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Estimating the degree of firms’ input market power via data envelopment analysis: Evidence from the global biotechnology and pharmaceutical industry

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  • Fukuyama, Hirofumi
  • Matousek, Roman
  • Tzeremes, Nickolaos G.

Abstract

This study estimates input market power by introducing an input-market-based Lerner index based on data envelopment analysis (DEA). This index is an extension to the DEA-based Lerner index. In doing so, we develop a revenue function, which is based on minimum distance framework. DEA based-Lerner indexes are commonly based on efficiency measures aiming at finding the “farthest” strongly efficient point. However, if firms operate in non-optimal scales, then such a methodological treatment can be restrictive. In our case, we adopt the minimum distance. We utilize a strongly revenue-efficient frontier and model a DEA based Lerner index which is less restrictive. We apply our index to a sample of global biotechnology and pharmaceutical (B&P) firms over the period 2015–2019. We further investigate the effect of firms’ research and development (R&D) on firms’ market power estimated by the input-market DEA-based Lerner indexes. Our findings suggest that the investment on R&D has a nonlinear effect on firms’ market power. Finally, our finding suggest that the positive effect of R&D is more pronounced on the estimated firms’ employees-based market power compared to the asset-based market power index.

Suggested Citation

  • Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2023. "Estimating the degree of firms’ input market power via data envelopment analysis: Evidence from the global biotechnology and pharmaceutical industry," European Journal of Operational Research, Elsevier, vol. 305(2), pages 946-960.
    • Handle: RePEc:eee:ejores:v:305:y:2023:i:2:p:946-960
    DOI: 10.1016/j.ejor.2022.06.023
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    1. Rebecca Henderson & Iain Cockburn, 1996. "Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 32-59, Spring.
    2. Panzar, John C & Rosse, James N, 1987. "Testing for "Monopoly" Equilibrium," Journal of Industrial Economics, Wiley Blackwell, vol. 35(4), pages 443-456, June.
    3. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    4. Hirofumi Fukuyama & William L. Weber, 2008. "Profit Inefficiency of Japanese Securities Firms," Journal of Applied Economics, Taylor & Francis Journals, vol. 11(2), pages 281-303, November.
    5. Fukuyama, Hirofumi, 2000. "Returns to scale and scale elasticity in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 125(1), pages 93-112, August.
    6. Haanes, Knut & Fjeldstad, Øystein, 2000. "Linking intangible resources and competition," European Management Journal, Elsevier, vol. 18(1), pages 52-62, February.
    7. Broadstock, David C. & Matousek, Roman & Meyer, Martin & Tzeremes, Nickolaos G., 2020. "Does corporate social responsibility impact firms' innovation capacity? The indirect link between environmental & social governance implementation and innovation performance," Journal of Business Research, Elsevier, vol. 119(C), pages 99-110.
    8. Léopold Simar & Valentin Zelenyuk, 2011. "Stochastic FDH/DEA estimators for frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
    9. Littlechild, S C, 1981. "Misleading Calculations of the Social Costs of Monopoly Power," Economic Journal, Royal Economic Society, vol. 91(362), pages 348-363, June.
    10. Acs, Zoltan J & Audretsch, David B, 1988. "Innovation in Large and Small Firms: An Empirical Analysis," American Economic Review, American Economic Association, vol. 78(4), pages 678-690, September.
    11. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    12. Kevin Grant & Roman Matousek & Martin Meyer & Nickolaos G. Tzeremes, 2020. "Research and development spending and technical efficiency: evidence from biotechnology and pharmaceutical sector," International Journal of Production Research, Taylor & Francis Journals, vol. 58(20), pages 6170-6184, October.
    13. Wilson, Paul W., 2018. "Dimension reduction in nonparametric models of production," European Journal of Operational Research, Elsevier, vol. 267(1), pages 349-367.
    14. Hirofumi Fukuyama & Yong Tan, 2022. "A new way to estimate market power in banking," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(2), pages 445-453, March.
    15. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 170-191, June.
    16. Mariana Mazzucato & Stuart Parris, 2015. "High-growth firms in changing competitive environments: the US pharmaceutical industry (1963 to 2002)," Small Business Economics, Springer, vol. 44(1), pages 145-170, January.
    17. Delis, Manthos D., 2010. "Competitive conditions in the Central and Eastern European banking systems," Omega, Elsevier, vol. 38(5), pages 268-274, October.
    18. Masao Nakamura & Hiroyuki Odagiri, 2003. "Transaction costs and capabilities as determinants of the R&D boundaries of the firm: a case study of the ten largest pharmaceutical firms in Japan," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(2-3), pages 187-211.
    19. Brissimis, Sophocles N. & Delis, Manthos D., 2011. "Bank-level estimates of market power," European Journal of Operational Research, Elsevier, vol. 212(3), pages 508-517, August.
    20. Christopher Pleatsikas & David Teece, 2003. "The Analysis of Market Definition and Market Power in the Context of Rapid Innovation," World Scientific Book Chapters, in: Essays In Technology Management And Policy Selected Papers of David J Teece, chapter 14, pages 385-416, World Scientific Publishing Co. Pte. Ltd..
    21. Zhu, Qingyuan & Wu, Jie & Ji, Xiang & Li, Feng, 2018. "A simple MILP to determine closest targets in non-oriented DEA model satisfying strong monotonicity," Omega, Elsevier, vol. 79(C), pages 1-8.
    22. Bresnahan, Timothy F., 1982. "The oligopoly solution concept is identified," Economics Letters, Elsevier, vol. 10(1-2), pages 87-92.
    23. Huang, Tai-Hsin & Chiang, Dien-Lin & Chao, Shih-Wei, 2017. "A new approach to jointly estimating the Lerner index and cost efficiency for multi-output banks under a stochastic meta-frontier framework," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 212-226.
    24. S Lozano & G Villa, 2005. "Determining a sequence of targets in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(12), pages 1439-1447, December.
    25. Dhanora, Madan & Sharma, Ruchi & Khachoo, Qayoom, 2018. "Non-linear impact of product and process innovations on market power: A theoretical and empirical investigation," Economic Modelling, Elsevier, vol. 70(C), pages 67-77.
    26. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2018. "Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non-parametric, two-stage models of production," LIDAM Reprints ISBA 2018023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    27. K Tone, 2002. "A strange case of the cost and allocative efficiencies in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1225-1231, November.
    28. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    29. Juan Aparicio & José Ruiz & Inmaculada Sirvent, 2007. "Closest targets and minimum distance to the Pareto-efficient frontier in DEA," Journal of Productivity Analysis, Springer, vol. 28(3), pages 209-218, December.
    30. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    31. Franco Malerba & Luigi Orsenigo, 2015. "The evolution of the pharmaceutical industry," Business History, Taylor & Francis Journals, vol. 57(5), pages 664-687, July.
    32. Aparicio, Juan & Cordero, Jose M. & Pastor, Jesus T., 2017. "The determination of the least distance to the strongly efficient frontier in Data Envelopment Analysis oriented models: Modelling and computational aspects," Omega, Elsevier, vol. 71(C), pages 1-10.
    33. Gilbert, Richard J & Newbery, David M G, 1982. "Preemptive Patenting and the Persistence of Monopoly," American Economic Review, American Economic Association, vol. 72(3), pages 514-526, June.
    34. Sebastián Lozano & Gabriel Villa, 2010. "Gradual technical and scale efficiency improvement in DEA," Annals of Operations Research, Springer, vol. 173(1), pages 123-136, January.
    35. Franco Malerba & Luigi Orsenigo, 2002. "Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history-friendly model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(4), pages 667-703, August.
    36. Lau, Lawrence J., 1982. "On identifying the degree of competitiveness from industry price and output data," Economics Letters, Elsevier, vol. 10(1-2), pages 93-99.
    37. Aparicio, Juan & Garcia-Nove, Eva M. & Kapelko, Magdalena & Pastor, Jesus T., 2017. "Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis," Omega, Elsevier, vol. 72(C), pages 1-14.
    38. Hirofumi Fukuyama & William L. Weber, 2005. "Modeling Output Gains And Earnings' Gains," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 4(03), pages 433-454.
    39. Aparicio, Juan & Pastor, Jesus T., 2014. "Closest targets and strong monotonicity on the strongly efficient frontier in DEA," Omega, Elsevier, vol. 44(C), pages 51-57.
    40. Henri Schildt & Thomas Keil & Markku Maula, 2012. "The temporal effects of relative and firm‐level absorptive capacity on interorganizational learning," Strategic Management Journal, Wiley Blackwell, vol. 33(10), pages 1154-1173, October.
    41. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    42. Hirofumi Fukuyama & William L. Weber, 2008. "Profit inefficiency of Japanese securities firm," Journal of Applied Economics, Universidad del CEMA, vol. 11, pages 281-303, November.
    43. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    44. Levin, Richard C, 1978. "Technical Change, Barriers to Entry, and Market Structure," Economica, London School of Economics and Political Science, vol. 45(180), pages 347-361, November.
    45. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    46. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    47. Lionel Nesta & Pier Paolo Saviotti, 2005. "Coherence of the Knowledge Base and the Firms’ Innovative Performance. Evidence from the Bio-Pharmaceutical Industry," SciencePo Working papers Main hal-03417696, HAL.
    48. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.
    49. Aparicio, Juan & Mahlberg, Bernhard & Pastor, Jesus T. & Sahoo, Biresh K., 2014. "Decomposing technical inefficiency using the principle of least action," European Journal of Operational Research, Elsevier, vol. 239(3), pages 776-785.
    50. Joan Penner‐Hahn & J. Myles Shaver, 2005. "Does international research and development increase patent output? An analysis of Japanese pharmaceutical firms," Strategic Management Journal, Wiley Blackwell, vol. 26(2), pages 121-140, February.
    51. Hirofumi Fukuyama & Hiroya Masaki & Kazuyuki Sekitani & Jianming Shi, 2014. "Distance optimization approach to ratio-form efficiency measures in data envelopment analysis," Journal of Productivity Analysis, Springer, vol. 42(2), pages 175-186, October.
    52. Kumbhakar, Subal C. & Park, Byeong U. & Simar, Leopold & Tsionas, Efthymios G., 2007. "Nonparametric stochastic frontiers: A local maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 137(1), pages 1-27, March.
    53. Lionel Nesta & Pier Paolo Saviotti, 2005. "Coherence Of The Knowledge Base And The Firm'S Innovative Performance: Evidence From The U.S. Pharmaceutical Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 123-142, March.
    54. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    55. Aparicio, Juan & Borras, Fernando & Pastor, Jesus T. & Vidal, Fernando, 2013. "Accounting for slacks to measure and decompose revenue efficiency in the Spanish Designation of Origin wines with DEA," European Journal of Operational Research, Elsevier, vol. 231(2), pages 443-451.
    56. A. P. Lerner, 1934. "The Concept of Monopoly and the Measurement of Monopoly Power," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 1(3), pages 157-175.
    57. Laura Spierdijk & Michalis Zaouras, 2017. "The Lerner index and revenue maximization," Applied Economics Letters, Taylor & Francis Journals, vol. 24(15), pages 1075-1079, September.
    58. Venturini, Francesco, 2015. "The modern drivers of productivity," Research Policy, Elsevier, vol. 44(2), pages 357-369.
    59. Stuart, Toby & Sorenson, Olav, 2003. "The geography of opportunity: spatial heterogeneity in founding rates and the performance of biotechnology firms," Research Policy, Elsevier, vol. 32(2), pages 229-253, February.
    60. George G. Djolov, 2004. "Market Power And The Pharmaceutical Industry In South Africa," Economic Affairs, Wiley Blackwell, vol. 24(2), pages 47-51, June.
    61. Xiaohua Sun & Fang Yuan & Yun Wang, 2021. "Market power and R&D investment: the case of China [Competition and innovation: an inverted-U relationship]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1499-1515.
    62. Charles Bérubé & Marc Duhamel & Daniel Ershov, 2012. "Market Incentives for Business Innovation: Results from Canada," Journal of Industry, Competition and Trade, Springer, vol. 12(1), pages 47-65, March.
    63. Fukuyama, Hirofumi & Maeda, Yasunobu & Sekitani, Kazuyuki & Shi, Jianming, 2014. "Input–output substitutability and strongly monotonic p-norm least distance DEA measures," European Journal of Operational Research, Elsevier, vol. 237(3), pages 997-1007.
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