On the Structural Features of Scientific and Technological Innovation Network in China’s Urban System: Based on the Analysis of Cooperation Network of High-Level Papers
Zhongfan Jing () and
Guang Zhang
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Zhongfan Jing: Institute of Finance and Economics, Shanghai University of Finance and Economics, No. 777, Guoding Road, Shanghai 200433, China
Guang Zhang: School of International Business Administration, Shanghai University of Finance and Economics, No. 777, Guoding Road, Shanghai 200433, China
Chinese Journal of Urban and Environmental Studies (CJUES), 2016, vol. 04, issue 04, 1-22
Abstract:
The cooperation among cities to promote scientific and technological (sci-tech) innovation is of practical significance to regional coordinated development. Therefore, it is necessary to explore the features of sci-tech cooperation and innovation network in China’s urban system. Based on the recognition that high-level scientific papers are important achievements of sci-tech innovation, the author investigates the status quo of the cooperation on high-level scientific papers among cities, establishes a matrix on sci-tech innovation network in China’s urban system and analyzes its structural features and evolutionary trend during 2000–2010. The results show that: urban sci-tech innovation network is developing rapidly, but the development level remains low; network dominant city pairs are distributed across regions; network connection keys, concentrating in the eastern cities, present clear regional differences in distribution; the structure of network dominant cities is relatively stable, but the first network node city (Beijing) is underdeveloped; cohesive subgroups start to develop, but neither the national nor the regional high-level cohesive subgroups are fully developed; the largest subgroup consists of only 25 cities; and none of the three major urban agglomerations (Beijing–Tianjin–Hebei, Yangtze River Delta, and Pearl River Delta urban agglomerations) forms a complete cohesive subgroup.
Keywords: Urban system; cooperation on high-level papers; sci-tech innovation; network structure; evolutionary characteristics (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1142/S2345748116500330
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