Community-level characteristics and member firms’ invention: evidence from university–industry innovation community in China

被引:0
|
作者
Wenjing Wang
Yiwei Liu
机构
[1] Central University of Finance and Economics,School of Statistics and Mathematics
[2] Central University of Finance and Economics,School of Government
来源
Scientometrics | 2021年 / 126卷
关键词
University–industry collaboration; Network community; Geographical distance; Knowledge diversity; Membership turnover;
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中图分类号
学科分类号
摘要
Increased attention has been drawn to the phenomenon of community-based innovation; however, researchers have mainly emphasized firm-centric communities, paying little attention to non-firm members. This study focuses on university–industry (U–I) innovation communities to address this gap. Using China’s joint patent application data from 2000 to 2017, we construct a U–I collaboration network, identified existing U–I innovation communities, and reveal community-level characteristics of birth, expansion, maturity, and self-renewal in a lifecycle framework. The results suggest that average geographical distance negatively affects firm invention production and within-community knowledge diversity positively affects firm innovation. The effects of dynamic attributes indicate that U–I community membership turnover affects member firm’s patent production in an inverse U-shaped manner. In addition, a firm’s within-community network position exerts a moderating effect on the relation between community membership dynamics and firm innovation. In theoretical terms, this study combines innovation community and social network theories, using a lifecycle framework to examine the influence of the specified characteristics in facilitating member firms’ invention productivity. Finally, this study discusses the practical implications for U–I community stakeholders and policymakers.
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页码:8913 / 8934
页数:21
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