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Optimal coalition splitting with heterogenous strategies

Author

Listed:
  • Raouf Boucekkine

    (Rennes School of Business)

  • Carmen Camacho

    (Paris School of Economics & CNRS)

  • Weihua Ruan

    (Purdue University Northwest)

  • Benteng Zou

    (Université du Luxembourg)

Abstract

We consider a group of players initially members of a coalition managing cooperatively a public bad, in this case, the stock of pollution. Countries are technologically heterogeneous but the pollution damage is uniform. We essentially attempt to characterize the conditions under which a country may eventually split and when it splits within an infinite horizon multi-stage differential game. In contrast to the existing literature, we do not assume that after splitting, the splitting player and the remaining coalition will adopt Markovian strategies. Instead, we assume that the latter will remain committed to the collective control of pollution and play open-loop, while the splitting player plays Markovian. Within a full linear-quadratic model, we characterize the optimal strategies. We later compare with the outcomes of the case where the splitting player and the \remaining" coalition play both Markovian. We highlight several interesting results in terms of the implications for long- term pollution levels and the duration of coalitions with heterogenous strategies.

Suggested Citation

  • Raouf Boucekkine & Carmen Camacho & Weihua Ruan & Benteng Zou, 2022. "Optimal coalition splitting with heterogenous strategies," DEM Discussion Paper Series 22-13, Department of Economics at the University of Luxembourg.
  • Handle: RePEc:luc:wpaper:22-13
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    File URL: http://hdl.handle.net/10993/52314
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    2. Raouf Boucekkine & Carmen Camacho & Weihua Ruan & Benteng Zou, 2024. "How Do Coalitions Break Down? An Alternative View," Dynamic Games and Applications, Springer, vol. 14(1), pages 157-194, March.

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    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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