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Measuring and explaining farm inefficiency in a panel data set of mixed farms

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  • Jaume Puig

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  • Josep M. Argilés
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    Abstract

    This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-stage approach. The model uses gross value added as the output aggregate measure. Total employment, fixed capital, current assets, specific costs and overhead costs are introduced into the model as inputs. Stochastic frontier estimates are compared with those obtained using a linear programming method using a two-stage approach. The specification of the translog stochastic frontier model appears as an appropriate representation of the data, technical change was rejected and the technical inefficiency effects were statistically significant. The mean technical efficiency in the period analyzed was estimated to be 64.0%. Farm inefficiency levels were found significantly at 5% level and positively correlated with the number of economic size units.

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    Bibliographic Info

    Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 503.

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    Date of creation: Jul 2000
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    Handle: RePEc:upf:upfgen:503

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    Web page: http://www.econ.upf.edu/

    Related research

    Keywords: Technical efficiency; stochastic frontier approach; agricultural economics; frontier productions; farm efficiency;

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    1. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(03), December.
    2. Ferrantino, Michael J. & Ferrier, Gary D., 1995. "The technical efficiency of vacuum-pan sugar industry of India: An application of a stochastic frontier production function using panel data," European Journal of Operational Research, Elsevier, vol. 80(3), pages 639-653, February.
    3. Allen, Douglas W & Lueck, Dean, 1998. "The Nature of the Farm," Journal of Law and Economics, University of Chicago Press, vol. 41(2), pages 343-86, October.
    4. 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 325-32.
    5. George E. Battese & Sohail J. Malik & Manzoor A. Gill, 1996. "An Investigation Of Technical Inefficiencies Of Production Of Wheat Farmers In Four Districts Of Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 47(1-4), pages 37-49.
    6. 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.
    7. Coelli, Tim J. & Battese, George E., 1994. "Identification of Factors which Influence the Technical Inefficiency of Indian Farmers," 1994 Conference (38th), February 8-10, 1994, Wellington, New Zealand 148110, Australian Agricultural and Resource Economics Society.
    8. Shujie Yao & Zinan Liu, 1998. "Determinants of Grain Production and Technical Efficiency in China," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(2), pages 171-184.
    9. Kumbhakar, Subal C. & Heshmati, Almas & Hjalmarsson, Lennart, 1997. "Temporal patterns of technical efficiency: Results from competing models," International Journal of Industrial Organization, Elsevier, vol. 15(5), pages 597-616, August.
    10. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
    11. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    12. Schmitt, Gunther, 1991. "Why Is the Agriculture of Advanced Western Economies Still Organized by Family Farms? Will This Continue to Be So in the Future?," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 18(3-4), pages 443-58.
    13. Foster, William E. & Rausser, Gordon C., 1990. "Farmer behavior under risk of failure," CUDARE Working Paper Series 488R, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
    14. 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), April.
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    Cited by:
    1. Yanyan Liu & Robert Myers, 2009. "Model selection in stochastic frontier analysis with an application to maize production in Kenya," Journal of Productivity Analysis, Springer, vol. 31(1), pages 33-46, February.
    2. Guesmi, Bouali & Serra, Teresa & Featherstone, Allen M., 2013. "Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 147488, Agricultural and Applied Economics Association.
    3. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    4. Liu, Yanyan, 2006. "Model Selection in Stochastic Frontier Analysis: Maize Production in Kenya," 2006 Annual meeting, July 23-26, Long Beach, CA 21281, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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