Endogenous Technology Cycles in Dynamic R&D Networks
Michael König and
No 13307, CEPR Discussion Papers from C.E.P.R. Discussion Papers
We study the coevolutionary dynamics of knowledge creation and diffusion with the formation of R&D collaboration networks. Differently to previous works, we do not treat knowledge as an abstract scalar variable, but rather represent it as a multidimensional portfolio of technologies. Over time the composition of this portfolio may change due innovations and knowledge spillovers between collaborating firms. The collaborations between firms, in turn, are dynamically adjusted based on the firms' expectations of learning a new technology from their collaboration partners. We show that the interplay between knowledge diffusion, network formation and competition across sectors can give rise to a cyclical pattern in the collaboration intensity, which can be described as a damped oscillation. This theoretical finding recapitulates the novel observation of oscillations in an empirical sample of a large R&D collaboration network over several decades. Finally, we apply our findings to describe how an effective R&D policy can balance subsidies for entrants as well as R&D collaborations between incumbent firms.
Keywords: Innovation; network formation; R&D networks; technology cycles (search for similar items in EconPapers)
JEL-codes: D85 L24 O32 O33 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cse, nep-ino, nep-knm, nep-net, nep-sbm, nep-tid and nep-ure
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