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International R&D collaboration networks

Author

Listed:
  • SONG, Huasheng
  • VANNETELBOSCH, Vincent

Abstract

We reconsider Goyal and Moraga-Gonzalez (Rand J. of Econ. 32 (2001), 686-707) model of strategic networks in order to analyze how government policies (e.g. subsidies) will affect the stability and efficiency of networks of R&D collaboration among three firms located in different countries. A conflict between stability and efficiency is likely to occur. When governments cannot subsidize R&D, this conflict will occur if public spillovers are not very small. However, when governments can subsidize R&D, the likelihood of a conflict is considerably reduced. Indeed, a conflict will arise only if public spillovers are very small or quite large.
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Suggested Citation

  • SONG, Huasheng & VANNETELBOSCH, Vincent, 2007. "International R&D collaboration networks," LIDAM Reprints CORE 2042, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:2042
    DOI: 10.1111/j.1467-9957.2007.01044.x
    Note: In : The Manchester School, 75(6), 742-766, 2007
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    Citations

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    Cited by:

    1. Chiara Conti & Marco A. Marini, 2019. "Are you the right partner? R&D agreement as a screening device," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(3), pages 243-264, April.
    2. Michael D. König & Xiaodong Liu & Yves Zenou, 2019. "R&D Networks: Theory, Empirics, and Policy Implications," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 476-491, July.
    3. Lorenzo Zirulia, 2006. "Industry profit maximizing R and D networks," Economics Bulletin, AccessEcon, vol. 12(1), pages 1-6.
    4. Vasileios Zikos, 2010. "R&D Collaboration Networks in Mixed Oligopoly," Southern Economic Journal, John Wiley & Sons, vol. 77(1), pages 189-212, July.
    5. Chiara CONTI, 2013. "Asymmetric information in a duopoly with spillovers: new findings on the effects of RJVs," Departmental Working Papers 2013-04, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    6. Yasunori Okumura, 2012. "Spatial competition and collaboration networks," International Journal of Game Theory, Springer;Game Theory Society, vol. 41(3), pages 455-472, August.
    7. Mitze, Timo & Naveed, Amjad & Ahmad, Nisar, 2016. "International, intersectoral, or unobservable? Measuring R&D spillovers under weak and strong cross-sectional dependence," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 259-272.
    8. Mizuno, Keizo, 2013. "Managerial incentives and endogenous coalition formation with externalities," Mathematical Social Sciences, Elsevier, vol. 66(1), pages 33-43.
    9. Keizo Mizuno & Yasunori Okumura, 2014. "Strategic Location Choice and Network Formation for Entry," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 170(2), pages 201-224, June.
    10. Fabio Di Dio & Luca Correani, 2019. "Collaboration Networks in a Hotelling Game," Economics Bulletin, AccessEcon, vol. 39(1), pages 127-141.
    11. Kesavayuth, Dusanee & Zikos, Vasileios, 2012. "Upstream and downstream horizontal R&D networks," Economic Modelling, Elsevier, vol. 29(3), pages 742-750.
    12. T. Huw Edwards & Ben Ferrett & Daniel Gravino, 2020. "Inter‐firm R&D collaboration within and across national borders," The World Economy, Wiley Blackwell, vol. 43(3), pages 810-826, March.

    More about this item

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General

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