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An Enforcement-Coalition Model: Fishermen and Authorities forming Coalitions

Author

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  • Lone Grønbæk Kronbak

    (Department of Environmental and Business Economics, University of Southern Denmark)

  • Marko Lindroos

    (Department of Economics and Management, University of Helsinki)

Abstract

The paper sets up a four-stage enforcement model of fish quotas. The purpose of the paper is to show how the level of enforcement set by the authorities af-fects the way fishermen form coalitions. We show that a high level of control effort yields less cooperation among fishermen, while in the case of low control effort, coalitions are somewhat self-enforcing. The paper further discusses how the optimal enforcement level changes when the coalition formation among au-thorities changes: centralised, partly centralised and decentralised authorities. We show that decentralised authorities set a lower level of control effort com-pared to the centralised authorities. The theoretical results are illustrated by simulations of the Baltic Sea cod fishery.

Suggested Citation

  • Lone Grønbæk Kronbak & Marko Lindroos, 2003. "An Enforcement-Coalition Model: Fishermen and Authorities forming Coalitions," Working Papers 50/03, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    • Handle: RePEc:sdk:wpaper:50
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    1. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    2. Ruseski, Gorazd, 1998. "International Fish Wars: The Strategic Roles for Fleet Licensing and Effort Subsidies," Journal of Environmental Economics and Management, Elsevier, vol. 36(1), pages 70-88, July.
    3. Jon G. Sutinen & Peder Andersen, 1985. "The Economics of Fisheries Law Enforcement," Land Economics, University of Wisconsin Press, vol. 64(4), pages 387-397.
    4. Lone Kronbak & Marko Lindroos, 2006. "An Enforcement-Coalition Model: Fishermen and Authorities Forming Coalitions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 35(3), pages 169-194, November.
    5. Caplan, Arthur J. & Silva, Emilson C. D., 1999. "Federal Acid Rain Games," Journal of Urban Economics, Elsevier, vol. 46(1), pages 25-52, July.
    6. Frank Jensen & Niels Vestergaard, 2002. "A Principal-Agent Analysis of Fisheries," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 158(2), pages 276-285, June.
    7. Lone Grønbæk Kronbak, 2002. "The Dynamics of an Open Access: The case of the Baltic Sea Cod Fishery - A Strategic Approach -," Working Papers 31/02, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    8. Jensen, Frank & Vestergaard, Niels, 2002. "Moral hazard problems in fisheries regulation: the case of illegal landings and discard," Resource and Energy Economics, Elsevier, vol. 24(4), pages 281-299, November.
    9. Hannesson, Rognvaldur, 1997. "Fishing as a Supergame," Journal of Environmental Economics and Management, Elsevier, vol. 32(3), pages 309-322, March.
    10. Oecd, 2002. "Access for Business," OECD Digital Economy Papers 67, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Lone Kronbak & Marko Lindroos, 2006. "An Enforcement-Coalition Model: Fishermen and Authorities Forming Coalitions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 35(3), pages 169-194, November.
    2. Lone Grønbæk Kronbak, 2004. "A Coalition Game of the Baltic Sea Cod Fishery," Working Papers 55/04, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    3. Pedro Pintassilgo & Michael Finus & Marko Lindroos & Gordon Munro, 2010. "Stability and Success of Regional Fisheries Management Organizations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(3), pages 377-402, July.
    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. Basak Bayramoglu & Brian Copeland & Jean-François Jacques, 2018. "Trade and fisheries subsidies [Le commerce international et les subventions à la pêche]," Post-Print hal-02624649, HAL.
    6. Bayramoglu, Basak & Copeland, Brian R. & Jacques, Jean-Francois, 2018. "Trade and fisheries subsidies," Journal of International Economics, Elsevier, vol. 112(C), pages 13-32.
    7. Pedro Pintassilgo & Lone Kronbak & Marko Lindroos, 2015. "International Fisheries Agreements: A Game Theoretical Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(4), pages 689-709, December.
    8. Diana Dijk & Eligius M. T. Hendrix & Rene Haijema & Rolf A. Groeneveld & Ekko C. Ierland, 2017. "An Adjustment Restriction on Fish Quota: Resource Rents, Overcapacity and Recovery of Fish Stock," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(2), pages 203-230, June.
    9. Emmi Nieminen & Lone Grønbæk Kronbak & Marko Lindroos, 2016. "International Agreements in the Multispecies Baltic Sea Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(1), pages 109-134, September.
    10. Gakushi Ishimura & Sam Herrick & Ussif Sumaila, 2013. "Fishing games under climate variability: transboundary management of Pacific sardine in the California Current System," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(2), pages 189-209, April.

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    More about this item

    Keywords

    Coalition formation; Fisheries management; Quota enforcement; Self-enforcing policy;
    All these keywords.

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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