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Comparing the Efficiency and Productivity of the Indian Pharmaceutical Firms: A Malmquist-Meta-Frontier Approach

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Author Info

  • Mainak Mazumdar

    (Centre for Economic Studies and Policy, Institute for Social and Economic Change, Bangalore, India)

  • Meenakshi Rajeev

    (Centre for Economic Studies and Policy, Institute for Social and Economic Change, Bangalore, India)

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    Abstract

    This paper examines the technical efficiency, technological gap ratio, and productivity change of Indian pharmaceutical firms across different groups. The groups are formed based on size, strategies, and product varieties. The analysis indicates that vertically integrated firms that produce both bulk drug and formulation exhibit higher technological innovation and efficiency. However, in contrast with popular belief, the analysis reveals that increased export earnings do not necessarily lead to higher efficiency.

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    Bibliographic Info

    Article provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.

    Volume (Year): 8 (2009)
    Issue (Month): 2 (August)
    Pages: 159-181

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    Handle: RePEc:ijb:journl:v:8:y:2009:i:2:p:159-181

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    Postal: 100 Wenhwa Road, Seatwen, Taichung
    Web page: http://www.ijbe.org/
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    Related research

    Keywords: data envelopment analysis; efficiency; global frontier; group frontier; pharmaceutical; technological gap ratio; Malmquist productivity index;

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    1. Pavcnik, Nina, 2002. "Trade Liberalization, Exit, and Productivity Improvement: Evidence from Chilean Plants," Review of Economic Studies, Wiley Blackwell, vol. 69(1), pages 245-76, January.
    2. 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.
    3. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    4. Shawna Grosskopf, 2003. "Some Remarks on Productivity and its Decompositions," Journal of Productivity Analysis, Springer, vol. 20(3), pages 459-474, November.
    5. Sofronis K. Clerides & Saul Lach & James R. Tybout, 1998. "Is Learning By Exporting Important? Micro-Dynamic Evidence From Colombia, Mexico, And Morocco," The Quarterly Journal of Economics, MIT Press, vol. 113(3), pages 903-947, August.
    6. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    7. Tybout, James & de Melo, Jaime & Corbo, Vittorio, 1990. "The effects of trade reforms on scale and technical efficiency : new evidence from Chile," Policy Research Working Paper Series 481, The World Bank.
    8. 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.
    9. Pradhan, Jaya Prakash, 2007. "New Policy Regime and Small Pharmaceutical Firms in India," MPRA Paper 12335, University Library of Munich, Germany.
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