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Climate games: Who’s on first? What’s on second?

Author

Listed:
  • Margaret Insley

    (Department of Economics, University of Waterloo)

  • Peter A. Forsyth

    (Cheriton School of Computer Science, University of Waterloo)

Abstract

We study four different climate change games and compare with the outcome of choices by a Social Planner. In a dynamic setting, two players choose levels of carbon emissions. Rising atmospheric carbon stocks increase average global temperature which damages player utilities. Temperature is modelled as a stochastic differential equation. We contrast the results of a Stackelberg game with a game in which both players act as leaders (a Leader-Leader, or Trumpian game). We also examine an Interleaved game where there is a significant time interval between player decisions. Finally we examine a game where a Nash equilibrium is chosen if it exists, and otherwise a Stackelberg game is played. One or both players may be better off in these alternative games compared to the Stackelberg game, depending on state variables. We conclude that it is important to consider alternate game structures in examining strategic interactions in pollution games. We also demonstrate that the Stackelberg game is the limit of the Interleaved game as the time between decisions goes to zero.

Suggested Citation

  • Margaret Insley & Peter A. Forsyth, 2019. "Climate games: Who’s on first? What’s on second?," L'Actualité Economique, Société Canadienne de Science Economique, vol. 95(2-3), pages 287-322.
  • Handle: RePEc:ris:actuec:0195
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    Cited by:

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    2. Margaret Insley & Tracy Snoddon & Peter A. Forsyth, 2018. "Strategic interactions and uncertainty in decisions to curb greenhouse gas emissions," Working Papers 1805, University of Waterloo, Department of Economics, revised 06 Jan 2018.

    More about this item

    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
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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