IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02975547.html
   My bibliography  Save this paper

Accounting for Fleet Heterogeneity in Estimating the Impacts of Large-Scale Fishery Closures

Author

Listed:
  • Maxime Dépalle

    (UC Davis - University of California [Davis] - UC - University of California)

  • Olivier Thébaud

    (AMURE - Aménagement des Usages des Ressources et des Espaces marins et littoraux - Centre de droit et d'économie de la mer - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - UBO - Université de Brest - IUEM - Institut Universitaire Européen de la Mer - IRD - Institut de Recherche pour le Développement - INSU - CNRS - Institut national des sciences de l'Univers - UBO - Université de Brest - CNRS - Centre National de la Recherche Scientifique - CNRS - Centre National de la Recherche Scientifique)

  • James Sanchirico

    (UC Davis - University of California [Davis] - UC - University of California)

Abstract

To date, the empirical literature on spatial closures has focused on specific fleets and/or areas, and relatively less attention has been paid to the evaluation of responses to large-scale spatial restrictions on ocean fishing. Where such restrictions occur, a broad range of fleets may be affected, with diverse response mechanisms determining the redistribution of fishing effort and the associated welfare impacts. We propose a methodological approach to address such situations. Using hypothetical scenarios regarding the closure of the UK exclusive economic zone (EEZ) to a diverse subset of French vessels as an example, we develop a spatial discrete choice model that incorporates the possibility to adjust the resolution of choice sets at the fleet level to account for heterogeneous behavioral patterns across fleets. We show how neglecting fleet diversity in the choice of the spatial resolution of analysis may bias the results of an impact study on large spatial closures.

Suggested Citation

  • Maxime Dépalle & Olivier Thébaud & James Sanchirico, 2020. "Accounting for Fleet Heterogeneity in Estimating the Impacts of Large-Scale Fishery Closures," Post-Print hal-02975547, HAL.
  • Handle: RePEc:hal:journl:hal-02975547
    DOI: 10.1086/710514
    Note: View the original document on HAL open archive server: https://hal.univ-brest.fr/hal-02975547v1
    as

    Download full text from publisher

    File URL: https://hal.univ-brest.fr/hal-02975547v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.1086/710514?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. George R. Parsons & A. Brett Hauber, 1998. "Spatial Boundaries and Choice Set Definition in a Random Utility Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 74(1), pages 32-48.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dépalle, Maxime & Sanchirico, James N. & Thébaud, Olivier & O’Farrell, Shay & Haynie, Alan C. & Perruso, Larry, 2021. "Scale-dependency in discrete choice models: A fishery application," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    2. Hugo Salgado & Ariel Soto, 2016. "Estimating Biomass Migration Parameters by Analyzing the Spatial Behavior of the Fishing Fleet," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 31(1), pages 37-58, April.
    3. 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).
    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. Martin D. Smith & Larry B. Crowder, 2011. "Valuing Ecosystem Services with Fishery Rents: A Lumped-Parameter Approach to Hypoxia in the Neuse River Estuary," Sustainability, MDPI, vol. 3(11), pages 1-39, November.
    6. Hicks, Robert L. & Schnier, Kurt E., 2006. "A Spatial Model of Dolphin Avoidance in the Eastern Tropical Pacific Ocean," 2006 Annual meeting, July 23-26, Long Beach, CA 21290, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    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. 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).
    9. Dundas, Steven J. & von Haefen, Roger H., 2019. "The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate," CEnREP Working Papers 283949, North Carolina State University, Department of Agricultural and Resource Economics.
    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. Klaus Glenk & Robert J. Johnston & Jürgen Meyerhoff & Julian Sagebiel, 2020. "Spatial Dimensions of Stated Preference Valuation in Environmental and Resource Economics: Methods, Trends and Challenges," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 215-242, February.
    12. Larson, Douglas & Shaikh, Sabina, 1999. "Empirical Specification Requirements for Two-Constraint Models of Recreation Demand," Western Region Archives 321713, Western Region - Western Extension Directors Association (WEDA).
    13. Pamela Katic, 2015. "Groundwater Spatial Dynamics and Endogenous Well Location," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(1), pages 181-196, January.
    14. Sterner, Thomas, 2007. "Unobserved diversity, depletion and irreversibility The importance of subpopulations for management of cod stocks," Ecological Economics, Elsevier, vol. 61(2-3), pages 566-574, March.
    15. Christopher Costello & Daniel T. Kaffine, 2010. "Marine protected areas in spatial property-rights fisheries ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(3), pages 321-341, July.
    16. Costello, Christopher & Molina, Renato, 2021. "Transboundary marine protected areas," Resource and Energy Economics, Elsevier, vol. 65(C).
    17. D. Matthew Massey & George R. Parsons, 2007. "State Dependence and Long Term Site Capital in a Random Utility Model of Recreation Demand," NCEE Working Paper Series 200711, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Dec 2007.
    18. Hawkins, John & Beard, Rodney & McDonald, Stuart, 2006. "A multi-agent simulation model of fishery fleet dynamics for the Queensland coral reef line fishery," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 139788, Australian Agricultural and Resource Economics Society.
    19. Catherine J. Morrison Paul & Ronald G. Felthoven & Marcelo de O. Torres, 2010. "Productive performance in fisheries: modeling, measurement, and management," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(3), pages 343-360, July.
    20. Low, Bobbi & Costanza, Robert & Ostrom, Elinor & Wilson, James & Simon, Carl P., 1999. "Human-ecosystem interactions: a dynamic integrated model," Ecological Economics, Elsevier, vol. 31(2), pages 227-242, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-02975547. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.