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A Review of Selected Bioeconomic Models with Environmental Influences in Fisheries

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  • Duncan Knowler

Abstract

Bioeconomic models are integrated economic-ecological models, with all the advantages and disadvantages of such models. Most bioeconomic modelling seeks appropriate levels of stock and catch to assist resource managers, normally with environmental conditions assumed constant. However, bioeconomic models can be used to analyse the welfare effects of changes in environmental quality as well. This latter application is the subject of this review. The review concentrates on the commercial harvesting of fish stocks, where population dynamics are influenced by environmental quality. In the first part of the paper, the basic static and dynamic bioeconomic models are described and then extensions are considered that take account of the influence of environmental quality on habitat and, by inference, on sustainable catch levels and measures of economic surplus. The second part of the paper describes a series of case studies from the empirical bioeconomic literature that apply some of the theoretical innovations described earlier. Copyright Kluwer Academic Publishers 2002

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  • Duncan Knowler, 2002. "A Review of Selected Bioeconomic Models with Environmental Influences in Fisheries," Journal of Bioeconomics, Springer, vol. 4(2), pages 163-181, May.
    • Handle: RePEc:kap:jbioec:v:4:y:2002:i:2:p:163-181
    DOI: 10.1023/A:1021151809501
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    2. Zachary Porreca, 2021. "Assessing ocean temperature’s role in fishery production," Journal of Bioeconomics, Springer, vol. 23(3), pages 237-256, October.
    3. Bohan, A. & Shalloo, L. & Malcolm, B. & Ho, C.K.M. & Creighton, P. & Boland, T.M. & McHugh, N., 2016. "Description and validation of the Teagasc Lamb Production Model," Agricultural Systems, Elsevier, vol. 148(C), pages 124-134.
    4. Horatiu A. Rus, 2016. "Renewable Resources, Pollution and Trade," Review of International Economics, Wiley Blackwell, vol. 24(2), pages 364-391, May.
    5. Whitten, Stuart M. & Bennett, Jeffrey W., 2004. "A Bio-Economic Model Of Wetland Protection On Private Lands," 2004 Annual meeting, August 1-4, Denver, CO 20122, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. José G. Vargas-Hernández & Karina Pallagst & Patricia Hammer, 2017. "Bio economy’s institutional and policy framework for the sustainable development of nature´s ecosystems," Economia Coyuntural,Revista de temas de perspectivas y coyuntura, Instituto de Investigaciones Economicas y Sociales 'Jose Ortiz Mercado' (IIES-JOM), Facultad de Ciencias Economicas, Administrativas y Financieras, Universidad Autonoma Gabriel Rene Moreno, vol. 2(3), pages 51-104.
    7. Luz Maria Castro & Fabian Härtl & Santiago Ochoa & Baltazar Calvas & Leonardo Izquierdo & Thomas Knoke, 2018. "Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations," Journal of Bioeconomics, Springer, vol. 20(2), pages 183-211, July.
    8. Knowler, D., 2005. "Reassessing the costs of biological invasion: Mnemiopsis leidyi in the Black sea," Ecological Economics, Elsevier, vol. 52(2), pages 187-199, January.
    9. Eisenack, K. & Welsch, H. & Kropp, J.P., 2006. "A qualitative dynamical modelling approach to capital accumulation in unregulated fisheries," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2613-2636, December.
    10. P. Michael Link & Richard S.J. Tol, 2003. "Economic impacts of changes in population dynamics of fish on the fisheries in the Barents Sea," Working Papers FNU-30, Research unit Sustainability and Global Change, Hamburg University, revised May 2003.
    11. Ing-Marie Gren & Kerstin Holmgren & Willem Goedkoop, 2023. "Fishing motives and economic effects of climate change: an application on Arctic char in northern Sweden," Journal of Bioeconomics, Springer, vol. 25(3), pages 203-223, December.
    12. Nielsen, Rasmus & Hoff, Ayoe & Waldo, Staffan & Hammarlund, Cecilia & Virtanen, Jarno, 2019. "Fishing for nutrients – economic effects of fisheries management targeting eutrophication in the Baltic Sea," Ecological Economics, Elsevier, vol. 160(C), pages 156-167.

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