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A Study on Technical Efficiency of Wheat Cultivation in Haryana

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  • Singh, Surender

Abstract

The farm-specific technical efficiency of wheat cultivation in Haryana at the aggregate and disaggregate levels has been studied using stochastic frontier approach. A high degree of technical inefficiency in wheat farming has been reported, which is due to factors under farm’s control. It has been argued that wheat-cultivating farms in the state can increase their production by 27 per cent without increasing the quantity of inputs, i.e. just by way of realizing efficiency. The estimates of technical efficiency have indicated that small-size farms are more efficient than medium- and large-size farms, negating thereby the myth that large-size farming is more profit/business-oriented.

Suggested Citation

  • Singh, Surender, 2007. "A Study on Technical Efficiency of Wheat Cultivation in Haryana," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 20(1).
  • Handle: RePEc:ags:aerrae:47430
    DOI: 10.22004/ag.econ.47430
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    References listed on IDEAS

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    1. Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), pages 1-14, April.
    2. Taylor, Timothy G. & Scott Shonkwiler, J., 1986. "Alternative stochastic specifications of the frontier production function in the analysis of agricultural credit programs and technical efficiency," Journal of Development Economics, Elsevier, vol. 21(1), pages 149-160, April.
    3. Lee, Lung-Fei & Tyler, William G., 1978. "The stochastic frontier production function and average efficiency : An empirical analysis," Journal of Econometrics, Elsevier, vol. 7(3), pages 385-389, April.
    4. 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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    Cited by:

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    2. Coventry, D.R. & Poswal, R.S. & Yadav, Ashok & Riar, Amritbir Singh & Zhou, Yi & Kumar, Anuj & Chand, Ramesh & Chhokar, R.S. & Sharma, R.K. & Yadav, V.K. & Gupta, R.K. & Mehta, Anil & Cummins, J.A., 2015. "A comparison of farming practices and performance for wheat production in Haryana, India," Agricultural Systems, Elsevier, vol. 137(C), pages 139-153.
    3. Pandit, Arun & Pandey, N.K. & Rana, Rajesh K. & Lal, Barsati, 2009. "An Empirical Study of Gains from Potato Contract Farming," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 64(3), pages 1-12.
    4. Pahlavan, Reza & Omid, Mahmoud & Akram, Asadollah, 2012. "Energy input–output analysis and application of artificial neural networks for predicting greenhouse basil production," Energy, Elsevier, vol. 37(1), pages 171-176.

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