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Domestic market competitiveness of Indian drug and pharmaceutical industry

Author

Listed:
  • Varun Mahajan

    (Eternal University)

  • D. K. Nauriyal

    (Kumaun University)

  • S. P. Singh

    (Indian Institute of Technology Roorkee)

Abstract

This paper attempts to analyse the competitiveness of Indian drug and pharmaceutical industry in the domestic market where multinational pharma companies are entering and expanding in a big way, especially after enforcement of product patent regime in 2005. The study applied data envelopment analysis model to estimate relative efficiency and productivity changes in 141 Indian pharmaceutical firms during 2000–2001 to 2012–2013 which encompass pre- and post-product patent regimes. The present study found negative impact of Product Patent Act on the efficiency scores. The technological change factor is found to have played positive role in the growth of productivity, whereas technical efficiency change depicts the judicious utilization of input resources for improving performance. A sensitivity analysis with the inclusion of R&D expenditure in input variables, confirmed the validity of our selected variables. It found marginal bearing of new patent regime on the efficiency of R&D active firms, though it was found to have significantly impacted efficiency scores of large firms, R&D intensive firms, and group-owned firms. The study reported that large size, R&D intensive, private-foreign owned and those engaged in drug formulations exhibit better performance. Further, it is found that ownership, capital imports intensity and size have a positive and significant relationship with efficiency scores, whereas the age, time dummy and size square variables are inversely related. The results suggest that Indian firms need substantive improvements in efficiency by adopting best managerial practices, ensuring optimum utilization of resources, and investing significantly in the technology and products innovation.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:rvmgts:v:14:y:2020:i:3:d:10.1007_s11846-018-0299-7
    DOI: 10.1007/s11846-018-0299-7
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    1. Paolo Epifani, 2003. "Trade liberalization, Firm Performances and Labor Market Outcomes in the Developing World, what Can We Learn From Micro-Level Data?," Rivista italiana degli economisti, Società editrice il Mulino, issue 3, pages 455-486.
    2. Pradhan, Jaya Prakash, 2004. "FDI spillovers and local productivity growth: evidence from Indian pharmaceutical industry," MPRA Paper 17080, University Library of Munich, Germany.
    3. Simeon Djankov & Peter Murrell, 2002. "Enterprise Restructuring in Transition: A Quantitative Survey," Journal of Economic Literature, American Economic Association, vol. 40(3), pages 739-792, September.
    4. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    5. H Saranga & R D Banker, 2010. "Productivity and technical changes in the Indian pharmaceutical industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(12), pages 1777-1788, December.
    6. Brian J. Aitken & Ann E. Harrison, 2022. "Do Domestic Firms Benefit from Direct Foreign Investment? Evidence from Venezuela," World Scientific Book Chapters, in: Globalization, Firms, and Workers, chapter 6, pages 139-152, World Scientific Publishing Co. Pte. Ltd..
    7. Chiranjib Neogi & Atsuko Kamiike & Takahiro Sato, 2012. "Identification of Factors Behind Performance of Pharmaceutical Industries in India," Discussion Paper Series DP2012-23, Research Institute for Economics & Business Administration, Kobe University.
    8. Pastor, Jesús T. & Asmild, Mette & Lovell, C.A. Knox, 2011. "The biennial Malmquist productivity change index," Socio-Economic Planning Sciences, Elsevier, vol. 45(1), pages 10-15, March.
    9. Ramcharran, Harri, 2011. "The pharmaceutical industry of Puerto Rico: Ramifications of global competition," Journal of Policy Modeling, Elsevier, vol. 33(3), pages 395-406, May.
    10. 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.
    11. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264, January.
    12. Ishita G. Tripathy & Surendra S. Yadav & Seema Sharma, 2013. "Efficiency and productivity in the process and product patent regimes: empirical evidence from the Indian pharmaceutical industry," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 6(1), pages 1-19.
    13. 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.
    14. H Saranga, 2007. "Multiple objective data envelopment analysis as applied to the Indian Pharmaceutical Industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1480-1493, November.
    15. Lothgren, Mickael & Tambour, Magnus, 1999. "Productivity and customer satisfaction in Swedish pharmacies: A DEA network model," European Journal of Operational Research, Elsevier, vol. 115(3), pages 449-458, June.
    16. Chandan Sharma, 2012. "R&D and firm performance: evidence from the Indian pharmaceutical industry," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 17(2), pages 332-342.
    17. Lanjouw, Jean O., 1997. "The Introduction of Pharmaceutical Product Patents in India: "Heartless Exploitation of the Poor and Suffering"?," Center Discussion Papers 28385, Yale University, Economic Growth Center.
    18. Mazumdar, Mainak & Rajeev, Meenakshi & Ray, Subhash C., 2012. "Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 47(2), pages 191-221.
    19. Chandan Sharma, 2016. "R&D, Technology Transfer And Productivity In The Indian Pharmaceutical Industry," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-24, January.
    20. Susan E Feinberg & Sumit K Majumdar, 2001. "Technology Spillovers from Foreign Direct Investment in the Indian Pharmaceutical Industry," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 32(3), pages 421-437, September.
    21. Bert Balk, 2001. "Scale Efficiency and Productivity Change," Journal of Productivity Analysis, Springer, vol. 15(3), pages 159-183, May.
    22. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    23. Shrivastava, Naveen & Sharma, Seema & Chauhan, Kavita, 2012. "Efficiency assessment and benchmarking of thermal power plants in India," Energy Policy, Elsevier, vol. 40(C), pages 159-176.
    24. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    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. Jaya Prakash Pradhan, 2010. "Strategic Asset-Seeking Activities of Emerging Multinationals: Perspectives of Foreign Acquisitions by Indian Pharmaceutical MNEs," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 1(2).
    27. John W. Kendrick & Beatrice N. Vaccara, 1980. "New Developments in Productivity Measurement and Analysis," NBER Books, National Bureau of Economic Research, Inc, number kend80-1, March.
    28. SIMAR, Léopold & WILSON, Paul W., 1998. "Productivity growth in industrialized countries," LIDAM Discussion Papers CORE 1998036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    29. Varun Mahajan & D.K. Nauriyal & S.P. Singh, 2015. "Efficiency trends in the Indian pharmaceutical industry in the new patent regime," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 16(4), pages 389-406.
    30. H.S. Pannu & U. Dinesh Kumar & Jamal A. Farooquie, 2011. "Efficiency and productivity analysis of Indian pharmaceutical industry using data envelopment analysis," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 10(1), pages 121-136.
    31. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    32. 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.
    33. Hashimoto, Akihiro & Haneda, Shoko, 2008. "Measuring the change in R&D efficiency of the Japanese pharmaceutical industry," Research Policy, Elsevier, vol. 37(10), pages 1829-1836, December.
    34. C. Lovell, 2003. "The Decomposition of Malmquist Productivity Indexes," Journal of Productivity Analysis, Springer, vol. 20(3), pages 437-458, November.
    35. Fernando Gascón & Jesús Lozano & Borja Ponte & David Fuente, 2017. "Measuring the efficiency of large pharmaceutical companies: an industry analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(5), pages 587-608, June.
    36. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    37. Chadha, Alka, 2009. "TRIPs and patenting activity: Evidence from the Indian pharmaceutical industry," Economic Modelling, Elsevier, vol. 26(2), pages 499-505, March.
    38. 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.
    39. Kalpana Chaturvedi & Joanna Chataway, 2006. "Strategic integration of knowledge in Indian pharmaceutical firms: creating competencies for innovation," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 1(1/2), pages 27-50.
    40. E. Grifell-Tatjé & C. Lovell, 1999. "A generalized Malmquist productivity index," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 7(1), pages 81-101, June.
    41. Fare, R. & Grosskopf, S. & Roos, P., 1995. "Productivity and quality changes in Swedish pharmacies," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 137-144, April.
    42. Shilpi Tyagi & D. K. Nauriyal & Rachita Gulati, 2018. "Firm level R&D intensity: evidence from Indian drugs and pharmaceutical industry," Review of Managerial Science, Springer, vol. 12(1), pages 167-202, January.
    43. 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.
    44. Gonzalez, Eduardo & Gascon, Fernando, 2004. "Sources of productivity growth in the Spanish pharmaceutical industry (1994-2000)," Research Policy, Elsevier, vol. 33(5), pages 735-745, July.
    45. Ray, Subhash C & Mukherjee, Kankana, 1996. "Decomposition of the Fisher Ideal Index of Productivity: A Non-parametric Dual Analysis of US Airlines Data," Economic Journal, Royal Economic Society, vol. 106(439), pages 1659-1678, November.
    46. Mainak Mazumdar & Meenakshi Rajeev, 2009. "A Comparative Analysis of Efficiency and Productivity of the Indian Pharmaceutical Firms: A Malmquist-Meta-Frontier Approach," Working Papers 223, Institute for Social and Economic Change, Bangalore.
    47. 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.
    48. Taewoo You & Xiaoying Chen & Mark Holder, 2010. "Efficiency and its determinants in pharmaceutical industries: ownership, R&D and scale economy," Applied Economics, Taylor & Francis Journals, vol. 42(17), pages 2217-2241.
    49. Mainak Mazumdar & Meenakshi Rajeev, 2009. "Output and Input Efficiency of Manufacturing Firms in India: A Case of the Indian Pharmaceutical Sector," Working Papers 219, Institute for Social and Economic Change, Bangalore.
    50. 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.
    51. 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.
    52. Jaswinder Singh & Parminder Singh, 2014. "Decomposition of Technical Efficiency and Productivity Growth in Indian Pharmaceutical Industry: A Non-Parametric Analysis," Artha Vijnana, Gokhale Institute of Politics and Economics, vol. 56(4), pages 456-478.
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    More about this item

    Keywords

    India; Pharmaceutical industry; Efficiency; Productivity; Data envelopment analysis; R&D; Size; Ownership; TRIPS; Product patent;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D2 - Microeconomics - - Production and Organizations
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • F00 - International Economics - - General - - - General

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