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Adapting and Mitigating to Climate Change: Balancing the Choice under Uncertainty

Author

Listed:
  • Francesco Bosello

    (University of Milan and Fondazione Eni Enrico Mattei)

  • Chen Chen

    (Defap Graduate School in Public Economics and Fondazione Eni Enrico Mattei)

Abstract

Nowadays, as stressed by important strategic documents like for instance the 2009 EU White Paper on Adaptation or the recent 2009 “Copenhagen Accord”, it is amply recognized that both mitigation and adaptation strategies are necessary to combat climate change. This paper enriches the rapidly expanding literature trying to devise normative indications on the optimal combination of the two introducing the role of catastrophic and spatial uncertainty related to climate change damages. Applying a modified version of the Nordhaus’ Regional Dynamic Integrated Model of Climate and the Economy it is shown that in both cases uncertainty works in the direction to make mitigation a more attractive strategy than adaptation. When catastrophic uncertainty is concerned mitigation becomes relatively more important as, by curbing emissions, it helps to reduce temperature increase and hence the probability of the occurrence of the event. Adaptation on the contrary has no impact on this. It is also shown that optimal mitigation responses are much less sensitive than adaptation responses to spatial uncertainty. Mitigation responds to global damages, while adaptation to local damages. The first, being aggregated, change less than the second in the presence of spatial uncertainty as higher expected losses in some regions are compensated by lower expected losses in other. Accordingly, mitigation changes less than adaptation. Thus if it cannot be really claimed that spatial uncertainty increases the weight of mitigation respect to that of adaptation, however its presence makes mitigation a “safer” or more robust strategy to a policy decision maker than adaptation.

Suggested Citation

  • Francesco Bosello & Chen Chen, 2010. "Adapting and Mitigating to Climate Change: Balancing the Choice under Uncertainty," Working Papers 2010.159, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2010.159
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    Citations

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    Cited by:

    1. Barry Anderson & Emanuele Borgonovo & Marzio Galeotti & Roberto Roson, 2014. "Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help?," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 271-293, February.
    2. Glanemann, Nicole, 2014. "The Optimal Climate Policy of Mitigation and AdaptationːA Real Options Theory Perspective," WiSo-HH Working Paper Series 15, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    3. Heuson, Clemens & Gawel, Erik & Gebhardt, Oliver & Hansjürgens, Bernd & Lehmann, Paul & Meyer, Volker & Schwarze, Reimund, 2012. "Fundamental questions on the economics of climate adaptation: Outlines of a new research programme," UFZ Reports 05/2012, Helmholtz Centre for Environmental Research (UFZ).
    4. Heuson, Clemens & Gawel, Erik & Gebhardt, Oliver & Hansjürgens, Bernd & Lehmann, Paul & Meyer, Volker & Schwarze, Reimund, 2012. "Ökonomische Grundfragen der Klimaanpassung: Umrisse eines neuen Forschungsprogramms," UFZ Reports 02/2012, Helmholtz Centre for Environmental Research (UFZ).

    More about this item

    Keywords

    Climate Change; Mitigation; Adaptation; Uncertainty; Integrated Assessment Model;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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