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Fisheries Optimal Harvest Under Price and Biomass Uncertainty

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  • Jose Pizarro

    (University of British Columbia)

  • Eduardo Schwartz

    (Simon Fraser University)

Abstract

This article develops and implements a stochastic optimal control approach to value renewable natural resources in the case of Marine Fisheries. The model includes two sources of uncertainty: the resource biomass and the price of fish, and it can be used by fisheries and regulators to optimally adapt their harvesting strategy to changing conditions in these stochastic variables. The model also features realistic operational cash flows. Using publicly available data on the British Columbia halibut fishery, the required parameters are estimated and the model is solved. The results indicate that price uncertainty is especially important in valuing fisheries and determining the optimal harvesting policy.

Suggested Citation

  • Jose Pizarro & Eduardo Schwartz, 2021. "Fisheries Optimal Harvest Under Price and Biomass Uncertainty," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 147-175, January.
    • Handle: RePEc:kap:enreec:v:78:y:2021:i:1:d:10.1007_s10640-020-00528-8
    DOI: 10.1007/s10640-020-00528-8
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    References listed on IDEAS

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    1. Nostbakken, Linda, 2006. "Regime switching in a fishery with stochastic stock and price," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 231-241, March.
    2. Sethi, Gautam & Costello, Christopher & Fisher, Anthony & Hanemann, Michael & Karp, Larry, 2005. "Fishery management under multiple uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 300-318, September.
    3. Burkhard Heer & Alfred Maußner, 2024. "Dynamic General Equilibrium Modeling," Springer Texts in Business and Economics, Springer, edition 3, number 978-3-031-51681-8, August.
    4. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    5. Clark, Colin W. & Kirkwood, Geoffrey P., 1986. "On uncertain renewable resource stocks: Optimal harvest policies and the value of stock surveys," Journal of Environmental Economics and Management, Elsevier, vol. 13(3), pages 235-244, September.
    6. Robert S. Pindyck, 1984. "Uncertainty in the Theory of Renewable Resource Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(2), pages 289-303.
    7. Poudel, Diwakar & Sandal, Leif K. & Kvamsdal, Sturla F. & Steinshamn, Stein I., 2011. "Fisheries Management under Irreversible Investment: Does Stochasticity Matter?," Discussion Papers 2011/20, Norwegian School of Economics, Department of Business and Management Science.
    8. Sturla Kvamsdal & Diwakar Poudel & Leif Sandal, 2016. "Harvesting in a Fishery with Stochastic Growth and a Mean-Reverting Price," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(3), pages 643-663, March.
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    Cited by:

    1. Burkhard Heer & Alfred Maußner, 2024. "Dynamic General Equilibrium Modeling," Springer Texts in Business and Economics, Springer, edition 3, number 978-3-031-51681-8, June.
    2. Singh, Rajesh & Weninger, Quinn, 2023. "Discretion rather than rules in multiple-species fisheries," ISU General Staff Papers 202311071438390000, Iowa State University, Department of Economics.

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