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

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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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  • Jaume Puig & Josep M. Argilés, 2000. "Measuring and explaining farm inefficiency in a panel data set of mixed farms," Economics Working Papers 503, Department of Economics and Business, Universitat Pompeu Fabra.
    • Handle: RePEc:upf:upfgen:503
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    Cited by:

    1. 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).
    2. 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.
    3. Bouali Guesmi & Teresa Serra, 2015. "Can We Improve Farm Performance? The Determinants of Farm Technical and Environmental Efficiency," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(4), pages 692-717.
    4. Andreu, Monica Lopez & Grunewald, Orlen C., 2006. "Sources of Inefficiency in Kansas Farms," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35283, Southern Agricultural Economics Association.
    5. Bouali Guesmi & Teresa Serra & Allen Featherstone, 2015. "Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(6), pages 703-713, November.
    6. 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).

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    More about this item

    Keywords

    Technical efficiency; stochastic frontier approach; agricultural economics; frontier productions; farm efficiency;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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