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Optimal coalition splitting with heterogenous strategies

Author

Listed:
  • Raouf Boucekkine

    (ESC [Rennes] - ESC Rennes School of Business)

  • Carmen Camacho

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Weihua Ruan

    (Purdue University Northwest)

  • Benteng Zou

    (University of Luxembourg [Luxembourg])

Abstract

Purpose – The authors characterize the conditions under which a country may eventually split and when it splits within an infinite horizon multi-stage differential game. Design/methodology/approach – In contrast to the existing literature, the authors do not assume that after splitting, players will adopt Markovian strategies. Instead, the authors assume that while the splitting country plays Markovian, the remaining coalition remains committed to the collective control of pollution and plays open-loop. Findings – Within a full linear-quadratic model, the authors characterize the optimal strategies. The authors later compare with the outcomes of the case where the splitting country and the remaining coalition play both Markovian. The authors highlight several interesting results in terms of the implications for long-term pollution levels and the duration of coalitions under heterogenous strategies as compared to Markovian behavior. Originality/value – In this paper, the authors have illustrated the richness of the simplications of enlarging the set of strategies in terms of the emergence of coalitions, their duration and the implied welfare levels per player. Varying only three parameters (the technological gap, pollution damage and coalition payoff share distribution across players), the authors have been able to generate, among other findings, quite different rankings of welfare per player depending on whether the remaining coalitions after split play Markovian or stay precommited to the pre-splitting period decisions

Suggested Citation

  • Raouf Boucekkine & Carmen Camacho & Weihua Ruan & Benteng Zou, 2023. "Optimal coalition splitting with heterogenous strategies," PSE-Ecole d'économie de Paris (Postprint) halshs-04353691, HAL.
  • Handle: RePEc:hal:pseptp:halshs-04353691
    DOI: 10.1108/FREP-05-2023-0021
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    References listed on IDEAS

    as
    1. Boucekkine, R. & Pommeret, A. & Prieur, F., 2013. "Optimal regime switching and threshold effects," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2979-2997.
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    4. Benteng Zou, 2016. "Differential Games with (A) symmetric Players and Heterogeneous Strategies," Journal of Reviews on Global Economics, Lifescience Global, vol. 5, pages 171-179.
    5. Raouf Boucekkine & Carmen Camacho & Weihua Ruan & Benteng Zou, 2022. "Why and when coalitions split? An alternative analytical approach with an application to environmental agreements," LIDAM Discussion Papers IRES 2022013, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
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    11. Benteng Zou, 2016. "Differential Games with (A) symmetric Players and Heterogeneous Strategies," Journal of Reviews on Global Economics, Lifescience Global, vol. 5, pages 171-179.
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    More about this item

    Keywords

    Coalition splitting; Environmental agreements; Differential games; Multistage optimal control; Precommitment vs Markovian;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

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