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Literature Review of Integrated Impact Assessment Models of Climate Change with Emphasis on Damage Functions

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  • Ramon Ortiz
  • Anil Markandya

Abstract

We review the literature on the impact assessment models currently used in the climate change debate. From among these we select some relevant models, highlight their important features and identify how climate change damages are treated. A common feature of the treatment of climate change damages within the existing models seems to be the significant degree of subjectivity involved in the choice of parameters, functional forms and the potential damages in case of temperature changes above the current predicted (low) levels. This is in part due to the small number of studies available from which we can estimate climate change damages, which forces researchers to extrapolate, from a small set of figures, damage for higher temperature changes and for regions of the world other than those where the original studies were undertaken. Thus, uncertainty surrounding damage functions is inevitably high.

Suggested Citation

  • Ramon Ortiz & Anil Markandya, 2010. "Literature Review of Integrated Impact Assessment Models of Climate Change with Emphasis on Damage Functions," Working Papers 2009-06, BC3.
    • Handle: RePEc:bcc:wpaper:2009-06
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    1. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    2. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
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    1. Fouquet, Roger, 2011. "Long run trends in energy-related external costs," Ecological Economics, Elsevier, vol. 70(12), pages 2380-2389.
    2. Dhakouani, Asma & Znouda, Essia & Bouden, Chiheb, 2019. "Impacts of energy efficiency policies on the integration of renewable energy," Energy Policy, Elsevier, vol. 133(C).

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