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A bioeconomic model for estimating the optimal level of deer and tag sales

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  • Joseph Cooper

Abstract

This paper presents a dynamic model that determines the optimal number of deer hunting permit sales, subject to the objective of maximizing the discounted economic benefits stream from both the consumptive and nonconsumptive uses of deer. This bioeconomic model integrates economic benefits estimated using the dichotomous choice contingent valuation method with biological growth constraints on deer. Using a hunting zone in California as a case study, the model found that the optimal levels of buck hunting permits sold should change on a rotational basis over time and that the current practice of not selling doe hunting permits for that zone is non optimal. Copyright Kluwer Academic Publishers 1993

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  • Joseph Cooper, 1993. "A bioeconomic model for estimating the optimal level of deer and tag sales," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(6), pages 563-579, December.
    • Handle: RePEc:kap:enreec:v:3:y:1993:i:6:p:563-579
    DOI: 10.1007/BF00364060
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    References listed on IDEAS

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    1. Trudy Ann Cameron, 1991. "Interval Estimates of Non-Market Resource Values from Referendum Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 67(4), pages 413-421.
    2. Mumy, Gene E & Hanke, Steve H, 1975. "Public Investment Criteria for Underpriced Public Products," American Economic Review, American Economic Association, vol. 65(4), pages 712-720, September.
    3. Keith, John E. & Lyon, Kenneth S., 1985. "Valuing Wildlife Management: A Utah Deer Herd," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(2), pages 1-7, December.
    4. Richard T. Carson, 2011. "Contingent Valuation," Books, Edward Elgar Publishing, number 2489.
    5. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    6. McConnell, K. E., 1990. "Models for referendum data: The structure of discrete choice models for contingent valuation," Journal of Environmental Economics and Management, Elsevier, vol. 18(1), pages 19-34, January.
    7. McConnell, Kenneth E., 1989. "The Optimal Quantity Of Land In Agriculture," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 18(2), pages 1-10, October.
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    Cited by:

    1. Kurt Schwabe & Peter Schuhmann & Roy Boyd & Khosrow Doroodian, 2001. "The Value of Changes in Deer Season Length: An Application of the Nested Multinomial Logit Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(2), pages 131-147, June.
    2. Curtis, John & Lynch, Lori, 2001. "Explaining Deer Population Preferences: An Analysis of Farmers, Hunters and the General Public," Agricultural and Resource Economics Review, Cambridge University Press, vol. 30(1), pages 44-55, April.
    3. Herruzo, A.C. & Martínez-Jauregui, M. & Carranza, J. & Campos, P., 2016. "Commercial income and capital of hunting: an application to forest estates in Andalucía," Forest Policy and Economics, Elsevier, vol. 69(C), pages 53-61.
    4. Jon Olaf Olaussen & Anders Skonhoft, 2005. "The economics of a stage-structured wildlife population model," Working Paper Series 6405, Department of Economics, Norwegian University of Science and Technology, revised 31 May 2007.
    5. Meyer, Kevin Michael, 2017. "Three essays on environmental and resource economics," ISU General Staff Papers 201701010800006585, Iowa State University, Department of Economics.

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