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Two Econometric Approaches for Predicting the Spatial Behavior of Renewable Resource Harvesters

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  • Martin D. Smith
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    Abstract

    This paper analyzes spatial patterns of exploitation in the California sea urchin fishery using two different econometric approaches: a combined count data and SUR model of monthly observations and a micro-level Nested Logit model of individual harvester daily decisions. Each model is used to simulate the spatial distribution of fishing effort. The models are compared using goodness of fit measures and implications for management are discussed.

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    File URL: http://le.uwpress.org/cgi/reprint/78/4/522
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    Article provided by University of Wisconsin Press in its journal Land Economics.

    Volume (Year): 78 (2002)
    Issue (Month): 4 ()
    Pages: 522-538

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    Handle: RePEc:uwp:landec:v:78:y:2002:i:4:p:522-538
    Contact details of provider: Web page: http://le.uwpress.org/

    Keywords:

    Find related papers by JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

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    1. Morey, Edward R. & Waldman, Donald M., 1998. "Measurement Error in Recreation Demand Models: The Joint Estimation of Participation, Site Choice, and Site Characteristics," Journal of Environmental Economics and Management, Elsevier, vol. 35(3), pages 262-276, May.
    2. Sanchirico, James N. & Wilen, James E., 1999. "Bioeconomics of Spatial Exploitation in a Patchy Environment," Journal of Environmental Economics and Management, Elsevier, vol. 37(2), pages 129-150, March.
    3. Rita Curtis & Robert L. Hicks, 2000. "The Cost of Sea Turtle Preservation: The Case of Hawaii's Pelagic Longliners," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1191-1197.
    4. Martin D. Smith, 2000. "Spatial Search and Fishing Location Choice: Methodological Challenges of Empirical Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1198-1206.
    5. Daniel S. Holland & Jon G. Sutinen, 2000. "Location Choice in New England Trawl Fisheries: Old Habits Die Hard," Land Economics, University of Wisconsin Press, vol. 76(1), pages 133-149.
    6. H. Scott Gordon, 1954. "The Economic Theory of a Common-Property Resource: The Fishery," Journal of Political Economy, University of Chicago Press, vol. 62, pages 124-124.
    7. Font, Antoni Riera, 2000. "Mass Tourism and the Demand for Protected Natural Areas: A Travel Cost Approach," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 97-116, January.
    8. Bockstael, Nancy E. & Opaluch, James J., 1983. "Discrete modelling of supply response under uncertainty: The case of the fishery," Journal of Environmental Economics and Management, Elsevier, vol. 10(2), pages 125-137, June.
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    Cited by:

    1. Vallino, Elena & Aldahsev,Gani, 2013. "NGOs and participatory conservation in developing countries: why are there inefficiencies?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201318, University of Turin.
    2. Smith, Martin D. & Sanchirico, James N. & Wilen, James E., 2009. "The economics of spatial-dynamic processes: Applications to renewable resources," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 104-121, January.
    3. Xavier Giné & Monica Martinez-Bravo & Marian Vidal-Fernández, 2016. "Are Labor Supply Decisions Consistent with Neoclassical Preferences? Evidence from Indian Boat Owners," Working Papers wp2016_1604, CEMFI, revised Jan 2017.
    4. Garth Holloway & Donald Lacombe & James P. LeSage, 2007. "Spatial Econometric Issues for Bio-Economic and Land-Use Modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 549-588, 09.
    5. Stephen Kasperski, 2015. "Optimal Multi-species Harvesting in Ecologically and Economically Interdependent Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(4), pages 517-557, August.
    6. Veyssiere, Luc Pierre & Weninger, Quinn, 2009. "Fishing Behavior Across Space and Time," Staff General Research Papers Archive 31848, Iowa State University, Department of Economics.
    7. Smith, Martin D., 2005. "State dependence and heterogeneity in fishing location choice," Journal of Environmental Economics and Management, Elsevier, vol. 50(2), pages 319-340, September.
    8. Hughes, Jonathan E. & Kaffine, Daniel, 2017. "When is increasing consumption of common property optimal? Sorting, congestion and entry in the commons," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 227-242.
    9. Smith, Martin D. & Wilen, James E., 2003. "Economic impacts of marine reserves: the importance of spatial behavior," Journal of Environmental Economics and Management, Elsevier, vol. 46(2), pages 183-206, September.
    10. Smith, Martin D. & Provencher, Bill, 2003. "Spatial Search In Commercial Fishing: A Discrete Choice Dynamic Programming Approach," 2003 Annual meeting, July 27-30, Montreal, Canada 21932, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Julio Peña Torres & Mabyr Valderrama, 2008. "Fishing Location decisions in the Chilean-Transzonal Jack Mackerel Fishery," ILADES-Georgetown University Working Papers inv217, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
    12. Jonathan E. Hughes & Daniel Kaffine, 2013. "When is Encouraging Consumption of Common Property Second Best? Sorting, Congestion and Entry in the Commons," Working Papers 2013-05, Colorado School of Mines, Division of Economics and Business.
    13. Junjie Zhang & Martin Smith, 2011. "Heterogeneous Response to Marine Reserve Formation: A Sorting Model approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(3), pages 311-325, July.
    14. Martin Smith & James Wilen, 2005. "Heterogeneous and Correlated Risk Preferences in Commercial Fishermen: The Perfect Storm Dilemma," Journal of Risk and Uncertainty, Springer, vol. 31(1), pages 53-71, July.
    15. Sanchirico, James N., 2005. "Additivity properties in metapopulation models: implications for the assessment of marine reserves," Journal of Environmental Economics and Management, Elsevier, vol. 49(1), pages 1-25, January.

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