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文章基本信息

  • 标题:Uncertainty in Integrated Assessment Models of Climate Change: Alternative Analytical Approaches
  • 本地全文:下载
  • 作者:Alexander Golub ; Daiju Narita ; Matthias G.W. Schmidt
  • 期刊名称:FEEM Working Papers / Fondazione Eni Enrico Mattei = Nota di Lavoro
  • 出版年度:2011
  • 卷号:2011
  • 出版社:Milano
  • 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.
  • 关键词:Uncertainty; Learning; Economics of Climate Change; Integrated Assessment Models; Real Options
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