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Conclusions

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Abstract

As the concluding chapter of the book, this chapter has two purposes. The first is to provide an overview of the main conclusions, the primary lessons, arising from the previous seven chapters. The second is to point to major gaps in the literature, pertaining to game theory and fisheries management, and thus to look forward to the future challenges in the application of game theory to fisheries management.

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Notes

  1. 1.

    These seemingly sharp differences have to be qualified to a certain degree. In the case of the static symmetric non-cooperative fishery games, for some parameter values, one can in fact approach a situation, which is close to that of Bionomic Equilibrium, with n far below ∞. With respect to the dynamic non-cooperative fishery games discussed in Chap. 3, many simplifying assumptions are used. More complex dynamic non-cooperative fishery games will be found to yield less drastic results.

  2. 2.

    The cooperative games that are examined are, without exception, dynamic. Static cooperative games do not add to our store of knowledge.

  3. 3.

    As Chap. 3 clearly demonstrates.

  4. 4.

    In the discussion of non-cooperative games in fisheries, the point was made that cooperative games are linked to non-cooperative games. Chapter 6 provides a clear example with its title being: “Non-cooperative Coalition Formation Games”.

  5. 5.

    See, for example, Sumaila (2013) and Bellanger et al. (2019).

References

  • Bellanger, M., Holland, D., Anderson, C., & Guyader, O. (2019). Incentive effect of joint and several liability in fishery cooperatives on regulatory compliance. Fish and Fisheries, 20, 715–728.

    Google Scholar 

  • Clark, C. W. (1980). Restricted access to common-property fishery resources: A game theoretic analysis. In P. Liu (Ed.), Dynamic optimization and mathematical economics (pp. 117–132). New York: Plenum Press.

    Chapter  Google Scholar 

  • Ellefsen, H., Grønbæk, L., & Ravn-Jonsen, L. (2017). On international fisheries agreements, entry deterrence, and ecological uncertainty. Journal of Environmental Management, 193, 118–125.

    Article  Google Scholar 

  • Friedman, D. (1991). Evolutionary games in economics. Econometrica, 59(3), 637–666.

    Article  Google Scholar 

  • Grønbæk, L., Lindroos, M., Munro, G., & Pintassilgo, P. (2019). Game theory and fisheries management: Insights and future areas of research. Paper presented to the North American Association of Fisheries Economists Forum 2019, Halifax, Nova Scotia, May 2019.

    Google Scholar 

  • Hannesson, R. (1997). Fishing as a supergame. Journal of Environmental Economics and Management, 32, 309–322.

    Article  Google Scholar 

  • Levhari, D., & Mirman, L. J. (1980). The great fish war: An example using a dynamic Cournot-Nash solution. The Bell Journal of Economics, 11(1), 322–334.

    Article  Google Scholar 

  • Mina, J. S. A., Fernández, D. A. R., Ibarra, A. A., & Georgantzis, N. (2016). Economic behavior of fishers under climate-related uncertainty: Results from field experiments in Mexico and Colombia. Fisheries Research, 183, 304–317.

    Article  Google Scholar 

  • Nieminen, E. (2017). Bioeconomic and game theoretic applications of optimal Baltic Sea fisheries management—Towards a holistic approach. Ph.D. thesis, University of Helsinki, Department of Economics and Management, Publications Nr. 65.

    Google Scholar 

  • Sumaila, U. R. (2013). Game theory and fisheries: Essays on the tragedy of free for all fishing. Abingdon: Routledge.

    Book  Google Scholar 

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Grønbæk, L., Lindroos, M., Munro, G., Pintassilgo, P. (2020). Conclusions. In: Game Theory and Fisheries Management . Springer, Cham. https://doi.org/10.1007/978-3-030-40112-2_8

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