G2TT
来源类型Discussion paper
规范类型论文
来源IDDP13307
DP13307 Endogenous Technology Cycles in Dynamic R&D Networks
Michael König
发表日期2018-11-08
出版年2018
语种英语
摘要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.
主题Industrial Organization
关键词R&d networks Innovation Network formation Technology cycles
URLhttps://cepr.org/publications/dp13307
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/542120
推荐引用方式
GB/T 7714
Michael König. DP13307 Endogenous Technology Cycles in Dynamic R&D Networks. 2018.
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