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Separating Technical Change from Time-Varying Technical Inefficiency in the Absence of Distributional Assumptions

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  • G. Karagiannis
  • P. Midmore
  • V. Tzouvelekas

Abstract

This paper proposes an alternative model for separating technical change from time-varying technical inefficiency. The proposed formulation uses the general index, developed by Baltagi and Griffin (1988), to model technical change in the production frontier function and a quadratic function of time, as in Cornwell, Schmidt and Sickles (1990), to capture the temporal pattern of technical inefficiency. In such a setting, all parameters associated with the rate of technical change and the temporal pattern of technical inefficiency are identified separately. Moreover, the proposed formulation is independent of any distributional assumption concerning the one-sided error term associated with technical inefficiency, and it can be estimated in a single stage with non-linear FGLS. Empirical results based on a translog production frontier, and estimates of technical inefficiency and technical change are presented for the UK dairy sector over the period 1982–1992. Copyright Kluwer Academic Publishers 2002

Suggested Citation

  • G. Karagiannis & P. Midmore & V. Tzouvelekas, 2002. "Separating Technical Change from Time-Varying Technical Inefficiency in the Absence of Distributional Assumptions," Journal of Productivity Analysis, Springer, vol. 18(1), pages 23-38, July.
    • Handle: RePEc:kap:jproda:v:18:y:2002:i:1:p:23-38
    DOI: 10.1023/A:1015700309362
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    Cited by:

    1. Vangelis Tzouvelekas & Dimitra Vouvaki & Anastasios Xepapadeas, 2006. "Total Factor Productivity Growth and the Environment: A Case for Green Growth Accounting," Working Papers 0617, University of Crete, Department of Economics.
    2. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, 2002. "Parametric Decomposition of Output Growth," Working Papers 0204, University of Crete, Department of Economics.
    3. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    4. Frederic Ang & Pieter Jan Kerstens, 2016. "To Mix or Specialise? A Coordination Productivity Indicator for English and Welsh farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 779-798, September.
    5. Rene Fahr & Uwe Sunde, 2006. "Regional dependencies in job creation: an efficiency analysis for Western Germany," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1193-1206.
    6. Almas Heshmati & Subal C. Kumbhakar, 2010. "Technical Change and Total Factor Productivity Growth: The Case of Chinese Provinces," TEMEP Discussion Papers 201054, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2010.
    7. Wanglin Ma & Kathryn Bicknell & Alan Renwick, 2019. "Feed use intensification and technical efficiency of dairy farms in New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), pages 20-38, January.
    8. Mauro Vigani & Janet Dwyer, 2020. "Profitability and Efficiency of High Nature Value Marginal Farming in England," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(2), pages 439-464, June.
    9. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    10. Kristin Roll, 2013. "Measuring performance, development and growth when restricting flexibility," Journal of Productivity Analysis, Springer, vol. 39(1), pages 15-25, February.

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