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Estimating Targeting Ability in Multi-Species Fisheries: A Primal Multi-Output Distance Function Approach

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  • Sean Pascoe
  • Phoebe Koundouri
  • Trond Bjørndal

Abstract

In this paper, we estimate a multi-output distance function for two North Sea fleet segments and derive output elasticities of substitution to examine the potential for changing catch composition though targeting fishing activity. We find that this ability differs between fleet segments, and also within fleet segments due to differences in vessel characteristics, with larger vessels appearing to be more able to influence their catch composition than smaller vessels. We argue that failure to quantify and integrate these technical interactions in the construction of management instruments for fisheries regulation may result in increased discarding and/or illegal fishing.

Suggested Citation

  • Sean Pascoe & Phoebe Koundouri & Trond Bjørndal, 2007. "Estimating Targeting Ability in Multi-Species Fisheries: A Primal Multi-Output Distance Function Approach," Land Economics, University of Wisconsin Press, vol. 83(3), pages 382-397.
  • Handle: RePEc:uwp:landec:v:83:y:2007:i:3:p:382-397
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    References listed on IDEAS

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    7. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    8. Grosskopf, S. & Margaritis, D. & Valdmanis, V., 1995. "Estimating output substitutability of hospital services: A distance function approach," European Journal of Operational Research, Elsevier, vol. 80(3), pages 575-587, February.
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    10. Ines Herrero & Sean Pascoe, 2003. "Value versus Volume in the Catch of the Spanish South‐Atlantic Trawl Fishery," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(2), pages 325-341, July.
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    Cited by:

    1. 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.
    2. Barbara Hutniczak, 2014. "Increasing Pressure on Unregulated Species Due to Changes in Individual Vessel Quotas: An Empirical Application to Trawler Fishing in the Baltic Sea," Marine Resource Economics, University of Chicago Press, vol. 29(3), pages 201-217.
    3. Hutniczak, Barbara, 2015. "Modeling heterogeneous fleet in an ecosystem based management context," Ecological Economics, Elsevier, vol. 120(C), pages 203-214.
    4. Trond Bjorndal & Chandra Bahadur Adhikari, 2011. "Analyses of Technical Efficiency Using SDF and DEA Models: Evidence from Nepalese Agriculture," Post-Print hal-00708538, HAL.
    5. Staffan Waldo & Anton Paulrud, 2017. "Reducing Greenhouse Gas Emissions in Fisheries: The Case of Multiple Regulatory Instruments in Sweden," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 275-295, October.
    6. Jordan, Brett, 2018. "Economics literature on joint production of minerals: A survey," Resources Policy, Elsevier, vol. 55(C), pages 20-28.

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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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