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Firm heterogeneity and the pattern of R&D collaborations

Author

Listed:
  • Pascal Billand

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Christophe Bravard

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], UGA UFR FEG - Université Grenoble Alpes - Faculté d'Économie de Grenoble - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Jacques Durieu

    (CREG - Centre de recherche en économie de Grenoble - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], UGA UFR FEG - Université Grenoble Alpes - Faculté d'Économie de Grenoble - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Sudipta Sarangi

    (Virginia Tech [Blacksburg], DIW Berlin - Deutsches Institut für Wirtschaftsforschung)

Abstract

We consider an oligopoly setting in which firms form pairwise collaborative links in R&D with other firms. Each collaboration generates a value that depends on the identity of the firms that collaborate. First, we provide properties satisfied by pairwise equilibrium networks and efficient networks. Second, we use these properties in two types of situation (1) there are two groups of firms, and the value of a collaboration is higher when firms belong to the same group; (2) some firms have more innovative capabilities than others. These two situations provide clear insights about how firms heterogeneity affects both equilibrium and efficient networks. We also show that the most valuable collaborative links do not always appear in equilibrium, and a public policy that increases the value of the most valuable links may lead to a loss of social welfare.

Suggested Citation

  • Pascal Billand & Christophe Bravard & Jacques Durieu & Sudipta Sarangi, 2019. "Firm heterogeneity and the pattern of R&D collaborations," Post-Print halshs-02056322, HAL.
    • Handle: RePEc:hal:journl:halshs-02056322
    DOI: 10.1111/ecin.12789
    as

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    References listed on IDEAS

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    1. Gomes-Casseres, Benjamin & Hagedoorn, John & Jaffe, Adam B., 2006. "Do alliances promote knowledge flows?," Journal of Financial Economics, Elsevier, vol. 80(1), pages 5-33, April.
    2. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2011. "Strict Nash networks and partner heterogeneity," International Journal of Game Theory, Springer;Game Theory Society, vol. 40(3), pages 515-525, August.
    3. Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2013. "Modeling resource flow asymmetries using condensation networks," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(3), pages 537-549, September.
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    12. Billand, Pascal & Bravard, Christophe & Durieu, Jacques & Sarangi, Sudipta, 2015. "Efficient networks for a class of games with global spillovers," Journal of Mathematical Economics, Elsevier, vol. 61(C), pages 203-210.
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    More about this item

    Keywords

    R&D collaborations; networks; link value heterogeneity;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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