Economic versus physical input measures in the analysis of technical efficiency in fisheries
The measurement of technical efficiency requires the estimation of an appropriate production frontier. This is based on a set of inputs that are assumed to influence the level of output. Deviations from this frontier production function are separated into random variation and inefficiency. However, mis-specification of the production function through the use of inappropriate input measures may result in a bias in the measures of inefficiency. In fisheries, production is generally assumed to be a function of stock size, fishing time and the level of physical inputs employed. Defining the appropriate levels of physical inputs, however, is not straightforward, and several alternative measures are available. While economic measures of capital are more intuitively appealing, physical measures are generally readily available and hence less costly to collect. In this study, technical efficiency is measured for three fleet segments operating in the North Sea using three different gear types. The effects of using different measures of capital in the production frontier on the efficiency estimates are examined.
Volume (Year): 35 (2003)
Issue (Month): 15 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RAEC20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RAEC20|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- S Pascoe & JL Andersen & J-W de Wilde, 2001. "The impact of management regulation on the technical efficiency of vessels in the Dutch beam trawl fishery," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 28(2), pages 187-206, June.
- Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
- 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.
- Sean Pascoe & Catherine Robinson, 1998. "Input Controls, Input Substitution and Profit Maximisation in the English Channel Beam Trawl Fishery," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(1), pages 16-33.
- Pascoe, Sean & Coglan, Louisa, 2000. "Implications of differences in technical efficiency of fishing boats for capacity measurement and reduction," Marine Policy, Elsevier, vol. 24(4), pages 301-307, July.
- 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.
- 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.
- Subal C. Kumbhakar, 2001. "Estimation of Profit Functions When Profit Is Not Maximum," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 1-19.
- H. F. Campbell & R. K. Lindner, 1990. "The Production of Fishing Effort and the Economic Performance of Licence Limitation Programs," Land Economics, University of Wisconsin Press, vol. 66(1), pages 56-66.
- 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.
- Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
- 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.
- 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.
- Campbell, H. F. & Hand, A. J., 1998. "Joint ventures and technology transfer: the Solomon Islands pole-and-line fishery," Journal of Development Economics, Elsevier, vol. 57(2), pages 421-442.