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The evolution of R&D networks

Author

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  • Dawid, Herbert

    (Center for Mathematical Economics, Bielefeld University)

  • Hellmann, Tim

    (Center for Mathematical Economics, Bielefeld University)

Abstract

We study the evolution of R&D networks in a Cournot model where firms may lower marginal costs due to bilateral R&D collaborations. Stochastically stable R&D networks exhibit the dominant group architecture, and, contrary to the existing literature, generically unique predictions about the size of the dominant group can be obtained. This size decreases monotonically with respect to the cost of link formation and there exists a lower bound on the size of the dominant group for non-empty networks. Stochastically stable networks are always inefficient and an increase in linking costs has a non-monotone effect onaverage industry profits.

Suggested Citation

  • Dawid, Herbert & Hellmann, Tim, 2014. "The evolution of R&D networks," Center for Mathematical Economics Working Papers 467, Center for Mathematical Economics, Bielefeld University.
  • Handle: RePEc:bie:wpaper:467
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    References listed on IDEAS

    as
    1. Hellmann, Tim & Staudigl, Mathias, 2014. "Evolution of social networks," European Journal of Operational Research, Elsevier, vol. 234(3), pages 583-596.
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    18. König, Michael D. & Battiston, S. & Napoletano, M. & Schweitzer, F., 2011. "Recombinant knowledge and the evolution of innovation networks," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 145-164, August.
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    Cited by:

    1. Hellmann, Tim & Staudigl, Mathias, 2014. "Evolution of social networks," European Journal of Operational Research, Elsevier, vol. 234(3), pages 583-596.
    2. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, Open Access Journal, vol. 9(2), pages 1-67, May.
    3. Mauro Caminati, 2016. "Knowledge specialization and R&D collaboration," Journal of Evolutionary Economics, Springer, vol. 26(2), pages 247-270, May.
    4. Emmanuel Petrakis & Nikolas Tsakas, 2018. "The effect of entry on R&D networks," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 706-750, September.
    5. Sonja Brangewitz & Claus-Jochen Haake & Philipp Moehlmeier, 2015. "Strategic Formation of Customer Relationship Networks," Working Papers CIE 91, Paderborn University, CIE Center for International Economics.
    6. Savin, Ivan & Egbetokun, Abiodun, 2016. "Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 82-103.
    7. Hellmann, Tim & Landwehr, Jakob, 2018. "Pairwise stable networks in homogeneous societies," Center for Mathematical Economics Working Papers 517, Center for Mathematical Economics, Bielefeld University.
    8. Péter Bayer & Ani Guerdjikova, 2020. "Optimism leads to optimality: Ambiguity in network formation," Working Papers hal-03005107, HAL.
    9. César García-Díaz & Gábor Péli & Arjen van Witteloostuijn, 2020. "The coevolution of the firm and the product attribute space," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-25, June.
    10. Bayer, Peter & Guerdjikova, Ani, 2021. "Optimism leads to optimality: Ambiguity in network formation," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242439, Verein für Socialpolitik / German Economic Association.
    11. Dawid, Herbert & Hellmann, Tim, 2016. "R&D Investments under Endogenous Cluster Formation," Center for Mathematical Economics Working Papers 555, Center for Mathematical Economics, Bielefeld University.
    12. Dawid, Herbert & Hellmann, Tim, 2020. "R&D investments under endogenous cluster formation," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 253-283.

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    More about this item

    Keywords

    R&D Networks; Stochastic Stability; Oligopoly;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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