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Technology Gap, Efficiency, and a Stochastic Metafrontier Function

Author

Listed:
  • George E. Battese

    (University of New England, Australia)

  • D. S. Prasada Rao

    (University of New England, Australia)

Abstract

This paper considers a stochastic metafrontier function to investigate the technical efficiencies of firms in different groups that may not have the same technology. A decomposition of output is presented involving the technology gap and technical efficiency ratios for firms in a group relative to the best practice in the industry.

Suggested Citation

  • George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
  • Handle: RePEc:ijb:journl:v:1:y:2002:i:2:p:87-93
    as

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    References listed on IDEAS

    as
    1. 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.
    2. Lau, Lawrence J. & Yotopoulos, Pan A., 1989. "The meta-production function approach to technological change in world agriculture," Journal of Development Economics, Elsevier, vol. 31(2), pages 241-269, October.
    3. 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 325-332.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    efficiencies; stochastic metafrontier; technology gap;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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