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Knowledge characteristics and the dynamics of technological alliances in Pharmaceuticals: Empirical evidence from Europe, US and Japan

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The paper investigates the co-evolutionary patterns of the dynamics of technological alliances and of the structure of the knowledge base in the pharmaceutical sector. The main hypothesis under scrutiny is that technological alliances represent a key resource for firms in knowledge intensive sectors to cope with dramatic changes in the knowledge base, marked by the introduction of discontinuities opening up new technological trajectories. By using patent information and data on technological alliances drawn from the CATI-MERIT database, we compare the evidence concerning the so-called triad, i.e. United States, Europe and Japan. The empirical results confirm the existence of a life cycle in biotechnology affecting the pharmaceutical industry. Furthermore, the dynamics of alliances is found to depend on (i) the phase of the biotechnology life cycle, (ii) the strength of the region in biotechnology and (iii) the general features of the economic environment of the region

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  • Krafft Jackie & Quatraro Francesco & Saviotti Pier Paolo, 2011. "Knowledge characteristics and the dynamics of technological alliances in Pharmaceuticals: Empirical evidence from Europe, US and Japan," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201113, University of Turin.
    • Handle: RePEc:uto:labeco:201113
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    11. Renato Garcia & Veneziano Araújo & Suelene Mascarini & Emerson Gomes Dos Santos & Ariana Ribeiro Costa, 2018. "An Analysis Of The Relation Between Geographical And Cognitive Proximity In University-Industry Linkages," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 132, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Ad van den Oord & Arjen van Witteloostuijn, 2018. "A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-27, May.
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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

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