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A Discrete-Time Dynamic Game of Seasonal Water Allocation

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  • J. B. Krawczyk

    (Victoria University of Wellington)

  • M. Tidball

    (Institut National de Recherche en Agronomie)

Abstract

We present a method for the derivation of feedback Nash equi- libria in discrete-time finite-horizon nonstationary dynamic games. A partic- ular motivation for such games stems from environmental economics, where problems of seasonal competition for water levels occur frequently among heterogeneous economic agents. These agents are coupled through a state variable, which is the water level. Actions are strategically chosen to max- imize the agents individual season-dependent utility functions. We observe that, although a feedback Nash equilibrium exists, it does not satisfy the (exogenous) environmental watchdog expectations. We devise an incentive scheme to help meeting those expectations and calculate a feedback Nash equilibrium for the new game that uses the scheme. This solution is more environmentally friendly than the previous one. The water allocation game solutions help us to draw some conclusions regarding the agents behavior and also about the existence of feedback Nash equilibria in dynamic games.

Suggested Citation

  • J. B. Krawczyk & M. Tidball, 2006. "A Discrete-Time Dynamic Game of Seasonal Water Allocation," Journal of Optimization Theory and Applications, Springer, vol. 128(2), pages 411-429, February.
  • Handle: RePEc:spr:joptap:v:128:y:2006:i:2:d:10.1007_s10957-006-9020-0
    DOI: 10.1007/s10957-006-9020-0
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    References listed on IDEAS

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    1. Rubio, Santiago J. & Casino, Begona, 2001. "Competitive versus efficient extraction of a common property resource: The groundwater case," Journal of Economic Dynamics and Control, Elsevier, vol. 25(8), pages 1117-1137, August.
    2. Krawczyk, Jacek B. & Lifran, Robert & Tidball, Mabel, 2005. "Use of coupled incentives to improve adoption of environmentally friendly technologies," Journal of Environmental Economics and Management, Elsevier, vol. 49(2), pages 311-329, March.
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    Cited by:

    1. Rajani Singh & Agnieszka Wiszniewska-Matyszkiel, 2020. "A class of linear quadratic dynamic optimization problems with state dependent constraints," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 91(2), pages 325-355, April.
    2. D. W. K. Yeung & L. A. Petrosyan, 2011. "Subgame Consistent Cooperative Solution of Dynamic Games with Random Horizon," Journal of Optimization Theory and Applications, Springer, vol. 150(1), pages 78-97, July.
    3. Krawczyk, Jacek & Azzato, Jeffrey, 2006. "NISOCSol an algorithm for approximating Markovian equilibria in dynamic games with coupled-constraints," MPRA Paper 1195, University Library of Munich, Germany.
    4. Pereau, Jean-Christophe & Pryet, Alexandre & Rambonilaza, Tina, 2019. "Optimality Versus Viability in Groundwater Management with Environmental Flows," Ecological Economics, Elsevier, vol. 161(C), pages 109-120.
    5. Dan Protopopescu, 2009. "Nash Equilibrium Strategies in Discrete-Time Finite-Horizon Dynamic Games with Risk-and Effort-Averse Players," UFAE and IAE Working Papers 798.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

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