| 来源类型 | Discussion paper
|
| 规范类型 | 论文
|
| 来源ID | DP13307
|
| 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
|
| URL | https://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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