The Evolution of R&D Networks

Dawid H, Hellmann T (2014)
Journal of Economic Behavior and Organization 105: 158-172.

Journal Article | Published | English

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Abstract
We study the evolution of R&D networks in a Cournot model where rms 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 on average industry profits.
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Dawid H, Hellmann T. The Evolution of R&D Networks. Journal of Economic Behavior and Organization. 2014;105:158-172.
Dawid, H., & Hellmann, T. (2014). The Evolution of R&D Networks. Journal of Economic Behavior and Organization, 105, 158-172.
Dawid, H., and Hellmann, T. (2014). The Evolution of R&D Networks. Journal of Economic Behavior and Organization 105, 158-172.
Dawid, H., & Hellmann, T., 2014. The Evolution of R&D Networks. Journal of Economic Behavior and Organization, 105, p 158-172.
H. Dawid and T. Hellmann, “The Evolution of R&D Networks”, Journal of Economic Behavior and Organization, vol. 105, 2014, pp. 158-172.
Dawid, H., Hellmann, T.: The Evolution of R&D Networks. Journal of Economic Behavior and Organization. 105, 158-172 (2014).
Dawid, Herbert, and Hellmann, Tim. “The Evolution of R&D Networks”. Journal of Economic Behavior and Organization 105 (2014): 158-172.
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