The efficiency and stability of R&D networks

https://doi.org/10.1016/j.geb.2011.12.007Get rights and content

Abstract

We investigate the efficiency and stability of R&D networks in a model with network-dependent indirect spillovers. We show that the efficient network structure critically depends on the marginal cost of R&D collaborations. When the marginal cost is low, the complete graph is efficient, while high marginal costs imply that the efficient network is asymmetric and has a nested structure. Regarding the stability of network structures, we show the existence of both symmetric and asymmetric equilibria. The efficient network is stable for small industry size and small cost. In contrast, for large industry size, there is a wide region of cost in which the efficient network is not stable. This implies a divergence between efficiency and stability in large industries.

Highlights

► We model R&D collaboration networks with network-dependent indirect spillovers. ► We study which network architectures are efficient and/or stable. ► The marginal cost of collaborations and the industry size play a critical role. ► For intermediate costs, the efficient network has an asymmetric and nested structure. ► In large industries, efficient networks are not stable.

References (51)

  • D. Hojman et al.

    Core and periphery in networks

    J. Econ. Theory

    (2008)
  • M.O. Jackson et al.

    A strategic model of social and economic networks

    J. Econ. Theory

    (1996)
  • M.D. König et al.

    Recombinant knowledge and the evolution of innovation networks

    J. Econ. Behav. Organ.

    (2011)
  • B. Papendieck et al.

    On maximal entries in the principal eigenvector of graphs

    Linear Algebra Appl.

    (2000)
  • D. Stevanovic

    Research problems from the Aveiro workshop on graph spectra

    Linear Algebra Appl.

    (2007)
  • R. Veugelers

    Internal R&D expenditures and external technology sourcing

    Res. Pol.

    (1997)
  • G. Ahuja

    Collaboration networks, structural holes, and innovation: A longitudinal study

    Admin. Sci. Quart.

    (2000)
  • V. Bala et al.

    A noncooperative model of network formation

    Econometrica

    (2000)
  • C. Ballester et al.

    Whoʼs who in networks. Wanted: The key player

    Econometrica

    (2006)
  • F. Bloch et al.

    Definitions of equilibrium in network formation games

    Int. J. Game Theory

    (2006)
  • R.A. Brualdi et al.

    On the spectral radius of connected graphs

    Publ. Inst. Math.

    (1986)
  • R. Burt

    Structural Holes: The Social Structure of Competition

    (1992)
  • A. Calvó-Armengol et al.

    Pairwise-stability and Nash equilibria in network formation

    Int. J. Game Theory

    (2009)
  • S. Cioaba et al.

    Principal eigenvectors of irregular graphs

    Electron. J. Linear Algebra

    (2007)
  • W. Cohen et al.

    Innovation and learning: The two faces of R&D

    Econ. J.

    (1989)
  • Cited by (78)

    • R&D network formation with myopic and farsighted firms

      2023, Journal of Economic Behavior and Organization
    • R&D investments under endogenous cluster formation

      2020, Journal of Economic Behavior and Organization
    View all citing articles on Scopus
    View full text