Capacity and Technical Efficiency Estimation in Fisheries: Parametric and Non-Parametric Techniques

  • Sean Pascoe
  • Diana Tingley
Part of the International Series In Operations Research amp; Mana book series (ISOR, volume 99)

The measurement and analysis of efficiency and capacity utilisation in fisheries has seen increased attention over the last decade. Two key approaches are available to estimate these measures – stochastic production frontiers and data envelopment analysis (DEA). In this chapter, the methods are outlined, and examples of their use in fisheries are presented. Issues relating to the application of both techniques in fisheries are outlined.


Data Envelopment Analysis Technical Efficiency Data Envelopment Analysis Model Capacity Utilisation Production Frontier 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Aigner D., Lovell, C.A.K. and Schmidt, P., 1977. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6: 21-37.CrossRefGoogle Scholar
  2. Álvarez, A., 2003. Econometric Estimation of Fishing Production Functions when Stock is Unknown: A Monte Carlo Analysis, Efficiency Series Paper 09/2003, University of Oviedo, Spain.Google Scholar
  3. Battese, G.E. and Coelli, T.J., 1992. Frontier Production Function, technical efficiency and panel data: with application to Paddy Farmers in India. Journal of Productivity Analysis 3: 153-169.CrossRefGoogle Scholar
  4. Campbell, H.F. and Hand, A.J., 1998. Joint ventures and technology transfer: the Solomon Islands pole-and-line fishery. Journal of Development Economics 57: 421-442.CrossRefGoogle Scholar
  5. Coelli, T., Grifell-Tatje, E. and Perelman, S., 2002. Capacity utilisation and profitability: a decomposition of short-run profit efficiency. International Journal of Production Economics 79: 261-278.CrossRefGoogle Scholar
  6. Coelli, T.J., Rao, D.S.P. and Battese, G.E., 1998. An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers, USA.Google Scholar
  7. Coglan, L., Pascoe S. and Harris, R.I.D., 1999. Measuring efficiency in demersal trawlers using a frontier production function approach, in Proceedings of the Xth Annual Confe-rence of the European Association of Fisheries Economists, The Hague, Netherlands, 1-4 April 1998, Pavel Salz, ed. Agricultural Economics Research Institute (LEI), The Netherlands, 236-257.Google Scholar
  8. Dupont, D.P., Grafton, R.Q., Kirkley, J. and Squires, D., 2002. Capacity utilisation measures and excess capacity in multi-product privatized fisheries. Resource and Energy Economics 24 (3): 193-210.CrossRefGoogle Scholar
  9. FAO, 2000. Report of the Technical Consultation on the Measurement of Fishing Capacity. FAO Fisheries Report No. 615 (FIPP/R615(En)). FAO, Rome.Google Scholar
  10. Färe, R., Grosskopf, S. and Kokkelenberg, E.C., 1989. Measuring plant capacity, utilisation and technical change: a non-parametric approach. International Economic Review 30(3): 655-666.CrossRefGoogle Scholar
  11. Färe, R., Grosskopf, S. and Lovell, C.A.K.,1994. Production Frontiers. Cambridge University Press, Cambridge.Google Scholar
  12. Farrel, M.J., 1957. The measurement of productive efficiency. Journal of the Royal Statistical Society Series A, General 125: 252-267.CrossRefGoogle Scholar
  13. Felthoven, R.G., 2002. Effects of the American Fisheries Act on capacity, utilisation and technical efficiency. Marine Resource Economics 17: 181-206.Google Scholar
  14. Felthoven, R.G. and Morrison Paul, C.J., 2004. Multi-output, non-frontier primal measures of capacity and capacity utilisation. American Journal of Agricultural Economics 86(3): 619-633.CrossRefGoogle Scholar
  15. Fousekis, P., 2002. Distance vs. ray functions: an application to the inshore fishery of Greece. Marine Resource Economics 17: 251-268.Google Scholar
  16. Fox, K.J., Grafton, R.Q., Kirkley, J. and Squires, D., 2003. Property rights in a fishery: regulatory change and firm performance. Journal of Environmental Economics and Management 46(1): 156-177.CrossRefGoogle Scholar
  17. Grafton, Q., Squires, D. and Fox, K.J., 2000. Private property and economic efficiency: a study of a common pool resource. The Journal of Law and Economics 43: 671-714.CrossRefGoogle Scholar
  18. Greene, W.H., 1993. Frontier Production Functions, EC-93-20. Stern School of Business, New York University.Google Scholar
  19. Herrero, I. and Pascoe, S., 2003. Value versus volume in the catch of the Spanish South-Atlantic Trawl Fishery. Journal of Agricultural Economics 54(2): 325-341.CrossRefGoogle Scholar
  20. Holland, D.S. and Lee, S.T., 2002. Impacts of random noise and specification on estimates of capacity derived from data envelopment analysis. European Journal of Operational Research 137(1): 10-21.CrossRefGoogle Scholar
  21. Jensen, C.L., 2002. Applications of dual theory in fisheries: a survey. Marine Resource Economics 17(4): 309-334.Google Scholar
  22. Jondrow, J., Lovell, C.A.K., Materov, I.S. and Schmidt, P., 1982. On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics 19: 223-238.CrossRefGoogle Scholar
  23. Kirkley, J., Morrison-Paul, C.J. and Squires, D., 2004. Deterministic and stochastic capacity estimation for fishery capacity reduction. Marine Resource Economics 19: 271-294.Google Scholar
  24. Kirkley, J., Squires, D. and Strand, I.E., 1995. Assessing technical efficiency in commercial fisheries: The Mid-Atlantic Sea Scallop Fishery. American Journal of Agricultural Economics 77(4): 686-697.CrossRefGoogle Scholar
  25. Kirkley, J.E., Squires, D. and Strand, I.E., 1998. Characterizing managerial skill and technical efficiency in a fishery. Journal of Productivity Analysis 9: 145-160.CrossRefGoogle Scholar
  26. Kirkley, J.E., Squires, D., Alam, M.F. and Ishak, H.O., 2003. Excess capacity and asymmetric information in developing country fisheries: the Malaysian purse seine fishery. American Journal of Agricultural Economics 85(3): 647-662.CrossRefGoogle Scholar
  27. Kompas, T., Che, T.N. and Grafton, R.Q., 2004. Technical efficiency effects of input controls: evidence from Australia's Banana Prawn Fishery. Applied Economics 36: 1631-1641.CrossRefGoogle Scholar
  28. Kumbhakar, S.C. and Lovell, C.A.K.,2000. Stochastic Frontier Analysis. Cambridge University Press, Cambridge.Google Scholar
  29. Nelson, R.A., 1989. On the measurement of capacity utilisation. The Journal of Industrial Economics 37: 273-286.CrossRefGoogle Scholar
  30. Orea, L., Alvarez, A. and Morrison Paul, C.J., 2005. Modeling and measuring production processes for a multi-species fishery: alternative technical efficiency estimates for the Northern Spain Hake Fishery. Natural Resource Modeling 18(2): 183-213.Google Scholar
  31. Pascoe, S. and Coglan, L., 2002. Contribution of unmeasurable factors to the efficiency of fishing vessels: an analysis of technical efficiency of fishing vessels in the English Channel. American Journal of Agricultural Economics 84(3), 45-57.CrossRefGoogle Scholar
  32. Pascoe, S., Coglan, L. and Mardle, S., 2001a. Physical versus harvest based measures of capacity: the case of the UK vessel capacity unit system. ICES Journal of Marine Science 58 (6), 1243-1252.CrossRefGoogle Scholar
  33. Pascoe, S., Andersen, J.L. and de Wilde, J., 2001b. The impact of management regulation on the technical efficiency of vessels in the Dutch Beam Trawl Fishery. European Review of Agricultural Economics 28(June): 187-206.Google Scholar
  34. Pascoe, S. and Herrero, I., 2004. Estimation of a composite fish stock index using data envelopment analysis. Fisheries Research 69: 91-105.CrossRefGoogle Scholar
  35. Pascoe, S., Kirkley, J., Greboval, D. and Morrison-Paul, C., 2003. Measuring and Assessing Capacity in Fisheries. 2: Issues and Methods. FAO Fisheries Technical Paper 433/2, FAO, Rome, 129 pp.Google Scholar
  36. Pascoe, S. and Tingley, D., 2006. Economic capacity estimation in fisheries: A non-parametric ray approach, Resource and Energy Economics 28(2): 124-138.CrossRefGoogle Scholar
  37. Sharma, K.R. and Leung, P., 1999. Technical efficiency of the longline fishery in Hawaii: an application of a stochastic production frontier. Marine Resource Economics 13: 259-274.Google Scholar
  38. Squires, D., 1987. Public regulation and the structure of production in multiproduct industries and application to the New England otter trawl industry. Rand Journal of Economics 18 (2): 232-247.CrossRefGoogle Scholar
  39. Squires, D., Grafton, R.Q., Alam, M.F. and Omar, I.H., 2003. Technical efficiency in the Malaysian Gill Net Artisanal Fishery. Environment and Development Economics 8(3): 481-504.CrossRefGoogle Scholar
  40. Tingley, D. and Pascoe, S., 2003. Estimating the level of excess capacity in the Scottish Fishing Fleet. Report prepared for the Scottish Executive Environment and Rural Affairs Department, CEMARE Research Report 66, University of Portsmouth, UK.Google Scholar
  41. Tingley, D. and Pascoe, S., 2005a. Factors affecting capacity utilisation in fisheries, Journal of Agricultural Economics 56(2): 287-307.CrossRefGoogle Scholar
  42. Tingley, D. and Pascoe, S., 2005b, Eliminating excess capacity: implications for the Scottish fishing industry. Marine Resource Economics 20(4): 407-424.Google Scholar
  43. Tingley, D., Pascoe, S. and Coglan, L., 2005. Factors affecting technical efficiency in fisheries: stochastic production frontier versus data envelopment analysis approaches. Fisheries Research 73(3): 363-376.CrossRefGoogle Scholar
  44. Tingley, D., Pascoe, S. and Mardle, S., 2003. Estimating capacity utilisation in multi-purpose, multi-metier fisheries. Fisheries Research 63(1): 121-134.CrossRefGoogle Scholar
  45. Vestergaard, N., Squires, D. and Kirkley, J.E., 2003. Measuring capacity and capacity utilisation in fisheries: the case of the Danish gillnet fleet. Fisheries Research 60(2-3): 357-368.CrossRefGoogle Scholar
  46. Walden, J.B., Kirkley, J.E. and Kitts, A.W., 2003. A limited economic assessment of the Northeast groundfish fishery buyout programme. Land Economics 79(3): 426-439.CrossRefGoogle Scholar
  47. Weninger, Q. and Strand, I.E., 2003. An empirical analysis of production distortions in the mid-Atlantic Surf Clam and Ocean Quahog Fishery, Applied Economics 35(10): 1191-1197.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Sean Pascoe
    • 1
  • Diana Tingley
    • 1
  1. 1.CEMAREUniversity of PortsmouthUK

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