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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

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Bibliographic Info

Article provided by Springer in its journal Journal of Productivity Analysis.

Volume (Year): 18 (2002)
Issue (Month): 1 (July)
Pages: 23-38

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Handle: RePEc:kap:jproda:v:18:y:2002:i:1:p:23-38

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Web page: http://www.springerlink.com/link.asp?id=100296

Related research

Keywords: technical change; time-varying technical efficiency; panel data; non-linear FGLS;

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References

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  1. W, Y, 1995. "Productivity Growth, Technological Progress, and Technical Efficiency Change in China: A Three-Sector Analysis1," Journal of Comparative Economics, Elsevier, vol. 21(2), pages 207-229, October.
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  3. 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.
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  5. 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.
  6. Konstantinos Giannakas & Kien Tran & Vangelis Tzouvelekas, 2000. "Efficiency, technological change and output growth in Greek olive growing farms: a Box-Cox approach," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 909-916.
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  10. Vo Hung Son, Tran & Coelli, Tim & Fleming, Euan, 1993. "Analysis of the technical efficiency of state rubber farms in Vietnam," Agricultural Economics, Blackwell, vol. 9(3), pages 183-201, September.
  11. 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.
  12. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
  13. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
  14. Almas Heshmati & Subal C. Kumbhakar, 1997. "Estimation Of Technical Efficiency In Swedish Crop Farms: A Pseudo Panel Data Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1-3), pages 22-37.
  15. Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
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Citations

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Cited by:
  1. 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.
  2. Suzanne O’Neill & Alan Matthews, 2001. "Technical Change and Efficiency in Irish Agriculture," The Economic and Social Review, Economic and Social Studies, vol. 32(3), pages 263-284.
  3. 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.
  4. 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.
  5. 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.
  6. Kristin Roll, 2013. "Measuring performance, development and growth when restricting flexibility," Journal of Productivity Analysis, Springer, vol. 39(1), pages 15-25, February.
  7. David I. Stern, 2004. "Diffusion of Emissions Abating Technology," Rensselaer Working Papers in Economics 0420, Rensselaer Polytechnic Institute, Department of Economics.
  8. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, . "Parametric Decomposition Of Output Growth," Working Papers 0204, University of Crete, Department of Economics.
  9. Anastasios Xepapadeas & E. Tzouvelekas & D. Vouvaki, 2007. "Total Factor Productivity Growth and the Environment: A Case for Green Growth Accounting," Working Papers 2007.38, Fondazione Eni Enrico Mattei.

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