Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences
Scientometrics, ISSN: 1588-2861, Vol: 108, Issue: 3, Page: 1383-1415
2016
- 35Citations
- 101Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The formation, evolution, and dynamics of Industry–University–Research Institute (IUR) scientific collaborations in China have not been uncovered fully in extant literature. This study seeks to fill this research gap based on a novel sample of the China Academy of Sciences (CAS) from an ego-network perspective and especially reveals the guiding role of government policies. By taking the inter-organizational scientific collaboration systems of the CAS with enterprises and universities as a proxy for IUR collaborations in China, we explore the dynamic evolution and characteristics of the IUR collaboration networks in China during the period from 1978 to 2015. Our study reveals a simultaneous trend in accordance with the effects of the government’s science and technology (S&T) policies on shaping the linkages among public research institutes, enterprises and universities during the last several decades. In particular, we find that S&T policies issued by the government may affect the dynamic evolution of the small-world structure in the scientific collaboration networks of public research institutes with enterprises and universities over time. This study enriches the empirical research on IUR collaborations in the context of China by examining the patterns of bilateral or trilateral collaborations between and among CAS with industries and universities around this country, which not only contributes to understanding the dynamic evolution of China’s IUR collaborations in the context of a series of government S&T policies but also helps deepen our understanding of the characteristics of China’s national innovation system.
Bibliographic Details
Springer Science and Business Media LLC
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