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The Rise and Fall of R&D Networks

Author

Listed:
  • Mario V Tomasello

    (Swiss Federal Institute of Technology Zurich)

  • Mauro Napoletano

    (Observatoire français des conjonctures économiques)

  • Antonios Garas

    (Swiss Federal Institute of Technology Zurich)

  • Frank Schweitzer

    (Chair of Systems Design)

Abstract

Drawing on a large database of publicly announced R&D alliances, we track the evolutionof R&D networks in a large number of economic sectors over a long time period (1986-2009). Our main goal is to evaluate temporal and sectoral robustness of the main statisticalproperties of empirical R&D networks. By studying a large set of indicators, we providea more complete description of these networks with respect to the existing literature. Wefind that most network properties are invariant across sectors. In addition, they do notchange when alliances are considered independently of the sectorsto which partners belong.Moreover, we find that many properties of R&D networks are characterized by a rise-and-fall dynamics with a peak in the mid-nineties. Finally, we show that suchproperties of empirical R&D networks support predictions of the recent theoretical literature on R&D network formation.

Suggested Citation

  • Mario V Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2013. "The Rise and Fall of R&D Networks," Sciences Po publications 2013-15, Sciences Po.
  • Handle: RePEc:spo:wpmain:info:hdl:2441/f6h8764enu2lskk9p5487a6cm
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Mauro Caminati, 2016. "Knowledge specialization and R&D collaboration," Journal of Evolutionary Economics, Springer, vol. 26(2), pages 247-270, May.
    2. Claudio J. Tessone, "undated". "Collective behaviour induced by network volatility," Working Papers ETH-RC-14-010, ETH Zurich, Chair of Systems Design.
    3. Tobias Scholl & Antonios Garas & Frank Schweitzer, 2015. "The spatial component of R&D networks," Papers 1509.08291, arXiv.org.
    4. Kudic, Muhamed & Ehrenfeld, Wilfried & Pusch, Toralf, 2015. "Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry," IWH Discussion Papers 1/2015, Halle Institute for Economic Research (IWH).

    More about this item

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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