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来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Uncertainty in Integrated Assessment Models of Climate Change: Alternative Analytical Approaches
Alexander Golub; Daiju Narita; Matthias G.W. Schmidt
发表日期2011
出处Climate Change and Sustainable Development
出版年2011
语种英语
摘要Uncertainty plays a key role in the economics of climate change, and the discussions surrounding its implications for climate policy are far from settled. We give an overview of the literature on uncertainty in integrated assessment models of climate change and identify some future research needs. In the paper, we pay particular attention to three different and complementary approaches that model uncertainty in association with integrated assessment models: the discrete uncertainty modeling, the most common way to incorporate uncertainty in complex climate-economy models: the real options analysis, a simplified way to identify and value flexibility: the continuous-time stochastic dynamic programming, which is computationally most challenging but necessary if persistent stochasticity is considered.
特色分类D81;Q54;C61
关键词Uncertainty Learning Economics of Climate Change Integrated Assessment Models Real Options
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/uncertainty-in-integrated-assessment-models-of-climate-change-alternative-analytical-approaches/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/117923
推荐引用方式
GB/T 7714
Alexander Golub,Daiju Narita,Matthias G.W. Schmidt. Uncertainty in Integrated Assessment Models of Climate Change: Alternative Analytical Approaches. 2011.
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