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Technical Efficiency And Its Dynamics In Indian Manufacturing: An Inter State Analysis

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  • Kankana Mukherjee

    (Department of Management ,Worcester Polytechnic Institute)

  • Subhash C. Ray

    (Department of Economics, University of Connecticut)

Abstract

This paper analyzes state level data from the manufacturing sector in India for the period 1986-87 to 1999-00 to study the efficiency dynamics of a ‘typical’ firm in individual states during the pre- and post reform years. Using the non-parametric method of Data Envelopment Analysis we utilize super-efficiency models to rank the states in terms of their performance and investigate the dynamics of the efficiency rankings over time. We find no major change in the efficiency ranking of states after the reforms. Nor is there any evidence of convergence in the distribution of efficiency in the post-reform period.

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Bibliographic Info

Article provided by Department of Economics, Delhi School of Economics in its journal Indian Economic Review.

Volume (Year): 40 (2005)
Issue (Month): 2 (December)
Pages: 101-125

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Handle: RePEc:dse:indecr:v:40:y:2005:i:2:p:101-125

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Keywords: super efficiency; convergence; Markov chains.;

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References

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  1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, Elsevier, vol. 2(6), pages 429-444, November.
  2. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 100(2), pages 223-51, April.
  3. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, Econometric Society, vol. 52(3), pages 579-97, May.
  4. Lichtenberg, Frank R, 1994. "Testing the Convergence Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 576-79, August.
  5. Mitra, Arup & Varoudakis, Aristomene & Veganzones-Varoudakis, Marie-Ange, 2002. "Productivity and Technical Efficiency in Indian States' Manufacturing: The Role of Infrastructure," Economic Development and Cultural Change, University of Chicago Press, vol. 50(2), pages 395-426, January.
  6. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, INFORMS, vol. 39(10), pages 1261-1264, October.
  7. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, INFORMS, vol. 48(5), pages 705-710, May.
  8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, INFORMS, vol. 30(9), pages 1078-1092, September.
  9. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
  10. Quah, Danny, 1993. "Galton's Fallacy and Tests of the Convergence Hypothesis," CEPR Discussion Papers, C.E.P.R. Discussion Papers 820, C.E.P.R. Discussion Papers.
  11. Xavier Sala-i-Martin, 1994. "Cross-sectional regressions and the empirics of economic growth," Economics Working Papers 79, Department of Economics and Business, Universitat Pompeu Fabra.
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Cited by:
  1. Subhash C Ray & Mainak Mazumdar & Meenakshi Rajeev, 2010. "Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms," Working Papers id:3334, eSocialSciences.
  2. Anup Kumar Bhandari, 2010. "Global Crisis, Environment Volatility and Expansion of Tthe Indian Leather Industry," Working Papers id:2500, eSocialSciences.

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