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An expected profit model for monetizing fishing location choices

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  • C. Haynie, Alan
  • F. Layton, David

Abstract

We develop and analyze the properties of a new type of discrete choice model which jointly estimates the expected value of catch and location choice. This model implicitly monetizes location choices and can be used to predict costs and effort redistribution of creating marine protected areas or of implementing other policy changes that either increase travel costs or alter expected revenue. We illustrate our approach by considering the closing of the Steller sea lion conservation area in the United States Bering Sea to pollock fishing.

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  • C. Haynie, Alan & F. Layton, David, 2010. "An expected profit model for monetizing fishing location choices," Journal of Environmental Economics and Management, Elsevier, vol. 59(2), pages 165-176, March.
  • Handle: RePEc:eee:jeeman:v:59:y:2010:i:2:p:165-176
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    Cited by:

    1. Carrella, Ernesto & Saul, Steven & Marshall, Kristin & Burgess, Matthew G. & Cabral, Reniel B. & Bailey, Richard M. & Dorsett, Chris & Drexler, Michael & Madsen, Jens Koed & Merkl, Andreas, 2020. "Simple Adaptive Rules Describe Fishing Behaviour Better than Perfect Rationality in the US West Coast Groundfish Fishery," Ecological Economics, Elsevier, vol. 169(C).
    2. Joshua K. Abbott & Alan C. Haynie & Matthew N. Reimer, 2015. "Hidden Flexibility: Institutions, Incentives, and the Margins of Selectivity in Fishing," Land Economics, University of Wisconsin Press, vol. 91(1), pages 169-195.
    3. Veyssiere, Luc Pierre & Weninger, Quinn, 2009. "Fishing behavior across space and time," ISU General Staff Papers 200908100700001156, Iowa State University, Department of Economics.
    4. 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.
    5. Martha Swamila & Damas Philip & Adam Meshack Akyoo & Stefan Sieber & Mateete Bekunda & Anthony Anderson Kimaro, 2020. "Gliricidia Agroforestry Technology Adoption Potential in Selected Dryland Areas of Dodoma Region, Tanzania," Agriculture, MDPI, Open Access Journal, vol. 10(7), pages 1-17, July.
    6. Reimer, Matthew N. & Haynie, Alan C., 2018. "Mechanisms matter for evaluating the economic impacts of marine reserves," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 427-446.
    7. 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.
    8. Kailin Kroetz & James N. Sanchirico & Daniel K. Lew, 2015. "Efficiency Costs of Social Objectives in Tradable Permit Programs," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(3), pages 339-366.
    9. Jordan T Watson & Alan C Haynie, 2016. "Using Vessel Monitoring System Data to Identify and Characterize Trips Made by Fishing Vessels in the United States North Pacific," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-20, October.
    10. 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.
    11. Abbott, Joshua K. & Wilen, James E., 2011. "Dissecting the tragedy: A spatial model of behavior in the commons," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 386-401.
    12. Hynes, Stephen & Gerritsen, Hans & Breen, Benjamin & Johnson, Mark, 2015. "Fishing site choice modelling using Vessel Monitoring System data," Working Papers 262592, National University of Ireland, Galway, Socio-Economic Marine Research Unit.

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