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A Class Of Games With Coupled Constraints To Model International Ghg Emission Agreements

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  • O. BAHN

    (GERAD and MQG, HEC Montréal, Montréal, Canada)

  • A. HAURIE

    (ORDECSYS, Geneva, Switzerland;
    University of Geneva, Switzerland;
    GERAD and MQG, HEC Montréal, Montréal, Canada)

Abstract

This paper deals with the design of equilibrium solutions with coupled constraints in dynamic games of greenhouse gas (GHG) emissions abatement. Self enforcing International Environmental Agreements (IEA) among different groups of countries call for Nash equilibrium solutions when the abatement strategies of the countries are defined. In this paper we study the effect of having another party, like e.g. the United Nations which would impose to all players a coupled constraint on the total emissions allowed over the 21st century, or on the concentration of carbon reached at the end of the century. We show, using different formulations of environmental game, that the normalized equilibria obtained under a coupled constraint on emissions or concentration is close to Pareto optimality. This gives a clue on the way the post Kyoto negotiations could yield an agreement which could be close to efficiency.

Suggested Citation

  • O. Bahn & A. Haurie, 2008. "A Class Of Games With Coupled Constraints To Model International Ghg Emission Agreements," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 337-362.
    • Handle: RePEc:wsi:igtrxx:v:10:y:2008:i:04:n:s0219198908001984
    DOI: 10.1142/S0219198908001984
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    References listed on IDEAS

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    1. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
    2. Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "A World Induced Technical Change Hybrid Model," The Energy Journal, , vol. 27(2_suppl), pages 13-37, June.
    3. Valentina Bosetti & Emanuele Massetti & Massimo Tavoni, 2007. "The WITCH Model. Structure, Baseline, Solutions," Working Papers 2007.10, Fondazione Eni Enrico Mattei.
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    Citations

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    Cited by:

    1. Frédéric Babonneau & Alain Haurie & Marc Vielle, 2016. "Assessment of balanced burden-sharing in the 2050 EU climate/energy roadmap: a metamodeling approach," Climatic Change, Springer, vol. 134(4), pages 505-519, February.
    2. Henry Tulkens, 2016. "COP 21 and Economic Theory: Taking Stock," Revue d'économie politique, Dalloz, vol. 126(4), pages 471-486.
    3. Frédéric Babonneau & Alain Haurie & Marc Vielle, 2013. "A robust meta-game for climate negotiations," Computational Management Science, Springer, vol. 10(4), pages 299-329, December.
    4. Tulkens, Henry, 2016. "COP 21 and Economic Theory: Taking Stock," ET: Economic Theory 236237, Fondazione Eni Enrico Mattei (FEEM).
    5. Christoph Böhringer & Carsten Helm & Laura Schürer, 2023. "How to Boost Countries’ Climate Ambitions: Turning Gains from Emissions Trading into Gains for Climate," CESifo Working Paper Series 10624, CESifo.
    6. O. Bahn & A. Haurie, 2016. "A Cost-Effectiveness Differential Game Model for Climate Agreements," Dynamic Games and Applications, Springer, vol. 6(1), pages 1-19, March.

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    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C0 - Mathematical and Quantitative Methods - - General
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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