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Non-linear Incentive Equilibrium Strategies for a Transboundary Pollution Differential Game

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Games in Management Science

Abstract

In this paper we apply non-linear incentive strategies to sustain over time an agreement. We illustrate the use of these strategies in a linear-quadratic transboundary pollution differential game. The incentive strategies are constructed in such a way that in the long run the pollution stock (the state variable) is close to the steady state of the pollution stock under the cooperative mode of play. The non-linear incentive functions depend on the emission rates (control variables) of both players and on the current value of the pollution stock. The credibility of the incentive equilibrium strategies is analyzed and the performance of open-loop and feedback incentive strategies is compared in their role of helping to sustain an agreement over time. We present numerical experiments to illustrate the results.

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Notes

  1. 1.

    We are indebted to an anonymous reviewer for bringing this interpretation to our attention.

  2. 2.

    To simplify the notation we will drop the explicit dependence on the time variable when no confusion can arise.

  3. 3.

    The pollution stock and emission time-paths for the Nash and incentive equilibria as well as the payoffs when the players use feedback strategies presented later in this paper have been taken from De Frutos and Martín-Herrán (2015).

  4. 4.

    We thank an anonymous reviewer for pointing out this question.

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Acknowledgements

We are grateful to two anonymous reviewers for valuable comments and suggestions in an earlier draft of this paper. This research is partially supported by MINECO under projects MTM2016-78995-P (AEI) (Javier de Frutos) and ECO2014-52343-P and ECO2017-82227-P (AEI) (Guiomar Martín-Herrán) and by Junta de Castilla y León VA024P17 and VA105G18 co-financed by FEDER funds (EU).

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Correspondence to Guiomar Martín-Herrán .

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de Frutos, J., Martín-Herrán, G. (2020). Non-linear Incentive Equilibrium Strategies for a Transboundary Pollution Differential Game. In: Pineau, PO., Sigué, S., Taboubi, S. (eds) Games in Management Science. International Series in Operations Research & Management Science, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19107-8_11

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