Major factors affecting cross-city R&D collaborations in China: evidence from cross-sectional co-patent data between 224 cities

Sheng-qiang Jiang, An-na Shi (), Zhi-hang Peng and Xin Li ()
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Sheng-qiang Jiang: Hohai University
An-na Shi: Hohai University
Zhi-hang Peng: Nanjing Medical University
Xin Li: Nanjing Medical University

Scientometrics, 2017, vol. 111, issue 3, No 2, 1266 pages

Abstract: Abstract Scientific research activities cluster in cities or towns. Modern cities can play a crucial role in the national or regional innovation system. Strengthening R&D collaboration between cities can contribute to perfectly integrating various regional innovation systems. Using the cross-sectional co-patent data of the Chinese Patent Database as a proxy for R&D collaboration, this paper investigates the spatial patterns of R&D collaborations between 224 Chinese cities and the major factors that affect cross-city R&D collaborations in China. A spatial interaction model was used to examine how spatial, economic, technological and political factors affect cross-city R&D collaborations. The degree of centrality shows that cross-city collaborative R&D activities mainly occur in favored regions, advanced municipalities and coastal regions. The mean collaboration intensity for intra-provincial cross-city collaborations is 4.74; however, for inter-provincial collaborations, it is 0.69. The econometric findings reveal that spatial, economic, technological and political bias factors do yield significant influences on the frequency of cross-city R&D collaboration. Specifically, as evidenced by the model coefficient, it is more likely that R&D collaborations occur among cities that are connected by high-speed railways.

Keywords: Cross-city; R&D collaboration; Affecting factors; Spatial interaction model; Co-patent; China (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s11192-017-2358-2

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