Agric. Econ. - Czech, 2010, 56(2):79-88 | DOI: 10.17221/38/2009-AGRICECON

Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms

Edward Ebo ONUMAH1, Bernhard BRÜMMER1, Gabriele HÖRSTGEN-SCHWARK2
1 Department of Agricultural Economics and Rural Development, Georg-August University, Göttingen, Germany
2 Department of Animal Sciences, Georg-August University, Göttingen, Germany

This paper examines the productivity of hired and family labour and determinants of technical inefficiency of fish farms in Ghana. A modified Cobb-Douglas stochastic frontier production function which accounts for zero usage of family and hired labour is employed on cross-sectional data of 150 farmers collected in 2007. The results reveal that family labour, hired labour, feed, seed, land, other costs and extension visit have a reasserting influence on fish farm production. Findings also show that family and hired labour used for fish farming production in Ghana may be equally productive. The combined effects of operational and farm specific factors (age, experience, land, gender, pond type and education) influence technical inefficiency although individual effects of some variables may not be significant. Mean technical efficiency is estimated to be 79 percent. Given the present state of technology and input level, the possibility of enhancing production can be achieved by reducing technical inefficiency by 21 percent through adoption of practices of the best fish farm.

Keywords: Ghana, fish farms, technical inefficiency, hired and family labour, stochastic frontier

Published: February 28, 2010  Show citation

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ONUMAH EE, BRÜMMER B, HÖRSTGEN-SCHWARK G. Productivity of the hired and family labour and determinants of technical inefficiency in Ghana's fish farms. Agric. Econ. - Czech. 2010;56(2):79-88. doi: 10.17221/38/2009-AGRICECON.
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References

  1. Afriat S.N. (1972): Efficiency estimation of the production function. International Economic Review, 13: 568 - 598 Go to original source...
  2. Aigner D.J., Lovell C.A.K., Schmidt P. (1977): Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6: 21 - 37. Go to original source...
  3. Assibey-Mensah G.O. (1998): Ghana's women-in-development program: problems, issues, and prescription. Journal of Black Studies, 29: 277 -295. Go to original source...
  4. Atta-Mills J., Alder J., Sumaila U.R. (2004): The decline of a regional fishing nation: the case of Ghana and West Africa. Natural Resources Forum, 28: 13 -21. Go to original source...
  5. Battese G.E. (1997): A note on the estimation of CobbDouglas production functions when some explanatory variables have zero values. Journal of Agricultural Economics, 48: 25 - 252 Go to original source...
  6. Battese G.E., Coelli T.J. (1995): A model for technical efficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20: 325 - 332 Go to original source...
  7. Battese G.E., Coelli T.J. (1988): Prediction of firm-level technical efficiencies with a generalised frontier production function and panel data. Journal of Econometrics, 38: 387 -399. Go to original source...
  8. Battese G.E., Corra G.S. (1977): Estimation of a production frontier model: with application to the pastoral zone of Eastern Australia. Australian Journal of Agricultural Economics, 21: 169 -179. Go to original source...
  9. Battese G.E., Broca S.S. (1997): Functional forms of stochastic frontier production functions and models for technical inefficiency effects: a comparative study for wheat farmers in Pakistan. Journal of Productivity Analysis, 8: 395-414. Go to original source...
  10. Battese G.E., Malik S.J., Gill M.A. (1996): An investigation of technical inefficiency of production of wheat farmers in four districts of Pakistan. Journal of Agricultural Economics, 47: 37-49. Go to original source...
  11. Birkhaeuser D., Feder G. (1991): The economic impact of agricultural extension: a review. Economic Development and Cultural Change, 39: 607-650. Go to original source...
  12. Brümmer B. (2003): Stochastic frontier analysis using SFAMB for Ox. Department of Agricultural Economics and Rural Development, Georg-August University, Göttingen.
  13. Chiang F.S., Sun C.H., Yu J.M. (2004): Technical efficiency analysis of milkfish (Chanos chanos) production in Taiwan - an application of stochastic frontier production function. Aquaculture, 23 : 99 - 116 Go to original source...
  14. Coelli T.J. (1995): Estimators and hypothesis tests for a stochastic frontier function: A Monte Carlo-analysis. Journal of Productivity Analysis, 6: 247 268. Go to original source...
  15. Coelli T.J., Battese G.E. (1996): Identification of factors which influence the technical inefficiency of Indian farmers. Australian Journal of Agricultural Economics, 4 : 1 3 - 128 Go to original source...
  16. Coelli T.J., Rao D.S.P., O'Donnell C.J., Battese G.E. (2005): An Introduction to Efficiency and Productivity Analysis. 2nd ed. Springer Publishers, U.S.A.
  17. Dawson P.J., Lingard J. (1989): Measuring farm efficiency over time on Philippine rice farms. Agricultural Economics, 4 : 168 -177. Go to original source...
  18. Dey M.M, Paraguas F.J., Srichantuk N., Xinhua Y., Bhatta R., Dung L.C. (2005): Technical efficiency of freshwater pond polyculture production in selected Asian countries: estimation and implication. Aquaculture Economics and Management, 9: 39 - 63. Go to original source...
  19. Dey M.M., Paraguas F.J., Bimbao G., Regaspi P.B. (2000): Technical efficiency of growout pond operations in the Philippines. Aquaculture Economics and Management, 4: 33 - 47. Go to original source...
  20. Esmaeili A. (2006): Technical efficiency analysis for the Iranian fishery in the Persian Gulf. Journal of Marine Science, 63: 1759 - 1764. Go to original source...
  21. Farrell M.J. (1957): The measurement of productive efficiency. Journal of Royal Statistical Society, 12 (3): 253- 281 Go to original source...
  22. García del Hoyo J.J., Espino D.C., Toribio R.J. (2004): Determination of technical efficiency of fisheries by stochastic frontier models: a case on the Gulf of-Cádiz (Spain). Journal of Marine Science, 61: 416 421. Go to original source...
  23. Greene W.H. (1980): Maximum likelihood estimation of econometric frontier function. Journal of Econometrics, 13: 27 -56. Go to original source...
  24. Herrero I. (2005): Different approaches to efficiency analysis: an application to the Spanish trawl fleet operating in Moroccan waters. European Journal of Operational Go to original source...
  25. Heshmati A., Mulugeta Y. (1996): Technical efficiency of Ugandan matoke farms. Applied Economics Letters, 3: 491 - 494 production function. Journal of Productivity Analysis, 5: 171 - 18 Go to original source...
  26. Iinuma M., Sharma K.R., Leung P. (1999): Technical efficiency of the carp pond culture in Peninsula Malaysia: an application of stochastic production frontier analysis with technical efficiency model. Aquaculture, 175: 199 - 213 Go to original source...
  27. Jacquet J., Alder J. (2006): Golden coast - tarnished sea. Sea Around Us Project Newsletter, Issue 34 - March/ April.
  28. Kalirajan K.P., Flinn J.C. (1983): The measurement of farm Economics, 11: 167 - 18
  29. Kareem R.O., Dipeolu A.O., Aromolaran A.B., Williams S.B. (2008): Economic efficiency in fish farming: hope for agro-allied industries in Niagara. Chinese Journal of Oceanology and Limnology, 26: 104 -115. Go to original source...
  30. Kirkley J.E., Squires D., Strand I.E. (1995): Assessing technisea scallop fishery. American Journal of Agricultural Economics, 77: 686 - 697 Go to original source...
  31. Kodde D.A., Palm F.C. (1986): Wald criteria for jointly testing equality and inequality restrictions. Econometrica, 54: 1243 - 1248 eralised production frontier approach for estimating determinants of inefficiency in US dairy farms. Journal of Business and Economic Statistics, 9: 279 -286. Go to original source...
  32. Leavy A. (1991): An assessment of the farm modernisation ogy, 14: 12 -28.
  33. Lundvall K., Battese G.E. (2000): Farm size, age and efficiency: evidence from Kenyan manufacturing firms. The
  34. MacPherson N.J., Wijkstrom U.N., Kapetsky J.M., Vincke M.M.J., Agyenim-Boateng C.E., Pedini M. (1990): A framework for aquaculture and culture-based fisheries Framework for Aquaculture in Ghana, TCP/GHA/0051, Microfiche No. 314891.
  35. Meeusen W., Van den Broeck J. (1977): Efficiency estimation from Cobb-Douglas production functions with composed errors. International Economic Review, 18: 435 -444. Go to original source...
  36. Ngwenya S.A., Battese G.E., Fleming E.M. (1997): The ficiency of production of wheat farmers in Eastern Free State, South Africa. Agrekon, 36: 283 - 301. Go to original source...
  37. Pillay T.V.R. (1990): Aquaculture principles and practices. Fishing News Book. University Press, Cambridge, UK.
  38. Reifschneider D., Stevenson R. (1991): Systematic departures from the frontier: a framework for the analysis of firm efficiency. International Economic Review, 32: 715 - 723 Go to original source...
  39. Richmond J. (1974): Estimating the efficiency-of production. International Economic Review, 15: 515 521. Go to original source...
  40. Sharma K.R., Leung P.S. (1998): Technical efficiency of carp production in Nepal: an application of stochastic frontier production function approach. Aquaculture Economics and Management, 2: 129 -140. Go to original source...
  41. Sharma K., Leung P. (1999): Technical efficiency of the longline fishery in Hawaii: an application of a stochastic production frontier. Marine Resource Economics, 13: 259 -274. Go to original source...
  42. Sharma K.R., Leung P.S. (2000): Technical efficiency of carp production in India: a stochastic frontier production function analysis. Aquaculture Research, 31: Stevenson R.E. (1980): Likelihood function for generalised stochastic frontier estimation. Journal of econometrics, 13: 57- 66 Go to original source...
  43. Tingley D., Pascoe S., Coglan L. (2005): Factors affecting technical efficiency in fisheries: stochastic production Fisheries Research, 73: 363 -376. Go to original source...

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