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

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  • Martin D. Smith

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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  • Martin D. Smith, 2002. "Two Econometric Approaches for Predicting the Spatial Behavior of Renewable Resource Harvesters," Land Economics, University of Wisconsin Press, vol. 78(4), pages 522-538.
    • Handle: RePEc:uwp:landec:v:78:y:2002:i:4:p:522-538
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    References listed on IDEAS

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    7. 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.
    8. 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.
    9. 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.
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    Citations

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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. Giné, Xavier & Martinez-Bravo, Monica & Vidal-Fernández, Marian, 2017. "Are labor supply decisions consistent with neoclassical preferences? Evidence from Indian boat owners," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 331-347.
    3. 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, September.
    4. 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.
    5. Veyssiere, Luc Pierre & Weninger, Quinn, 2009. "Fishing behavior across space and time," ISU General Staff Papers 200908100700001156, Iowa State University, Department of Economics.
    6. Hicks, Robert L. & Holland, Daniel S. & Kuriyama, Peter T. & Schnier, Kurt E., 2020. "Choice sets for spatial discrete choice models in data rich environments," Resource and Energy Economics, Elsevier, vol. 60(C).
    7. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    8. 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.
    9. Hutniczak, Barbara & Münch, Angela, 2018. "Fishermen's location choice under spatio-temporal update of expectations," Journal of choice modelling, Elsevier, vol. 28(C), pages 124-136.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. Julio Peña Torres & Mabyr Valderrama, 2008. "Fishing Location decisions in the Chilean-Transzonal Jack Mackerel Fishery," ILADES-UAH Working Papers inv217, Universidad Alberto Hurtado/School of Economics and Business.
    16. Aldashev, Gani & Vallino, Elena, 2019. "The dilemma of NGOs and participatory conservation," World Development, Elsevier, vol. 123(C), pages 1-1.
    17. 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.
    18. 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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    More about this item

    JEL classification:

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

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