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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.

Suggested Citation

  • Subhash C Ray & Mainak Mazumdar & Meenakshi Rajeev, 2010. "Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms," Working Papers id:3334, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:3334
    Note: Institutional Papers
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    1. James R. Tybout, 2000. "Manufacturing Firms in Developing Countries: How Well Do They Do, and Why?," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 11-44, March.
    2. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    3. 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.
    4. Nina Pavcnik, 2002. "Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 245-276.
    5. 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.
    6. Kneip, Alois & Park, Byeong U. & Simar, Léopold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(6), pages 783-793, December.
    7. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264, October.
    8. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    9. 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.
    10. 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.
    11. 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;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 249-314, December.
    12. 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.
    13. 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.
    14. Richard E. Caves, 1998. "Industrial Organization and New Findings on the Turnover and Mobility of Firms," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 1947-1982, December.
    15. 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.
    16. 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.
    17. 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.
    18. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.
    19. 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.
    20. Ray, Subhash C., 1988. "Data envelopment analysis, nondiscretionary inputs and efficiency: an alternative interpretation," Socio-Economic Planning Sciences, Elsevier, vol. 22(4), pages 167-176.
    21. Sanghoon Ahn, 2001. "Firm Dynamics and Productivity Growth: A Review of Micro Evidence from OECD Countries," OECD Economics Department Working Papers 297, OECD Publishing.
    22. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    23. 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.
    24. Zieschang, Kimberly D., 1984. "An extended farrell technical efficiency measure," Journal of Economic Theory, Elsevier, vol. 33(2), pages 387-396, August.
    25. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    26. 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.
    27. 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.
    28. Richard E. Caves, 1992. "Industrial Efficiency in Six Nations," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262031930, April.
    29. Roberts, Mark J & Tybout, James R, 1997. "The Decision to Export in Colombia: An Empirical Model of Entry with Sunk Costs," American Economic Review, American Economic Association, vol. 87(4), pages 545-564, September.
    30. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
    31. 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.
    32. Mainak Mazumdar & Meenakshi Rajeev, 2009. "Comparing the Efficiency and Productivity of the Indian Pharmaceutical Firms: A Malmquist-Meta-Frontier Approach," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(2), pages 159-181, August.
    33. 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.
    34. 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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    Cited by:

    1. Arpita Ghose & Chandrima Chakraborti, 2013. "The Relative Role of Imports and Exports in Explaining Productivity of Indian Bio-Pharmaceutical Firms: Evidence from Non Parametric Data Envelopment Analysis," Foreign Trade Review, , vol. 48(2), pages 165-201, May.
    2. Varun Mahajan & D. K. Nauriyal & S. P. Singh, 2018. "Efficiency and Its Determinants: Panel Data Evidence from the Indian Pharmaceutical Industry," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 12(1), pages 19-40, February.
    3. Varun Mahajan & D. K. Nauriyal & S. P. Singh, 2020. "Domestic market competitiveness of Indian drug and pharmaceutical industry," Review of Managerial Science, Springer, vol. 14(3), pages 519-559, June.

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    More about this item

    Keywords

    Indian; pharmaceutical; firms; non-radial; patents; non-parametric approach; data envelopment analysis; DEA; input; output efficency;
    All these keywords.

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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