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Technical Efficiency and Its Dynamics in Indian Manufacturing: An Inter-State Analysis

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  • Kankana Mukherjee

    (Worcester Polytechnic Institute)

  • Subhash C. Ray

    (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

Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2004-18.

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Length: 31 pages
Date of creation: Jul 2004
Date of revision:
Handle: RePEc:uct:uconnp:2004-18

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Keywords: super efficiency; convergence; Markov chains.;

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  1. 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.
  2. Lichtenberg, Frank R, 1994. "Testing the Convergence Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 576-79, August.
  3. Sala-i-Martin, Xavier, 1994. "Cross-sectional regressions and the empirics of economic growth," European Economic Review, Elsevier, vol. 38(3-4), pages 739-747, April.
  4. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
  5. Quah, Danny, 1993. "Galton's Fallacy and Tests of the Convergence Hypothesis," CEPR Discussion Papers 820, C.E.P.R. Discussion Papers.
  6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  8. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-51, April.
  9. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
  10. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-97, May.
  11. 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.
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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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