:, retrieved 4433:the original 4428: 4415: 4403:. Retrieved 4399: 4390: 4379:, retrieved 4365: 4355: 4344: 4321:. Retrieved 4303: 4292: 4280: 4260:, retrieved 4242: 4231: 4219:. Retrieved 4216:10419/215447 4206: 4199: 4187:. Retrieved 4159: 4155: 4145: 4110: 4106: 4096: 4084:. Retrieved 4075: 4050: 4040: 4029:, retrieved 4010: 3996: 3984:. Retrieved 3979: 3975: 3965: 3955: 3932: 3893: 3882: 3870:. Retrieved 3852: 3841: 3829: 3819: 3808:, retrieved 3799: 3774: 3764: 3751: 3741: 3706: 3702: 3692: 3634: 3622:. Retrieved 3613: 3606: 3594:. Retrieved 3585: 3571: 3560: 3554: 3546: 3521:. Retrieved 3516: 3512: 3499: 3487:. Retrieved 3459: 3455: 3442: 3432: 3426: 3416: 3410: 3399: 3383:, p. 24 3379: 3354: 3348: 3338: 3332: 3320:. Retrieved 3311: 3290: 3241: 3221:IPCC, 2022: 3206: 3202: 3154:11382/517765 3136: 3132: 3122: 3085: 3081: 3071: 3038: 3034: 2980: 2976: 2959: 2932: 2928: 2915: 2882: 2869: 2834: 2830: 2819: 2786: 2779: 2744: 2740: 2730: 2704: 2698: 2673: 2669: 2656: 2629: 2623: 2586: 2582: 2568: 2556:. Retrieved 2552:Carbon Brief 2551: 2542: 2517: 2513: 2507: 2476: 2469: 2452: 2446: 2419: 2413: 2397: 2392: 2386: 2343: 2339: 2329: 2286: 2282: 2272: 2240: 2214: 2181:IPCC, 2022: 2177: 2160:10419/215027 2140: 2136: 2111:. Retrieved 2097: 2065: 1998: 1986:. Retrieved 1982: 1974: 1954:IPCC, 2007: 1950: 1897: 1893: 1883: 1872: 1867: 1855:. Retrieved 1846: 1811:. Retrieved 1797: 1751: 1745: 1702: 1698: 1636:Carbon price 1589: 1578: 1517: 1506: 1488: 1476: 1468: 1461: 1453: 1449: 1431: 1427: 1423: 1403: 1400: 1385: 1382: 1379: 1361: 1360: 1340: 1336: 1325: 1322: 1318: 1299:that absorb 1297:carbon sinks 1287: 1278: 1255: 1223: 1195: 1167: 1155:over at the 1124: 1113:In 2019 the 1112: 1104: 1091:industries. 1062: 1012: 1000: 996: 987: 964:Stern Review 961: 951: 944: 924: 920: 907:energy costs 901:from rising 896: 892: 888: 873: 859: 851: 838: 805: 792: 776: 763: 759:option value 735: 720: 706: 700: 685: 681: 648: 640: 637:Climate risk 618: 607: 603: 588: 581: 567:" of future 558: 538:(developing) 513: 511: 503: 499: 493: 478: 469:Stern Review 453: 446:Kaldor–Hicks 443: 428: 421: 402: 377: 362: 356: 337:neoclassical 315: 271: 215: 178: 174: 142: 117: 78: 45: 43: 29: 10888:South Korea 10868:Philippines 10853:North Korea 10843:New Zealand 10454:von Neumann 10223:Supply-side 10208:Physiocracy 10152:Marginalism 9841:Information 9781:Engineering 9761:Development 9756:Demographic 9627:Game theory 9604:Theoretical 9368:Carbon sink 9346:atmospheric 9211:video games 8885:Blue carbon 8513:Agriculture 8492:Marine life 8439:Water cycle 8397:temperature 8132:Fossil fuel 7976:Mark Carney 7474:(1): 2676. 7325:25 November 6762:10986/31805 6740:https://doi 6738:. Nairobi. 6439:29 December 6413:29 December 6345:21 November 6263:11 November 6221:10810/44202 5805:4 September 5674:(1): 3528. 5118:1885/265534 5056:MarketWatch 5035:15 December 4841:(1): 1624. 4645:11 December 4591:, DEFRA, UK 4555:10852/85670 4515:(1), 63-81. 3709:(2): 1–37. 3139:: 315–339. 3088:: 195–208. 2935:(9): 1747. 2676:: 143–156. 2589:: 153–168. 2361:10871/40583 2076:resrep29269 2006:. Nairobi. 1988:11 November 1925:10810/44202 1813:15 February 1471:utilitarian 1245:South Asian 1224:Similarly, 1211:heat stress 1179:food prices 1175:Agriculture 1153:heat stress 1134:Agriculture 1003:reinsurance 911:food prices 765:damages to 738:information 727:information 561:uncertainty 530:(developed) 431:consumption 291:agent-based 202:investments 10947:Categories 10763:Bangladesh 10611:Economists 10484:Schumacher 10389:Schumpeter 10359:von Wieser 10279:von Thünen 10239:Economists 10138:Circuitism 10103:Humanistic 10098:Historical 10073:Ecological 10063:Democratic 10036:Chartalism 10026:Behavioral 9989:Mainstream 9950:Statistics 9945:Solidarity 9866:Managerial 9831:Humanistic 9826:Historical 9771:Ecological 9736:Behavioral 9400:Cryosphere 9361:permafrost 9133:Resilience 9085:Adaptation 9060:Litigation 9050:Governance 8995:adaptation 8777:Carbon tax 8730:Mitigation 8667:Antarctica 8555:Disability 7855:17 January 7724:22 January 7616:. Archived 7319:1808/30278 7297:BioScience 7245:21 January 7220:20 January 7193:20 January 7167:20 January 6841:19 January 6797:19 January 6196:: 105513. 6073:10 January 6022:2 February 5886:(10): 10. 5852:10986/3949 5728:(Report). 5447:(40): 40. 5343:22 January 4961:Al Jazeera 4835:Nat Commun 4810:Nat Commun 4538:: 105383. 4442:21 January 4405:22 January 4323:19 January 4262:19 January 4221:21 January 4189:21 January 4162:: 99–106. 4086:18 January 4031:20 January 3986:21 January 3872:19 January 3810:20 January 3624:20 January 3596:19 January 3523:21 January 3489:21 January 3322:10 January 3095:1707.04870 3041:: 106779. 2485:1039547304 2461:1056192590 2400:, Zenodo, 2113:21 January 1900:: 105513. 1857:19 January 1667:References 1620:decoupling 1616:globalized 1565:See also: 1509:correlated 1501:See also: 1376:Mechanisms 1305:atmosphere 1230:irrigation 1161:irrigation 1105:Among the 1099:See also: 1089:recreation 595:vulnerable 488:See also: 397:See also: 381:Panel data 379:activity. 372:See also: 351:See also: 342:emissions. 222:adaptation 132:adaptation 54:mitigation 10893:Sri Lanka 10818:Indonesia 10803:Guatemala 10753:Australia 10748:Argentina 10703:Economics 10529:Greenspan 10494:Samuelson 10474:Galbraith 10444:Tinbergen 10384:von Mises 10379:Heckscher 10339:Edgeworth 10218:Stockholm 10213:Socialist 10113:Keynesian 10093:Happiness 10053:Classical 10014:Mutualism 10009:Anarchist 9994:Heterodox 9891:Personnel 9851:Knowledge 9816:Happiness 9806:Financial 9776:Education 9751:Democracy 9686:Empirical 9596:Economics 9415:Feedbacks 9186:Education 8687:Caribbean 8682:Australia 8609:Migration 8572:Fisheries 8518:Livestock 8444:Wildfires 8350:Heat wave 7571:159148524 7563:1356-3467 7525:CC BY 4.0 7496:2041-1723 7143:154387945 7135:1468-0440 7061:0895-3309 7002:0027-8424 6705:18 August 6675:18 August 6599:18 August 6530:18 August 6525:Bloomberg 6504:18 August 6390:198078901 6340:One Earth 6238:211004787 5800:0362-4331 5639:0013-0613 5471:250430339 5338:0362-4331 5257:203245445 5249:1018-5941 5182:245865532 5127:2328-4277 4627:NCDC.NOAA 4572:233539315 4564:0305-750X 4509:Ekonomiaz 4447:. 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Index

Economics of global warming

scenario
caused by climate change
mitigation
adaptation to climate change
cost–benefit analysis
integrated assessment models
global surface temperature increases
climate change scenarios
metrics
GDP
inflation
impacts of climate change on human health
biomes
ecosystem services
climate change
policy responses
socioeconomic development
economics of climate change mitigation
cost of climate adaptation
GDP
adaptation
effects of climate change
economics of climate change mitigation
social cost of carbon
mitigate climate change
sustainable development
fossil fuel subsidies
air pollution

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