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Cannibalism and the Optimal Sharing of the North-East Atlantic Cod Stock: a Bioeconomic Model

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  • Claire Armstrong
  • Ussif Sumaila

Abstract

This paper shows how intra-stock relations such as cannibalism and growth enhancement, determine the economically optimal sharing of a fish resource between heterogeneous harvesting agents. The sharing of resources between different vessel groups is often left for political decision making. Nonetheless, such decisions may have both biological and economic consequences. This becomes quite clear when different harvesting groups exploit different sections (age groups) of a stock that has intra-stock interactions in the form of cannibalism. A two-agent bioeconomic model with cannibalism is developed and used to determine (i) optimal annual harvest sizes (TACs) for cod, and (ii) the optimal proportion of the TAC that should be harvested by the different vessel groups in the fishery. Applying biological and economic data in a numerical procedure, and comparing the results obtained to previous studies, it is shown that intra-stock interactions such as the presence of cannibalism has a significant impact on who should take what proportion of the TAC, and hence, the standing stock size and discounted economic rent achievable. In contrast to other studies, we find that the optimal harvest requires that both trawlers and coastal vessels should harvest the fish resource. In addition, the results indicate that, from a bioeconomic perspective, the existing trawler fleet’s harvest share in the cod fishery is too high. Copyright Kluwer Academic Publishers 2000

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  • Claire Armstrong & Ussif Sumaila, 2000. "Cannibalism and the Optimal Sharing of the North-East Atlantic Cod Stock: a Bioeconomic Model," Journal of Bioeconomics, Springer, vol. 2(2), pages 99-115, May.
    • Handle: RePEc:kap:jbioec:v:2:y:2000:i:2:p:99-115
    DOI: 10.1023/A:1011429907162
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    References listed on IDEAS

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    1. Nash, John, 1953. "Two-Person Cooperative Games," Econometrica, Econometric Society, vol. 21(1), pages 128-140, April.
    2. H. Klieve & T. Gordon MacAulay, 1993. "A Game Theory Analysis Of Management Strategies For The Southern Bluefin Tuna Industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 37(1), pages 17-32, April.
    3. Klieve, H. M. & MacAulay, T. Gordon, 1993. "A Game Theory Analysis Of Management Strategies For The Southern Bluefin Tuna Industry," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 37(1), pages 1-16, April.
    4. Ussif Sumaila, 1997. "Cooperative and Non-Cooperative Exploitation of the Arcto-Norwegian Cod Stock," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 10(2), pages 147-165, September.
    5. Sumaila, Ussif Rashid, 1999. "A review of game-theoretic models of fishing," Marine Policy, Elsevier, vol. 23(1), pages 1-10, January.
    6. Gordon R. Munro, 1979. "The Optimal Management of Transboundary Renewable Resources," Canadian Journal of Economics, Canadian Economics Association, vol. 12(3), pages 355-376, August.
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    Citations

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    Cited by:

    1. Ussif Rashid Sumaila & Claire W. Armstrong, 2006. "Distributional and Efficiency Effects of Marine Protected Areas: A Study of the Northeast Atlantic Cod Fishery," Land Economics, University of Wisconsin Press, vol. 82(3), pages 321-332.
    2. McWhinnie, Stephanie F., 2009. "The tragedy of the commons in international fisheries: An empirical examination," Journal of Environmental Economics and Management, Elsevier, vol. 57(3), pages 321-333, May.
    3. P. Michael Link, 2003. "Auswirkungen populationsdynamischer Veränderungen in Fischbeständen auf die Fischereiwirtschaft in der Barentssee," Working Papers FNU-29, Research unit Sustainability and Global Change, Hamburg University, revised May 2003.
    4. Helgesen, Irmelin Slettemoen & Skonhoft, Anders & Eide, Arne, 2018. "Maximum Yield Fishing and Optimal Fleet Composition. A Stage Structured Model Analysis With an Example From the Norwegian North-East Arctic Cod Fishery," Ecological Economics, Elsevier, vol. 153(C), pages 204-217.
    5. Andries Richter & Anne Maria Eikeset & Daan Soest & Florian Klaus Diekert & Nils Chr. Stenseth, 2018. "Optimal Management Under Institutional Constraints: Determining a Total Allowable Catch for Different Fleet Segments in the Northeast Arctic Cod Fishery," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(4), pages 811-835, April.

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