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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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    1. Almas Heshmati, 1998. "Efficiency measurement in rotating panel data," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 919-930.
    2. Kumbhakar, Subal C & Hjalmarsson, Lennart, 1995. " Decomposing Technical Change with Panel Data: An Application to the Public Sector," Scandinavian Journal of Economics, Wiley Blackwell, vol. 97(2), pages 309-323, June.
    3. Rigby, Dan & Young, Trevor, 1996. "European Environmental Regulations to Reduce Water Pollution: An Analysis of Their Impact on UK Dairy Farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(1), pages 59-78.
    4. Shenggen Fan, 1991. "Effects of Technological Change and Institutional Reform on Production Growth in Chinese Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 266-275.
    5. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    6. 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.
    7. 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.
    8. Department of Agriculture, 1982. "Statistics," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 21(1), April.
    9. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455.
    10. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    16. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    17. Almas Heshmati, 1996. "On the single and multiple time trends representation of technical change," Applied Economics Letters, Taylor & Francis Journals, vol. 3(8), pages 495-499.
    18. Department of Agriculture, 1982. "Statistics," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 21(2), October.
    19. S. M. Mukhtar & P. J. Dawson, 1990. "Herd Size And Unit Costs Of Production In The England And Wales Dairy Sector," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 9-20, January.
    20. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    21. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
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    Cited by:

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    2. 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.
    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. Heshmati, Almas & Kumbhakar, Subal C., 2010. "Technical Change and Total Factor Productivity Growth: The Case of Chinese Provinces," IZA Discussion Papers 4784, Institute of Labor Economics (IZA).
    5. 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.
    6. 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.
    7. 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.
    8. Kristin Roll, 2013. "Measuring performance, development and growth when restricting flexibility," Journal of Productivity Analysis, Springer, vol. 39(1), pages 15-25, February.
    9. 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.
    10. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, 2002. "Parametric Decomposition of Output Growth," Working Papers 0204, University of Crete, Department of Economics.

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