Identification of national priority areas for adaptation to climate change in China

The problem of global warming has been identified as the first in the list of the top ten environmental problems in the world. As climate change will seriously affect the social and natural world that people live in, so it may lay serious repercussions on economic progress, social improvement, and sustainable development. International bodies everywhere and many of the countries＇ governments are responding urgently to this call In recent years, climate change has affected different regions in China in different ways. In its national agenda, the Chinese government should address the problem of climate change and its negative impact on socio-economic development. In this endeavor the nation should introduce policies which will help its people and economy to adapt to these effects and changes. Priority-fields of adaptation to climate change are the sensitive areas or departments which are more vulnerable to the negative influences of climate change. The negative impacts of climate change in some parts of China are considered to be very serious indeed as they affect the whole economy and community. As a result, priority should be given to these more affected regions for the limited state financing. This paper defines adaptation and discusses the basic principles and programs in the identi.fication of national priority areas where adaptation should be exercised. Based on the past studies, four priority areas in China are identified, namely, disaster prevention and mitigation, water resources, agriculture, and ecosystem. An analysis on the identification procedures, and the reasons and tasks involved are given for each.     

气候变化经济学和气候政策

在气候变化经济学和气候政策的文献综述基础上,剖析了经济学原理在全球气候变化研究中的应用。在总结西方流行的气候变化的经济影响评估、预测、分析方法和模型的前提下,回顾了不同空间和时间尺度上温室气体减排成本估算的方法和结果,特别分析和强调了气候变化不确定性的特点对经济模型和政策设计的影响,提供了有效的基于市场的政策选择。     

International support of climate change policies in developing countries: Strategic, moral and fairness aspects

International transfers in climate policy channeled from the industrialized to the developing world either support the mitigation of climate change or the adaptation to global warming. From a purely allocative point of view, transfers supporting mitigation tend to be Pareto-improving whereas this is not very likely in the case of adaptation support. We illustrate this by regarding transfer schemes currently applied under the UN Framework Convention on Climate Change (UNFCCC) and the Kyoto framework.However, if we enrich the analysis by integrating distributional aspects, we find that international adaptation funding may help both the developing and developed world. Interestingly this is not due to altruistic incentives, but due to follow-up effects on international negotiations on climate change mitigation. We argue that the lack of fairness perceived by developing countries in the international climate policy arena can be reduced by the support of adaptation in these countries. As we show - taking into account different fairness concepts - this might raise the prospects of success in international negotiations on climate change. Yet, we find that the influence of transfers may induce different fairness effects on climate change mitigation negotiations to run counter.We discuss whether current transfer schemes under the UNFCCC and the Kyoto framework adequately serve the distributive and allocative objectives pursued in international climate policy.     

Climate change as a threat to biodiversity: An application of the DPSIR approach

Climate change and its consequences present one of the most important threats to biodiversity and the functions of ecosystems. The stress on biodiversity is far beyond the levels imposed by the natural global climatic changes occurring in the recent evolutionary past. It includes temperature increases, shifts of climate zones, melting of snow and ice, sea level rise, droughts, floods, and other extreme weather events. Natural systems are vulnerable to such changes due to their limited adaptive capacity. Based on an analysis using the DPSIR framework, this paper discusses some of the important socio-economic driving forces of climate change, with a focus on energy use and transportation. The paper also analyses observed and potential changes of climate and the pressures they exert on biodiversity, the changes in biodiversity, the resulting impacts on ecosystem functions, and possible policy responses. The latter can be divided into mitigation and adaptation measures. Both strategies are needed, mitigation in order to stabilise the greenhouse gas concentrations in the atmosphere, and adaptation in order to adjust to changes that have already occurred or cannot be avoided. One mitigation option, increased biofuel production, which is also a response to oil depletion, would change land use patterns and increase human appropriation of net primary production of biomass, thereby threatening biodiversity. By considering the first order and second order impacts of climate change on biodiversity when developing policy measures, it will be possible to integrate ecosystem and biodiversity protection into decision-making processes.     

A comment on “Economy-wide estimates of the implications of climate change: Human health”

In a recent article in this journal, Francesco Bosello, Roberto Roson, and Richard Tol make the remarkable prediction that one degree of global warming will, on balance, save more than 800,000 lives annually by 2050. They introduce enormous, controversial monetary valuations of mortality and morbidity, varying with income; they then focus primarily on modeling the much smaller, indirect economic effects of the changes in health outcomes. Their calculations, large and small, are driven by the huge projected reduction in mortality — an estimate that Bosello et al. fail to substantiate. They rely on research that identifies a simple empirical relationship between temperature and mortality, but ignores the countervailing effect of human adaptation to gradual changes in average temperature. While focusing on small changes in average temperatures, they ignore the important health impacts of extreme weather events. They extrapolate the effects of small changes in average temperature far beyond the level that is apparently supported by their principal sources, and introduce arbitrary assumptions that may bias the result toward finding net health benefits from warming.     

Optimal greenhouse gas emissions under various assessments of climate change ambiguity

The probabilities associated with global warming damage are likely to be continuously revised in the light of new information. Such revisions of probability are the defining characteristic of ambiguity, as opposed to risk. This paper examines how climate change ambiguity may affect optimal greenhouse gas emission strategies, via the decision maker's attitude towards anticipated changes of damage probabilities. Two conceptualizations of ambiguity are distinguished, according to the emphasis placed on the ambiguity of priors or on the ambiguity of news, respectively. It is shown that the way in which ambiguity is viewed and the attitude taken towards it have a substantial influence on the optimal emission trajectory.     

A portfolio approach to climate investments: CAPM and endogenous risk

Is there a role for investments in climate change mitigation despite low expected return? We use a model of intertemporal expected utility maximisation to analyse this question. Similar to the capital asset pricing model (CAPM) the rate of return depends on the correlation of risk between the return on investments in climate change mitigation and the market portfolio, but in contrast to the classical CAPM we admit the fact that economic and environmental systems are jointly determined, implying that environmental risk is endogenous. Therefore, investments in climate change mitigation may reduce risk via self-protection and self-insurance. If risk reduction is accounted for in cost–benefit evaluations, climate investments may be justified despite low expected return. These aspects of climate investments are not, however, communicated via standard cost–benefit analyses of climate policy. Optimal climate policy may therefore be more ambitious than previously considered.     

Valuing climate protection through willingness to pay for biomass ethanol

This study uses a multi-part, split-sample contingent valuation method (CVM) and fair share (FS) survey to better understand the public's valuation of mitigating global climate change through its willingness to pay for biomass or “cellulosic” ethanol. In addition to a basic CVM question, a related scenario was developed that asked half of the survey respondents to state their fair share cost to lessen a potential food shortage in the next decade, also through the expanded use of cellulosic ethanol. Three alternative biomass feedstocks were assessed: farming residues, forestry residues and paper mill wastes, and municipal solid wastes. Overall a slightly larger proportion of respondents were WTP extra for cellulosic ethanol in the basic CVM scenario than in the FS scenario, though no significant differences were found in the WTP for the different feedstocks. Bid curve lognormal regression results for the two models were similar, supporting the idea that asking a FS rather than a conventional WTP question may be justifiable in some circumstances, such as in cases of a national emergency.     

Responding to climate and other change processes in complex contexts:: Challenges facing development of adaptive policy frameworks in the Ganga Basin

The Ganga Basin, one of the world's most densely populated and vulnerable regions, is also among the world's most dynamic hydrological systems. Rivers exiting the Himalaya deposit massive amounts of sediment in the plains and shift their courses regularly. The natural dynamics of this system have a direct impact on populations. On August 18th, 2008, for example, embankments on the Kosi River (a tributary to the Ganges), failed and the channel shifted by as much as 120 km (Sinha, 2008 [1]) displacing over sixty thousand people in Nepal and three and a half million in India. Transport and power systems disrupted across large areas. The embankment failure was not caused by an extreme event. Instead the breach represented a failure of interlinked physical and institutional infrastructure systems in an area characterized by complex social, political, and environmental relationships.Projected climate changes in the Ganga Basin are likely to greatly exacerbate vulnerability (Adaptation Study Team, 2008 [2]). While the Kosi breach had nothing to do with climate change, such events will increase if climatic variability, sediment transport, and extreme events increase. Understanding how populations can respond to the dynamic nature of rivers such as the Kosi is, as a result, essential to develop strategies for adapting to climatic change. Understanding is also essential at the policy level for building adaptive capacity. The challenge is to identify policy frameworks and their relationship to interlinked physical and institutional infrastructure combinations that create environments enabling adaptation within households, communities, and regions.This paper explores the challenges and opportunities facing the development of adaptive policy frameworks in the Ganga Basin. The characteristics of frameworks that are adaptive in themselves and enable adaptation along with their relationship to different types of interlinked institutional and infrastructure systems are explored first. Following this, the case of the Kosi embankment along with the projected impacts of climate change across the Ganga Basin is used to identify the key challenges and opportunities that are common in many regions. The paper concludes with specific observations on the development of adaptive policy frameworks for responding to climate change in complex developing country contexts.     

Estimates of the Damage Costs of Climate Change. Part 1: Benchmark Estimates

A selection of the potential impacts of climate change – on agriculture,forestry, unmanaged ecosystems, sea level rise, human mortality, energyconsumption, and water resources – are estimated and valued in monetaryterms. Estimates are derived from globally comprehensive, internallyconsistent studies using GCM based scenarios. An underestimate of theuncertainty is given. New impact studies can be included following themeta-analytical methods described here. A 1 °C increase in the globalmean surface air temperature would have, on balance, a positive effect onthe OECD, China, and the Middle East, and a negative effect on othercountries. Confidence intervals of regionally aggregated impacts, however,include both positive and negative impacts for all regions. Global estimatesdepend on the aggregation rule. Using a simple sum, world impact of a1 °C warming would be a positive 2% of GDP, with a standarddeviation of 1%. Using globally averaged values, world impact would be anegative 3% (standard deviation: 1%). Using equity weighting, worldimpact would amount to 0% (standard deviation: 1%).