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Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms

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  • Subhash C Ray
  • Mainak Mazumdar

    ()

  • Meenakshi Rajeev

    ()

Abstract

Using the non parametric approach of Data Envelopment Analysis (DEA) this paper examines the input and output efficiencies of the Indian pharmaceutical firms for the period 1991 to 2005.

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Bibliographic Info

Paper provided by eSocialSciences in its series Working Papers with number id:3334.

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Date of creation: Dec 2010
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Handle: RePEc:ess:wpaper:id:3334

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Keywords: Indian; pharmaceutical; firms; non-radial; patents; non-parametric approach; data envelopment analysis; DEA; input; output efficency;

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  1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor and Francis Journals, vol. 27(6), pages 779-802.
  2. Evangelia Desli & Subhash C. Ray, 2004. "A Bootstrap-Regression Procedure to Capture Unit Specific Effects In Data Envelopment Analysis," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 89-110, January.
  3. Kaliappa Kalirajan & Shashanka Bhide, 2004. "The Post-reform Performance of the Manufacturing Sector in India," Asian Economic Papers, MIT Press, vol. 3(2), pages 126-157.
  4. Majumdar, Sumit K., 1998. "Slack in the state-owned enterprise: An evaluation of the impact of soft-budget constraints," International Journal of Industrial Organization, Elsevier, vol. 16(3), pages 377-394, May.
  5. Kankana Mukherjee & Subhash C. Ray, 2005. "Technical Efficiency And Its Dynamics In Indian Manufacturing: An Inter State Analysis," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 40(2), pages 101-125, December.
  6. Subhash C. Ray, 1991. "Resource-Use Efficiency in Public Schools: A Study of Connecticut Data," Management Science, INFORMS, vol. 37(12), pages 1620-1628, December.
  7. Aw, B. -Y. & Hwang, A. R., 1995. "Productivity and the export market: A firm-level analysis," Journal of Development Economics, Elsevier, vol. 47(2), pages 313-332, August.
  8. TULKENS, Henry & VANDEN EECKAUT, Philippe, 1993. "Non-Parametric Efficiency, Progress and Regress Measures for Panel Data : Methodological Aspects," CORE Discussion Papers 1993016, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  9. Kneip, Alois & Park, Byeong U. & Simar, L opold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(06), pages 783-793, December.
  10. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
  11. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264.
  12. 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.
  13. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, September.
  14. Ray, Subhash C. & Jeon, Yongil, 2008. "Reputation and efficiency: A non-parametric assessment of America's top-rated MBA programs," European Journal of Operational Research, Elsevier, vol. 189(1), pages 245-268, August.
  15. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-97, May.
  16. R. Banker & W. Cooper & E. Grifell-Tajté & Jesús Pastor & Paul Wilson & Eduardo Ley & C. Lovell, 1994. "Validation and generalization of DEA and its uses," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 2(2), pages 249-314, December.
  17. Katayama, Hajime & Lu, Shihua & Tybout, James R., 2009. "Firm-level productivity studies: Illusions and a solution," International Journal of Industrial Organization, Elsevier, vol. 27(3), pages 403-413, May.
  18. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
  19. Duncombe, William & Miner, Jerry & Ruggiero, John, 1997. " Empirical Evaluation of Bureaucratic Models of Inefficiency," Public Choice, Springer, vol. 93(1-2), pages 1-18, October.
  20. Kalirajan, K P & Obwona, M B, 1994. "Frontier Production Function: The Stochastic Coefficients Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(1), pages 87-96, February.
  21. Subhash C. Ray, 2002. "Did India's Economic Reforms improve Efficiency and Productivity? A Nonparametric Analysis of the Initial Evidence from Manufacturing," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 37(1), pages 23-57, January.
  22. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
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