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Adaptation and the Allocation of Pollution Reduction Costs

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  • Hassan Benchekroun
  • Farnaz Taherkhani

Abstract

We consider a game of abatement of a transboundary pollutant. We use a time-consistent Shapley value allocation of the cost of pollution reduction, and study the sensitivity of such an allocation to countries' adaptation to pollution. A country's adaptation to pollution is captured by a change in its damage function. We show that if there is a reduction in the damage cost of one country only, this can harm the other countries. Some countries may end up worse o¤ even in the case where all countries experience a uniform decrease in their damage from pollution. An important policy implication of our analysis is that the Shapley value approach to the allocation of abatement costs doesn't necessarily provide the right incentives for all players to act on reducing pollution damage. We determine conditions under which a uniform fall in all countries'pollution damage benefits all countries.

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Bibliographic Info

Paper provided by Centre interuniversitaire de recherche en économie quantitative, CIREQ in its series Cahiers de recherche with number 03-2013.

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Length: 37 pages
Date of creation: 2013
Date of revision:
Handle: RePEc:mtl:montec:03-2013

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Keywords: adaptation; Shapley value; transboundary pollution; climate change; time-consistency;

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  1. Chander, Parkash & Tulkens, Henry, 1994. "A Core-Theoretic Solution for the Design of Cooperative Agreements on Transfrontier Pollution," Working Papers 897, California Institute of Technology, Division of the Humanities and Social Sciences.
  2. Athanassoglou, Stergios & Xepapadeas, Anastasios, 2012. "Pollution control with uncertain stock dynamics: When, and how, to be precautious," Journal of Environmental Economics and Management, Elsevier, vol. 63(3), pages 304-320.
  3. Ngo Long, 2011. "Dynamic Games in the Economics of Natural Resources: A Survey," Dynamic Games and Applications, Springer, vol. 1(1), pages 115-148, March.
  4. Aldy, Joseph E. & Krupnick, Alan J. & Newell, Richard G. & Parry, Ian W.H. & Pizer, William A., 2009. "Designing Climate Mitigation Policy," Discussion Papers dp-08-16, Resources For the Future.
  5. Agrawala, Shardul & Bosello, Francesco & Carraro, Carlo & de Cian, Enrica & Lanzi, Elisa, 2011. "Adapting to Climate Change: Costs, Benefits, and Modelling Approaches," International Review of Environmental and Resource Economics, now publishers, vol. 5(3), pages 245-284, August.
  6. Nadezhda Kozlovskaya & Leon Petrosyan & Nikolay Zenkevich, 2010. "Coalitional Solution Of A Game-Theoretic Emission Reduction Model," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 275-286.
  7. Buob, Seraina & Stephan, Gunter, 2011. "To mitigate or to adapt: How to confront global climate change," European Journal of Political Economy, Elsevier, vol. 27(1), pages 1-16, March.
  8. GERMAIN, Marc & TOINT, Philippe & TULKENS, Henry & DE ZEEUW, Aart, . "Transfers to sustain dynamic core-theoretic cooperation in international stock pollutant control," CORE Discussion Papers RP -1637, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  9. Brechet, Thierry & HRITONENKO, Natali & YATSENKO, Yuri, 2010. "Adaptation and mitigation in long-term climate policies," CORE Discussion Papers 2010065, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  10. Petrosjan, Leon & Zaccour, Georges, 2003. "Time-consistent Shapley value allocation of pollution cost reduction," Journal of Economic Dynamics and Control, Elsevier, vol. 27(3), pages 381-398, January.
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