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Computational Results on Membership in R&D Cooperation Networks: To Be or Not To Be in a Research Joint Venture

Author

Listed:
  • Duarte Leite

    (LIAAD – INESC, LA, Faculdade de Economia do Porto, Universidade do Porto)

  • Pedro Campos

    (LIAAD – INESC, LA, Faculdade de Economia do Porto, Universidade do Porto)

  • Isabel Mota

    (CEF.UP, Faculdade de Economia do Porto, Universidade do Porto)

Abstract

In this study, we analyze firms’ membership in R&D (Research and Development) cooperation networks. Our main research hypothesis is that the membership in cooperation networks is related to the degree of the knowledge spillover. The approach focus on both cost symmetry and cost asymmetry. For that purpose, our work is developed in two tasks: we first develop an analytical model with three stages: in the first, firms decide whether to participate in a cooperative research network; in the second they simultaneously choose the level of R&D output, and finally firms choose the level of output through Cournot competition under both cost symmetry and cost asymmetry. Then we proceed with computational simulations in order to verify our hypothesis. From our results, we were able to conclude that cooperation leads to an improvement on RJV firms’ position in the market as it allows them to produce more than others with the same production conditions. Additionally, cooperating firms have to spend fewer resources on research, which turns the network a tremendous success on the productive efficiency level.

Suggested Citation

  • Duarte Leite & Pedro Campos & Isabel Mota, 2011. "Computational Results on Membership in R&D Cooperation Networks: To Be or Not To Be in a Research Joint Venture," FEP Working Papers 420, Universidade do Porto, Faculdade de Economia do Porto.
  • Handle: RePEc:por:fepwps:420
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    References listed on IDEAS

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    More about this item

    Keywords

    R&D; networks; spillover; simulation; RJV;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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