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Technical efficiency of shrimp fishery in South Carolina, USA

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  • Ferdinand D. Vinuya

Abstract

The increased inflow of imported shrimp into the US has lowered shrimp prices in the marketplace and with it, ex-vessel prices received by shrimp fishermen. Proposed remedies are aimed at strategies to increase the prices received by domestic producers. This study looks into issues related to the production side by estimating the technical efficiency of South Carolina shrimp boat operators. Estimates using a stochastic production frontier method show that average efficiency is 46%. This finding has strong implications on the long-term survival and viability of the local shrimp industry as it continues to face competition from low-priced imports.

Suggested Citation

  • Ferdinand D. Vinuya, 2010. "Technical efficiency of shrimp fishery in South Carolina, USA," Applied Economics Letters, Taylor & Francis Journals, vol. 17(1), pages 1-5, January.
    • Handle: RePEc:taf:apeclt:v:17:y:2010:i:1:p:1-5
    DOI: 10.1080/13504850701719744
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    References listed on IDEAS

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    1. Henry, Mark S. & Barkley, David L. & Vo, Queen, 2001. "Possible Effects Of The Shrimp-Baiting Fishery On The Economic Performance Of The South Carolina Shrimp Trawling Industry And Related Economic Impacts," Research Reports 18800, Clemson University, Department of Agricultural and Applied Economics.
    2. Henry, Mark S. & Barkley, David L. & Vinuya, Ferdinand D. & Gantt, Brian P., 2005. "Options for Processing Shrimp Landed in South Carolina," REDRL Research Reports 113805, Clemson University, Regional Economic Development Research Laboratory (REDRL).
    3. Icabalceta, Jorge L. & Lavergne, David R., 2003. "Assessing The Louisiana Shrimp Fishing Fleet Technical Efficiency Using A Bayesian Stochastic Cost Frontier Model," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35011, Southern Agricultural Economics Association.
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    Cited by:

    1. Lei Chen & Rangan Gupta & Zinnia Mukherjee & Peter Wanke, 2016. "Technical efficiency of Connecticut Long Island Sound lobster fishery: a nonparametric approach to aggregate frontier analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1533-1548, April.
    2. Rangan Gupta & Zinnia Mukherjee & Mike G. Tsionas & Peter Wanke, 2016. "Productive Efficiency of Connecticut Long Island Lobster Fishery Using a Finite Mixture Model," Working Papers 201614, University of Pretoria, Department of Economics.
    3. Chris J. Kennedy & Edward B. Barbier, 2013. "Renewable resource management with environmental prediction: the importance of structural specification," Canadian Journal of Economics, Canadian Economics Association, vol. 46(3), pages 1110-1122, August.

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