Technical efficiency analysis of hybrid maize production using translog model case study in District Chiniot, Punjab (Pakistan)

Abstract

In Pakistan, maize accounts for 5.93 percent of the total cropped area and 4.82 percent of the value of agricultural production. Given high cost of the production, there is a belief that it is difficult to boost profitability without enhancing use of pricey inputs. Maximum likelihood estimates of stochastic frontier model were estimated and determinants of technical efficiency were calculated. Using Cobb Douglas model estimated maximum likelihood coefficients for all inputs were significant and showed signs according to expectations. The evaluation with the different models gives different technical efficiencies, which shows that technical efficiency estimations are extremely sensitive to the functional form specified.

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Naqvi, S. and Ashfaq, M. (2013) Technical efficiency analysis of hybrid maize production using translog model case study in District Chiniot, Punjab (Pakistan). Agricultural Sciences, 4, 536-540. doi: 10.4236/as.2013.410072.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Tahir, M., Tanveer, A., Ali, A., Abbas, M. and Wasaya, A. (2008) Comparative yield performance of different maize (Zea mays L.) hybrids under local conditions of Faisalabad-Pakistan. Pakistan Journal of Life and Social Sciences, 6, 118-120.
[2] Government of Pakistan (GOP) (2012) Pakistan Economic Survey 2011-12. Economic Advisor’s Wing, Finance Division, Islamabad.
[3] Parikh, A. and Shah, M.K. (1994) Measurement of technical efficiency in the north-west frontier provinces of Pakistan. Journal on Agricultural Economics, 45, 132-138. http://dx.doi.org/10.1111/j.1477-9552.1994.tb00384.x
[4] Farrell, M. (1957) The measurement of productivity efficiency. Journal of the Royal Statistical Society. Series A (General), 120, 253-290. http://dx.doi.org/10.2307/2343100
[5] Coelli, T.J. (1996) A guide to frontier version 4.1 a computer program for stochastic frontier production and cost function estimation. CEPA Working Papers, 96/07, University of New England, New England, 135.
[6] Battese, G.E. and Coelli, T.J. (1995) A model for technical efficiency effects in astochastic frontier production function for panel data. Empirical Economics, 20, 325-332. http://dx.doi.org/10.1007/BF01205442
[7] Greene, W.H. (2003) Econometric analysis. 5th Edition, Prentice Hall, Upper Saddle River.
[8] Hassan, S. (2004) An analysis of technical efficiency of wheat farmers in the mixed farming system of the Punjab Pakistan. Ph.D. Thesis, Department of Environmental and Resource Economics (Farm Management), University of Agriculture, Fasialabad.
[9] Dey, M.M., Paraguas, F.J., Kambewa, P. and Pemsl, D.E. (2010) The impact of integrated aquaculture-agriculture on small-scale farms in Southern Malawi. Agricultural Economics, 41, 67-79. http://dx.doi.org/10.1111/j.1574-0862.2009.00426.x
[10] Basnayake, B.M.J.K. and Gunaratne, L.H.P. (2002) Estimation of technical efficiency and it’s determinants in the tea small holding sector in the mid country wet zone of Sri Lanka. Sri Lankan Journal of Agricultural Economics, 4, 137-150.
[11] Ngwenya, S.A., Battese, G.E. and Fleming, E.M. (1997) The relationship between farm size and the technical inefficiency of production of wheat farmers in the Eastern Free State. Agrekon, 36, 283-301. http://dx.doi.org/10.1080/03031853.1997.9523466

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