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Game theory and the development of resource management policy: the case of international fisheries

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  • MUNRO, GORDON R.

Abstract

This paper is not concerned with advances in game theory. Rather, the paper is concerned with the relevance, if any, of game theory to a major resource management issue, namely the management of internationally shared fishery resources. It is argued that the economics of the management of such resources cannot, in fact, be understood, other than through the lens of game theory. The paper discusses several elementary game theory concepts that are of utmost policy relevance, but which are, as of yet, poorly understood by most policy makers. The paper does, in addition, discuss a key policy problem in the management of shared fishery resources that demands a game-theoretic analysis. The required analysis, however, has yet to be developed.

Suggested Citation

  • Munro, Gordon R., 2009. "Game theory and the development of resource management policy: the case of international fisheries," Environment and Development Economics, Cambridge University Press, vol. 14(1), pages 7-27, February.
    • Handle: RePEc:cup:endeec:v:14:y:2009:i:01:p:7-27_00
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    Cited by:

    1. Soltani, Arezoo & Sankhayan, Prem Lall & Hofstad, Ole, 2016. "Playing forest governance games: State-village conflict in Iran," Forest Policy and Economics, Elsevier, vol. 73(C), pages 251-261.
    2. Theesfeld, Insa & Pirscher, Frauke (ed.), 2011. "Perspectives on institutional change - water management in Europe," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 58, number 109519.
    3. Theesfeld, Insa, 2011. "Perceived power resources in situations of collective action," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 4(1), pages 86-103.
    4. van Dijk, Diana & Hendrix, Eligius M.T. & Haijema, Rene & Groeneveld, Rolf A. & van Ierland, Ekko C., 2014. "On solving a bi-level stochastic dynamic programming model for analyzing fisheries policies: Fishermen behavior and optimal fish quota," Ecological Modelling, Elsevier, vol. 272(C), pages 68-75.
    5. Sareh Vosooghi, 2019. "Panic-Based Overfishing in Transboundary Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1287-1313, August.
    6. Aaron Hatcher & Linda Nøstbakken, 2015. "Quota Setting and Enforcement Choice in a Shared Fishery," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(4), pages 559-575, August.

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