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An Empirical Evaluation Of The Determinants Of Research Joint Venture Formation

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  • Siotis, Georges
  • Marín Uribe, Pedro Luis
  • Hernán, Roberto

Abstract

This paper empirically analyses the determinants of firm participation in Research Joint Ventures (RJVs). A review of the theoretical literature highlights the difficulty of identifying a set of testable hypotheses. Using a large database of European RJVs, we estimate two participation equations at the firm level using the logit procedure. We find that sectoral R&D intensity positively influences the probability of forming an RJV. The presence of technological spillovers has a positive effect on RJV formation, but this is restricted to R&D intensive industries. A minimum level of industry concentration is needed for RJVs to be formed. Last, firm size and past experience with research cooperation increases the likelihood of RJV formation.

Suggested Citation

  • Siotis, Georges & Marín Uribe, Pedro Luis & Hernán, Roberto, 2000. "An Empirical Evaluation Of The Determinants Of Research Joint Venture Formation," CEPR Discussion Papers 2442, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:2442
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    1. Randall K. Filer & Jan Hanousek, 2002. "Data Watch: Research Data from Transition Economies," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 225-240, Winter.
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    3. Bruce Kogut, 1991. "Joint Ventures and the Option to Expand and Acquire," Management Science, INFORMS, vol. 37(1), pages 19-33, January.
    4. Yannis Katsoutacos & David Ulph, 1998. "Endogenous Spillovers and the Performance of Research Joint Ventures," Journal of Industrial Economics, Wiley Blackwell, vol. 46(3), pages 333-357, September.
    5. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    6. repec:bla:jindec:v:46:y:1998:i:3:p:333-57 is not listed on IDEAS
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    More about this item

    Keywords

    R&d; Research joint ventures; Spilllovers;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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