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Wild salmon fishing:Harvesting the old or young?

Author

Listed:
  • Anders Skonhoft

    (Department of Economics, Norwegian University of Science and Technology)

  • Peichen Gong

    (Department of Forest Economics Swedish University of Agricultural Sciences)

Abstract

This paper develops an optimal harvesting model for the wild Atlantic salmon (Salmo salar), where various age classes of the population is included. It is shown that the marginal value-fecundity relationship of the spawning population, comprising young and old fish, is crucial for the optimal fishing composition. If the marginal value-fecundity ratio is higher for the old spawning population,this age-class should be harvested more aggressively than the young spawning population, and vice versa. It is also shown that changes in prices and interest rate have similar as well as different effects than in the standard fishing biomass model. Changes in the relative price for the harvestable age classes could either increase or reduce the optimal harvest intensity, or have no effect. While a higher interest rate tends to increase the exploitation pressure there also exist intervals in which the optimal harvest program is not affected by changes in the interest rate.

Suggested Citation

  • Anders Skonhoft & Peichen Gong, 2013. "Wild salmon fishing:Harvesting the old or young?," Working Paper Series 15513, Department of Economics, Norwegian University of Science and Technology.
  • Handle: RePEc:nst:samfok:15513
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    File URL: http://www.svt.ntnu.no/iso/WP/2013/17_salmon_AS.pdf
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    References listed on IDEAS

    as
    1. Kulmala, Soile & Laukkanen, Marita & Michielsens, Catherine, 2008. "Reconciling economic and biological modeling of migratory fish stocks: Optimal management of the Atlantic salmon fishery in the Baltic Sea," Ecological Economics, Elsevier, vol. 64(4), pages 716-728, February.
    2. Quaas, Martin F. & Requate, Till & Ruckes, Kirsten & Skonhoft, Anders & Vestergaard, Niels & Voss, Rudi, 2013. "Incentives for optimal management of age-structured fish populations," Resource and Energy Economics, Elsevier, vol. 35(2), pages 113-134.
    3. Anders Skonhoft & Niels Vestergaard & Martin Quaas, 2012. "Optimal Harvest in an Age Structured Model with Different Fishing Selectivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(4), pages 525-544, April.
    4. McConnell, Kenneth E. & Sutinen, Jon G., 1979. "Bioeconomic models of marine recreational fishing," Journal of Environmental Economics and Management, Elsevier, vol. 6(2), pages 127-139, June.
    5. Naevdal, Eric & Olaussen, Jon Olaf & Skonhoft, Anders, 2012. "A bioeconomic model of trophy hunting," Ecological Economics, Elsevier, vol. 73(C), pages 194-205.
    6. Diekert, Florian K. & Hjermann, Dag Ø. & Nævdal, Eric & Stenseth, Nils Chr., 2010. "Non-cooperative exploitation of multi-cohort fisheries--The role of gear selectivity in the North-East Arctic cod fishery," Resource and Energy Economics, Elsevier, vol. 32(1), pages 78-92, January.
    7. Tahvonen, Olli, 2009. "Economics of harvesting age-structured fish populations," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 281-299, November.
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    Cited by:

    1. Kanik, Zafer & Kucuksenel, Serkan, 2016. "Quota implementation of the maximum sustainable yield for age-structured fisheries," MPRA Paper 70535, University Library of Munich, Germany.

    More about this item

    Keywords

    Salmon fishery; age classes; maximum economic yield;

    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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