Does the Optimal Size of a Fish Stock Increase with Environmental Uncertainties?
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We analyze the effect of environmental uncertainties on optimal fishery management in a bio-economic fishery model. Unlike most of the literature on resource economics, but in line with ecological models, we allow the different biological processes of survival and recruitment to be affected differently by environmental uncertainties. We show that the overall effect of uncertainty on the optimal size of a fish stock is ambiguous, depending on the prudence of the value function. For the case of a risk-neutral fishery manager, the overall effect depends on the relative magnitude of two opposing effects, the ‘convex-cost effect’ and the ‘gambling effect’. We apply the analysis to the Baltic cod and the North Sea herring fisheries, concluding that for risk neutral agents the net effect of environmental uncertainties on the optimal size of these fish stocks is negative, albeit small in absolute value. Under risk aversion, the effect on optimal stock size is positive for sufficiently high coefficients of constant relative risk aversion.
KeywordsFishery economics Environmental uncertainty Constant escapement Risk aversion Prudence
JEL ClassificationQ22 Q57
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- Beverton RJH, Holt SJ (1957) On the dynamics of exploited fish populations. Blackburn Press, CaldwellGoogle Scholar
- Clark CW (1990) Mathematical bioeconomics. Wiley, New YorkGoogle Scholar
- Fiskeridirektoratet (2007) Fiskeristatistisk Årbog 2007 (yearbook of fishery statistics 2007). Ministeriet for Fødevarer, Landbrug og Fiskeri, Kopenhavn, and previous editions from 2000 onwardsGoogle Scholar
- Fiskeriregnskabsstatistik (2007) Account statistics for fishery. Ministeriet for Fødevarer, Landbrug og Fiskeri, Statens Jordbrugs- og Fiskeriøkonomiske Institut, Kopenhavn, and previous editions from 2000 onwardsGoogle Scholar
- ICES (1998) Report of the study group on stock-recruitment relationships for north sea autumn-spawning herring. ICES CM 1998/D:2, p 60Google Scholar
- ICES (2007) Report of the herring assessment working group for the area south of 62on. ICES CM 2007/ACFM:11, p 538Google Scholar
- ICES (2009) Report of the Baltic fisheries assessment working group (WGBFAS). ICES CM 2009/ACOM:07Google Scholar
- ICES (2010a) Ices advice 2010, book 6. International Council of the Exploration of the Sea, CopenhagenGoogle Scholar
- ICES (2010b) Ices advice 2010, book 8. International Council of the Exploration of the Sea, CopenhagenGoogle Scholar
- ICES (2011) Report of the Baltic fisheries assessment working group (WGBFAS). ICES CM 2011/ACOM:11Google Scholar
- Kronbak LG (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 Environmental and Business EconomicsGoogle Scholar
- Kronbak LG (2005) The dynamics of an open-access fishery: Baltic Sea cod. Marine Resour Econ 19: 459–479Google Scholar
- Miranda M, Fackler P (2002) Applied computational economics and finance. MIT Press, CambridgeGoogle Scholar
- Nostbakken L (2008) Stochastic modelling of the North Sea herring fishery under alternative management regimes. Marine Resour Econ 22:63–84Google Scholar
- Pindyck RS (1984) Uncertainty in the theory of renewable resource markets. Rev Econ Stud LI, 289–303Google Scholar
- Quaas M, Requate T, Ruckes K, Skonhoft A, Vestergaard N, Voss R (2010) Incentives for optimal management of age-structured fish populations. In: WCERE 2010; fourth world congress of environmental and resource economists; June 28 to July 2, 2010, MontrealGoogle Scholar