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Accounting for fishing vessel time allocation at sea when measuring efficiency

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  • Gillespie, Patrick R.
  • Breen, Ben

Abstract

Rising fuel and input costs are having a significant impact on the profitability of the fishing sector and increasing the need for vessels to improve operational efficiency. In particular, smaller vessels that do not have the economies of scale must maximize input-output efficiency to remain viable. There is also the consideration that improved fuel efficiency in fishing vessels will reduce the carbon footprint of the sector. Measuring vessel and fleet efficiency is important for these reasons, but it is also important to correctly measure efficiency to determine how best to manage a fleet and determine how ecosystem, regulatory and market changes will impact fleet viability and operability. This paper uses stochastic frontier analysis (SFA) to assess the efficiency of fishing vessels in the Irish demersal otter trawl nephrops fishery. Clear evidence of efficiency-heterogeneity across vessels in the fishery is reported, even when controlling for vessel-specific characteristics, such as vessel length, age and engine power. The drivers of efficiency are also investigated and we find that the use of vehicle monitoring systems (VMS) data allows for more spatially and temporally detailed information to improve fleet efficiency analysis.

Suggested Citation

  • Gillespie, Patrick R. & Breen, Ben, 2016. "Accounting for fishing vessel time allocation at sea when measuring efficiency," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236356, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc16:236356
    DOI: 10.22004/ag.econ.236356
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    1. Maurice Kilbridge & Leon Wester, 1966. "An Economic Model for the Division of Labor," Management Science, INFORMS, vol. 12(6), pages 255-269, February.
    2. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    3. Håkan Eggert & Ragnar Tveterås, 2013. "Productivity development in Icelandic, Norwegian and Swedish fisheries," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 709-720, February.
    4. H. Scott Gordon, 1954. "The Economic Theory of a Common-Property Resource: The Fishery," Palgrave Macmillan Books, in: Chennat Gopalakrishnan (ed.), Classic Papers in Natural Resource Economics, chapter 9, pages 178-203, Palgrave Macmillan.
    5. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    6. 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.
    7. Luis Orea & Alan Wall, 2012. "Productivity and Producer Welfare in the Presence of Production Risk," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(1), pages 102-118, February.
    8. John B. Walden & James E. Kirkley & Rolf Färe & Philip Logan, 2012. "Productivity Change under an Individual Transferable Quota Management System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 913-928.
    9. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    10. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    11. H. Scott Gordon, 1954. "The Economic Theory of a Common-Property Resource: The Fishery," Journal of Political Economy, University of Chicago Press, vol. 62(2), pages 124-124.
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    Agricultural and Food Policy; Environmental Economics and Policy;

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