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Persistence of innovation, technological change and quality-adjusted patents in the US pharmaceutical industry

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Abstract

This paper analyzes American pharmaceutical firms' persistence in innovating just before the wave of mergers and acquisitions that accompanied the "Biotech revolution". We evaluate the impact of past innovative activity on firms' innovation propensities using a non-linear GMM estimator for exponential models that allows for predetermined regressors and linear feedback. We find that innovative activity at the firm level depends strongly on the scope of past innovations. Breakthroughs in particular depend largely on past quality innovation made by firms, and this effect may likely deter further pioneering discoveries rather than strengthen incentives to invest on non cumulative R&D. The results also shed light on the importance of small firms in the dynamics of innovation in pharmaceutical industry, and suggest that large firms persist in using patents strategically to remain dominant.

Suggested Citation

  • Gautier Duflos, 2006. "Persistence of innovation, technological change and quality-adjusted patents in the US pharmaceutical industry," Cahiers de la Maison des Sciences Economiques bla06029, Université Panthéon-Sorbonne (Paris 1).
  • Handle: RePEc:mse:wpsorb:bla06029
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    1. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2010. "Persistence of Innovation in Dutch Manufacturing: Is It Spurious?," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 495-504, August.
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    5. Segerstrom, Paul S & Zolnierek, James M, 1999. "The R&D Incentives of Industry Leaders," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 745-766, August.
    6. Reinganum, Jennifer F, 1983. "Uncertain Innovation and the Persistence of Monopoly," American Economic Review, American Economic Association, vol. 73(4), pages 741-748, September.
    7. repec:cup:etheor:v:13:y:1997:i:5:p:667-78 is not listed on IDEAS
    8. Mark Schankerman, 1998. "How Valuable is Patent Protection? Estimates by Technology Field," RAND Journal of Economics, The RAND Corporation, vol. 29(1), pages 77-107, Spring.
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    Citations

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    Cited by:

    1. Christian Le Bas & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2011. "Technological innovation persistence : Literature survey and exploration of the role of organizational innovation," Working Papers 1132, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Christian Le Bas & Nicolas Poussing, 2014. "Are Complex Innovators More Persistent Than Single Innovators? An Empirical Analysis Of Innovation Persistence Drivers," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-21.
    3. Choi, Joonhwan & Lee, Jaegul, 2017. "Repairing the R&D market failure: Public R&D subsidy and the composition of private R&D," Research Policy, Elsevier, vol. 46(8), pages 1465-1478.
    4. Christian Le Bas & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2015. "The differentiated impacts of organizational innovation practices on technological innovation persistence," Post-Print hal-01301433, HAL.
    5. Christian Le Bas & Caroline Mothe & Thuc Uyen Nguyen-Thi, 2015. "The differentiated impacts of organizational innovation practices on technological innovation persistence," Post-Print halshs-01497289, HAL.

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    More about this item

    Keywords

    Patent citations; pharmaceutical industry; persistence in innovation;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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