R&D Networks: Theory, Empirics, and Policy Implications

Working Paper: CEPR ID: DP9872

Authors: Michael D. König; Xiaodong Liu; Yves Zenou

Abstract: We study a structural model of R&D alliance networks in which firms jointly form R&D collaborations to lower their production costs while competing on the product market. We derive the Nash equilibrium of this game, provide a welfare analysis and determine the optimal R&D subsidy program that maximizes total welfare. We also identify the key firms, i.e. the firms whose exit would reduce welfare the most. We then structurally estimate our model using a panel dataset of R&D collaborations and annual company reports. We use our estimates to identify the key firms and analyze the impact of R&D subsidy programs. Moreover, we analyze temporal changes in the rankings of key firms and how these changes affect the optimal R&D policy.

Keywords: Key firms; Optimal subsidies; R&D networks

JEL Codes: D85; L24; O33


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
key firms exit (L19)welfare loss (D69)
optimal R&D subsidy levels (O38)total welfare (D69)
R&D collaboration (O36)production costs (D24)
R&D collaboration (O36)output (C67)
R&D collaboration (O36)profit (L21)
R&D collaboration (O36)net effect (D85)
spillover effect (D62)output (C67)
spillover effect (D62)profit (L21)
competition effect (D41)output (C67)
competition effect (D41)profit (L21)

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