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The Determinants of Pharmaceutical R&D Expenditures: Evidence from Japan

  • Mahlich, Jörg C.

    ()

    (Wirtschaftskammer Österreich)

  • Roediger-Schluga, Thomas

    ()

    (ARC Systems Research)

During the past 20 years, the world pharmaceutical industry has experienced a dramatic increase in R&D intensity. We apply and extend a model developed by Grabowski and Vernon (2000) with a pooled data sample of the 15 publicly listed Japanese drug firms for the period 1987 to 1998. As in the reference paper, we find expected returns to be an important determinant of R&D spending in the Japanese drug industry, albeit considerably smaller than in the U.S., which is particularly obvious in the case of returns from newly introduced drugs. However, our results are sensitive to econometric model specification, in particular to controlling for serial correlation and to a dynamic specification of the baseline model. Likewise, estimates on financial constraints are sensitive to model specification, indicating that Japanese drug firms face small or no financial constraints. Our results are consistent with the general literature on R&D investment behaviour, yet raise some methodological questions with regard to the original study.

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Paper provided by United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT) in its series MERIT Working Papers with number 015.

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Date of creation: 2006
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Handle: RePEc:unm:unumer:2006015
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  1. Hall, Bronwyn H., 1992. "Investment and Research and Development at the Firm Level: Does the Source of Financing Matter?," Department of Economics, Working Paper Series qt5j59j6x3, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  2. R. Glenn Hubbard, 1998. "Capital-Market Imperfections and Investment," Journal of Economic Literature, American Economic Association, vol. 36(1), pages 193-225, March.
  3. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(06), pages 814-823, December.
  4. Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
  5. 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.
  6. Miarka, Tobias, 1999. "The recent economic role of bank-firm relationships in Japan," Discussion Papers, Research Unit: Market Dynamics FS IV 99-36, Social Science Research Center Berlin (WZB).
  7. Bronwyn H. Hall, 2003. "The Financing of Research and Development," Finance 0303003, EconWPA.
  8. Henry Grabowski & John Vernon, 2000. "The determinants of pharmaceutical research and development expenditures," Journal of Evolutionary Economics, Springer, vol. 10(1), pages 201-215.
  9. F. M. Scherer & Dietmar Harhoff & J, rg Kukies, 2000. "Uncertainty and the size distribution of rewards from innovation," Journal of Evolutionary Economics, Springer, vol. 10(1), pages 175-200.
  10. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  11. Steve Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  12. Akerlof, George A, 1970. "The Market for 'Lemons': Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, MIT Press, vol. 84(3), pages 488-500, August.
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