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Uncertainty and economic analysis of climate change: a survey of approaches and findings

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  • Peterson, Sonja

Abstract

The analysis of climate change is confronted with large uncertainties that need to be taken into account to arrive at meaningful policy recommendations. The main contribution of economics to this interdisciplinary task is to provide formal frameworks and techniques for analyzing climate policy in the context of uncertainty. This paper will give an overview of existing approaches and findings to provide a broad picture of what economics can contribute to the debate.

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  • Peterson, Sonja, 2006. "Uncertainty and economic analysis of climate change: a survey of approaches and findings," Open Access Publications from Kiel Institute for the World Economy 3778, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwkie:3778
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    File URL: https://www.econstor.eu/bitstream/10419/3778/1/Pe_Climate_Change.pdf
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    7. Eory, Vera & Topp, Cairistiona F. E. & Moran, Dominic & Butler, Adam, 2014. "Assessing uncertainty in the cost-effectiveness of agricultural greenhouse gas mitigation," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170784, Agricultural Economics Society.
    8. Zachlod-Jelec, Magdalena & Boratynski, Jakub, 2016. "How large and uncertain are costs of 2030 GHG emissions reduction target for the European countries? Sensitivity analysis in a global CGE model," MF Working Papers 26, Ministry of Finance in Poland.
    9. Held, Hermann & Kriegler, Elmar & Lessmann, Kai & Edenhofer, Ottmar, 2009. "Efficient climate policies under technology and climate uncertainty," Energy Economics, Elsevier, vol. 31(Supplemen), pages 50-61.
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    12. Medel, Carlos A., 2011. "The Effects of Global Warming on Fisheries," MPRA Paper 28373, University Library of Munich, Germany.
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    15. Alberth, Stephan & Hope, Chris, 2007. "Climate modelling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model," Energy Policy, Elsevier, vol. 35(3), pages 1795-1807, March.
    16. Lontzek, Thomas S. & Narita, Daiju, 2009. "The effect of uncertainty on decision making about climate change mitigation: a numerical approach of stochastic control," Kiel Working Papers 1539, Kiel Institute for the World Economy (IfW Kiel).
    17. Vera Eory & Cairistiona F. E. Topp & Adam Butler & Dominic Moran, 2018. "Addressing Uncertainty in Efficient Mitigation of Agricultural Greenhouse Gas Emissions," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 627-645, September.
    18. DeCarolis, Joseph F., 2011. "Using modeling to generate alternatives (MGA) to expand our thinking on energy futures," Energy Economics, Elsevier, vol. 33(2), pages 145-152, March.
    19. Miftakhova, Alena, 2021. "Global sensitivity analysis for optimal climate policies: Finding what truly matters," Economic Modelling, Elsevier, vol. 105(C).
    20. Eory, Vera, 2015. "Evaluating the use of marginal abatement cost curves applied to greenhouse gas abatement in agriculture," Working Papers 199777, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.

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    More about this item

    Keywords

    Climate change; uncertainty; survey; modeling;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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