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Evolution of the Stock of Red Seabream in the Strait of Gibraltar: DEA-Malmquist Index and Stochastic Frontier Analysis

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  • Espino, David Castilla
  • Fried, Harold O.
  • Hoyo, Juan José Garcia del
  • Tauer, Loren W.

Abstract

Red Seabream is a valuable fish resource for ports in Southern Spain. It is critical that this fishery be well managed to ensure a sustainable and viable commercial fishery into the future, which recent fishing regulations should accomplish. Fish stocks appear to be increasing. We use Data Envelopment Analysis and Stochastic Frontier Analysis techniques to estimate the impact of recovering fish stocks on fishing output. Since imposed fishing regulations to protect the fishery essentially have halted technological progress in the fleet, we alter the standard Malmquist decomposition of efficiency and technological change instead into efficiency and the impact of fishing stock change. We find that over the 3 year period of 1999 through 2001, increase in fishing stocks lead to a 2.05 annual percent increase in fishing output by DEA computations, and 2.70 annual percent increase by SFA computations

Suggested Citation

  • Espino, David Castilla & Fried, Harold O. & Hoyo, Juan José Garcia del & Tauer, Loren W., 2005. "Evolution of the Stock of Red Seabream in the Strait of Gibraltar: DEA-Malmquist Index and Stochastic Frontier Analysis," Working Papers 127083, Cornell University, Department of Applied Economics and Management.
    • Handle: RePEc:ags:cudawp:127083
    DOI: 10.22004/ag.econ.127083
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    References listed on IDEAS

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    1. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    2. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    3. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
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