Bulletin of Chinese Academy of Sciences (Chinese Version)


new energy automobile industry; innovation networks; spillover effect; Spatial Dubin Model (SDM)

Document Type

Regional Innovation in China under Double Cycle Pattern


The network spillover effect of knowledge has been playing an increasingly significant role in the development of industrial innovation. The urban cooperation matrix of China’s new energy automobile industry is built based on new energy automobile patent data, and the structure and evolution process of China’s new energy automobile industry are depicted. On this basis, the spatial Dubin model (SDM) is used to calculate the network spillover effect, and its results are compared with the results of spillover effect based on the relationship of spatial contiguity and distance of cities. The results show that the innovation activities of China’s new energy automobile industry have begun to take shape, and a certain scale of innovation network has been formed. However, the innovation cooperation among cities and enterprises is not close. The innovation activities of new energy automobile industry are mainly concentrated in large cities, and from such cities, the innovation activities have strongly radiation to surrounding regions. The R&D investment of enterprises plays the key role in promoting the innovation and development of the local new energy automobile industry, but it has not produced significant spillover effect on the countrywide scale.

First page


Last Page





Bulletin of Chinese Academy of Sciences


1 Dicken P. Global Shift:Mapping the Hanging Contours of the World Economy (7th ed). New York:The Guilford Press, 2015.

2 Kimble C, Wang H. China's new energy vehicles:Value and innovation. Journal of Business Strategy, 2013, 34(2):13-20.

3 余谦, 白梦平, 覃一冬. 多维邻近性能促进中国新能源汽车企业的合作创新吗?. 研究与发展管理, 2018, 30(6):67-74. Yu Q, Bai M P, Qin Y D. Does multi-dimensional proximity promote innovation cooperation between new energy automobile enterprises in China?. R&D Management, 2018, 30(6):67-74. (in Chinese)

4 张凯煌, 千庆兰, 陈清怡. 多尺度视角下中国新能源汽车产业创新空间格局及网络特征. 地理科学进展, 2021, 40(11):1824-1838. Zhang K H, Qian Q L, Chen Q Y. Multi-level spatial patterns and network characteristics of China's new energy vehicle industrial technological innovation. Progress in Geography, 2021, 40(11):1824-1838. (in Chinese)

5 Carlino G, Kerr W R. Agglomeration and innovation//Duranton G, Henderson J V, Strange W. Handbook of Regional and Urban Economics, Vol 5. Amsterdam:Elsevier, 2015:349-404.

6 Castells M. The Rise of the Network Society. Oxford:Blackwell, 1996.

7 Capello R. The city network paradigm:Measuring urban network externalities. Urban Studies, 2000, 37(11):1925-1945.

8 张凯煌, 千庆兰. 中国新能源汽车产业创新网络特征及其多维邻近性成因. 地理研究, 2021, 40(8):2170-2187. Zhang K H, Qian Q L. Characteristics and proximities mechanism of China's new energy vehicle industry innovation network. Geographical Research, 2021, 40(8):2170-2187. (in Chinese)

9 苏屹, 曹铮. 新能源汽车协同创新网络结构及影响因素研究. 科学学研究, 2022, 40(6):1128-1142. Su Y, Cao Z. Structure and influencing factors of cooperative innovation network for new energy automobile. Studies in Science of Science, 2022, 40(6):1128-1142. (in Chinese)

10 Glaeser E L, Kallal H D, Scheinkman J A, et al. Growth in cities. Journal of Political Economy, 1992, 100(6):1126-1152.

11 姚常成, 吴康. 集聚外部性、网络外部性与城市创新发展. 地理研究, 2022, 41(9):2330-2349. Yao C C, Wu K. Agglomeration externalities, network externalities and urban innovation development. Geographical Research, 2022, 41(9):2330-2349. (in Chinese)

12 Meng X X, Liu M L, Wang J. Innovation network economic model of new energy automobile industry based on social network perspective. Journal of Thermal Analysis and Calorimetry, 2021, 144(5):1671-1680.

13 Ter Wal A L J. The dynamics of the inventor network in German biotechnology:Geographic proximity versus triadic closure. Journal of Economic Geography, 2014, 14(3):589-620.