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Science linkages and innovation performance: An analysis on CIS-3 firms in Belgium

Author

Listed:
  • Cassiman, Bruno

    (IESE Business School)

  • Veugelers, Reinhilde

    (Katholike Universiteit Leuven)

  • Zuniga, Pluvia

    (Katholike Universiteit Leuven)

Abstract

This paper examines the diversity of linkages of firms to science and their effect on innovation performance for a sample of Belgian firms (CIS-3). While at the sectoral level links to science are highly related to the R&D intensity of the sector, we show that there is considerable heterogeneity in the type of links to science at the firm level. Overall, firms with a science linkage -which can be of various sorts- have superior innovation performance, in particular with respect to innovations new to the market. At the invention level, our findings confirm that patents from firms engaged in science are more frequently cited and have a broader technological and geographical impact, but we show that it is crucial to distinguish between direct science links at the invention level and indirect science links at the firm level to encounter these distinct positive effects of science links. Therefore, Science & Technology indicators should control for both invention-level and firm-level science links to really account for the effect of these industry-science links.

Suggested Citation

  • Cassiman, Bruno & Veugelers, Reinhilde & Zuniga, Pluvia, 2007. "Science linkages and innovation performance: An analysis on CIS-3 firms in Belgium," IESE Research Papers D/671, IESE Business School.
    • Handle: RePEc:ebg:iesewp:d-0671
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    References listed on IDEAS

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    Cited by:

    1. Grimpe, Christoph & Hussinger, Katrin, 2008. "Formal and Informal Technology Transfer from Academia to Industry: Complementarity Effects and Innovation Performance," ZEW Discussion Papers 08-080, ZEW - Leibniz Centre for European Economic Research.
    2. Koen Jonkers & Frédérique Sachwald, 2018. "The dual impact of ‘excellent’ research on science and innovation: the case of Europe," Science and Public Policy, Oxford University Press, vol. 45(2), pages 159-174.
    3. Ibañez-Zarate, Guiomar, 2015. "The determinants of partner choice for cooperative innovation: The effect of competition," Working Papers 2072/252214, Universitat Rovira i Virgili, Department of Economics.
    4. Pavel Bakhtin & Ozcan Saritas & Alexander Chulok & Ilya Kuzminov & Anton Timofeev, 2017. "Trend monitoring for linking science and strategy," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2059-2075, June.

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    More about this item

    Keywords

    Innovation; patents; forward citation; science; industrial innovation;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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    1. Socio-Economics of Innovation

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