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Characterizing Managerial Skill and Technical Efficiency in a Fishery

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  • James Kirkley
  • Dale Squires
  • Ivar Strand

Abstract

Researchers have long recognized that entrepreneurial or managerial skill is a major determinant of productivity or reason why production among firms varies. Yet, except for a few studies, differences in productivity and output levels are usually attributed to plant configuration or scale. More important, there appears to have been few attempts to relate technical efficiency to managerial skill. Utilizing a stochastic production frontier, we examine the relationship between technical efficiency and characteristics of skill such as experience and education in a fishery. Although we can not determine threshold or essential levels of experience and education, substitution possibilities are found to exist between years of experience and education levels. Additional analysis of efficiency for two captains of the same background and experience reveals that additional characteristics need to be considered in the examination of skipper skill or the “good-captain” hypothesis. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • James Kirkley & Dale Squires & Ivar Strand, 1998. "Characterizing Managerial Skill and Technical Efficiency in a Fishery," Journal of Productivity Analysis, Springer, vol. 9(2), pages 145-160, March.
  • Handle: RePEc:kap:jproda:v:9:y:1998:i:2:p:145-160
    DOI: 10.1023/A:1018308617630
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Alicia Gómez–Tello & Rosella Nicolini, 2017. "Immigration and productivity: a Spanish tale," Journal of Productivity Analysis, Springer, vol. 47(2), pages 167-183, April.
    2. Giannis Karagiannis & Stelios Katranidis & Vangelis Tzouvelekas, 1999. "Measuring Productive Efficiency of Seabass and Seabream Farms in Greece," Working Papers 9911, University of Crete, Department of Economics.
    3. Carmen Fernández & Eduardo Ley & Mark F. J. Steel, 2002. "Bayesian modelling of catch in a north‐west Atlantic fishery," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(3), pages 257-280, July.
    4. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    5. Álvarez, Antonio, 2001. "Some Issues on the Estimation of Technical Efficiency in Fisheries," Efficiency Series Papers 2001/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. James Innes & Sean Pascoe, 2008. "Productivity Impacts of Veil Nets on UK Crangon Vessels," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 574-588, September.
    7. Álvarez, Antonio & Pérez, Levi & Schmidt, Peter, 2003. "The Relative Importance of Luck and Technical Efficiency in a Fishery," Efficiency Series Papers 2003/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. repec:spr:masfgc:v:22:y:2017:i:8:d:10.1007_s11027-016-9719-7 is not listed on IDEAS
    9. Young Bong Chang & Vijay Gurbaxani, 2013. "An Empirical Analysis of Technical Efficiency: The Role of IT Intensity and Competition," Information Systems Research, INFORMS, vol. 24(3), pages 561-578, September.
    10. Shaikh M.S.U. Eskander & Edward B. Barbier & Benjamin Gilbert, 2018. "Fishing and Nonfishing Income Decisions: The Role of Human Capital and Family Structure," Land Economics, University of Wisconsin Press, vol. 94(1), pages 114-136.
    11. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    12. Álvarez, Antonio, 2003. "Econometric Estimation of Fishing Production Functions when Stocks is Unknown: A Monte Carlo Analysis," Efficiency Series Papers 2003/09, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

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