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The Rise and Fall of R&D Networks

Author

Listed:
  • Mauro V. Tomasello
  • Mauro Napoletano
  • Antonios Garas
  • Frank Schweitzer

Abstract

Drawing on a large database of publicly announced R&D alliances, we track the evolution of 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 statistical properties of empirical R&D networks. By studying a large set of indicators, we provide a more complete description of these networks with respect to the existing literature. We find that most network properties are invariant across sectors. In addition, they do not change when alliances are considered independently of the sectors to 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 such properties of empirical R&D networks support predictions of the recent theoretical literature on R&D network formation.

Suggested Citation

  • Mauro V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2013. "The Rise and Fall of R&D Networks," LEM Papers Series 2013/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Handle: RePEc:ssa:lemwps:2013/18
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    References listed on IDEAS

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    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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