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The international stock pollutant control: a stochastic formulation with transfers

  • Omar J. Casas

    ()

  • Rosario Romera

    ()

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    This paper provides a formulation of a stochastic dynamic game that arise in the real scenario of international environmental agreements on the transnational pollution control. More specifically, this agreements try to reduce the environmental damage caused by the stock pollutant that accumulates in the atmosphere, such as CO2. To improve the non-cooperative equilibrium among countries, we propose the criteria of the minimization of the expected discounted total cost with monetary transfers between the countries involved as an incentive to cooperation. Moreover, it considers the formulation of Stochastic Dynamic Games as Markov Decision Processes, using tools of Stochastic Optimal Control and Stochastic Dynamic Programming. The performance of the proposed schemes is illustrated by its application to such environmental problem.

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    File URL: http://e-archivo.uc3m.es/bitstream/10016/11874/1/ws112217.pdf
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    Paper provided by Universidad Carlos III, Departamento de Estadística y Econometría in its series Statistics and Econometrics Working Papers with number ws112217.

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    Date of creation: Jul 2011
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    Handle: RePEc:cte:wsrepe:ws112217
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    1. Keller, Klaus & Bolker, Benjamin M. & Bradford, D.F.David F., 2004. "Uncertain climate thresholds and optimal economic growth," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 723-741, July.
    2. Van Der Ploeg, F. & De Zeeuw, A.J., 1990. "International Aspects Of Pollution Control," Papers 9065, Tilburg - Center for Economic Research.
    3. Eyckmans, Johan & Tulkens, Henry, 2003. "Simulating coalitionally stable burden sharing agreements for the climate change problem," Resource and Energy Economics, Elsevier, vol. 25(4), pages 299-327, October.
    4. Carlo Carraro & Johan Eyckmans & Michael Finus, 2005. "Optimal Transfers and Participation Decisions in International Environmental Agreements," Working Papers 2005.50, Fondazione Eni Enrico Mattei.
    5. 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.
    6. CHANDER, Parkash & TULKENS, Henry, 1995. "The Core of an Economy with Multilateral Environmental Externalities," CORE Discussion Papers 1995050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Dechert, W.D. & O'Donnell, S.I., 2006. "The stochastic lake game: A numerical solution," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1569-1587.
    8. 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.
    9. Germain, M. & Toint, Ph. & Tulkens, H. & de Zeeuw, A.J., 2003. "Transfers to sustain dynamic core-theoretic cooperation in international stock pollutant control," Other publications TiSEM 8953bc6e-fc65-4fd7-a2d1-6, Tilburg University, School of Economics and Management.
    10. Germain, Marc & Toint, Philippe & Tulkens, Henry & de Zeeuw, Aart, 2003. "Transfers to sustain dynamic core-theoretic cooperation in international stock pollutant control," Journal of Economic Dynamics and Control, Elsevier, vol. 28(1), pages 79-99, October.
    11. Santiago Rubio & Begoña Casino, 2005. "Self-enforcing international environmental agreements with a stock pollutant," Spanish Economic Review, Springer, vol. 7(2), pages 89-109, 06.
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