Modeling the Impact of Warming in Climate Change Economics

R. Pindyck
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引用次数: 49

Abstract

Any economic analysis of climate change policy requires some model that describes the impact of warming on future GDP and consumption. Most integrated assessment models (IAMs) relate temperature to the level of real GDP and consumption, but there are theoretical and empirical reasons to expect temperature to affect the growth rate rather than level of GDP. Does this distinction matter in terms of implications for policy? And how does the answer depend on the nature and extent of uncertainty over future temperature change and its impact? I address these questions by estimating the fraction of consumption society would be willing to sacrifice to limit future increases in temperature, using probability distributions for temperature and impact inferred from studies assembled by the IPCC, and comparing estimates based on a direct versus growth rate impact of temperature on GDP.
在气候变化经济学中模拟变暖的影响
任何对气候变化政策的经济分析都需要一些模型来描述气候变暖对未来GDP和消费的影响。大多数综合评估模型(IAMs)将温度与实际GDP和消费水平联系起来,但有理论和实证理由认为温度影响增长率而不是GDP水平。这种区别对政策的影响重要吗?答案如何取决于未来温度变化及其影响的不确定性的性质和程度?为了解决这些问题,我估计了社会愿意牺牲的消费比例,以限制未来的温度上升,使用IPCC收集的研究推断出的温度和影响的概率分布,并比较了基于温度对GDP的直接影响和增长率影响的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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