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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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    1. Trond Bjørndal, 1989. "Production in a Schooling Fishery: The Case of the North Sea Herring Fishery," Land Economics, University of Wisconsin Press, vol. 65(1), pages 49-56.
    2. Noetzel, Bruno G. & Norton, Virgil J., 1969. "Cost and Earnings in the Boston Large Trawler Fleet," Working Papers 232936, United States Bureau of Commercial Fisheries, Division of Economic Research.
    3. Bjorndal, Trond, 1987. " Production Economics and Optimal Stock Size in a North Atlantic Fishery," Scandinavian Journal of Economics, Wiley Blackwell, vol. 89(2), pages 145-164.
    4. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    5. Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
    6. Campbell, H. F., 1991. "Estimating the elasticity of substitution between restricted and unrestricted inputs in a regulated fishery: A probit approach," Journal of Environmental Economics and Management, Elsevier, vol. 20(3), pages 262-274, May.
    7. Kim, H Youn, 1992. "The Translog Production Function and Variable Returns to Scale," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 546-552, August.
    8. Pollak, Robert A & Wales, Terence J, 1987. "Specification and Estimation of Nonseparable Two-Stage Technologies: The Leontief CES and the Cobb-Douglas CES," Journal of Political Economy, University of Chicago Press, vol. 95(2), pages 311-333, April.
    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. Squires, Dale, 1987. "Fishing effort: Its testing, specification, and internal structure in fisheries economics and management," Journal of Environmental Economics and Management, Elsevier, vol. 14(3), pages 268-282, September.
    11. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    12. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    13. Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
    14. 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.
    15. Lee, Lung-Fei, 1983. "A test for distributional assumptions for the stochastic frontier functions," Journal of Econometrics, Elsevier, vol. 22(3), pages 245-267, August.
    16. 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.
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