Spatial-temporal pattern and influencing factors of corporate innovation in three coastal urban clusters in China

LIU Shufeng1,2 DU Debin1,2 QIN Xionghe1,2 HE Shunhui1,2

(1.Institute for Global Innovation & Development, East China Normal University, Shanghai, China 200062)
(2.School of Urban & Regional Science, East China Normal University, Shanghai, China 200062)
【Knowledge Link】friction coefficient

【Abstract】As the core areas of the regional economy, urban clusters plays the important roles in leading the national innovation and development. This paper uses Gini coefficient, concentration index, kernel density, spatial correlation index, and spatial econometric model to analyze the enterprises in terms of their technological innovation, spatial difference, spread pattern, hierarchical structure and influencing factors among the urban clusters in Beijing-Tianjin-Hebei region, the Yangtze River Delta and the Pearl River Delta based on the data of 1,408,713 patents of enterprises from 1995 to 2013. We found that (1) Chinese corporate innovation presents an overall exponential growth with different characteristics in different phases, and the changing trends are different among the three urban clusters. Entry into the WTO and the economic crisis in 2008 are the two important events that have an impact on corporate innovation. (2) The change of spatial variation index of corporate innovation in the three major urban clusters shows an inverted U-shape. The spatial difference of urban clusters in in Beijing-Tianjin-Hebei region is the most significant with the driving of Beijing and Tianjin. In addition, there is no hierarchical structure of urban innovation yet. There is a “polycentric band-shaped spread” trend of urban clusters in the Yangtze River Delta and the Pearl River Delta, and there are two hierarchical structures in the two major urban clusters, namely, “pyramid” and “inverted-pyramid.” (3) By analyzing the influencing factors, it can be found that economic foundation and support from the government policies are important guarantee for corporate innovation. The effects of the factors such as the industrial structure, the local higher education resources and the FDI are significantly differentiated in different regions.

【Keywords】 urban cluster; corporate innovation; spatial-temporal pattern; polycentric; hierarchical structure; spatial panel metrics;


【Funds】 National Natural Science Foundation of China (41471108)

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    [1]. (1) Urban clusters in the Beijing-Tianjin-Hebei region cover Beijing, Tianjin, Shijiazhuang, Tangshan, Qinhuangdao, Xingtai, Baoding, Zhangjiakou, Chengde, Cangzhou, Langfang, and Hengshui. Urban clusters in the Yangtze River Delta cover Shanghai, Nanjing, Wuxi, Changzhou, Suzhou, Nantong, Yancheng, Yangzhou, Zhenjiang, Taizhou, Hanghzou, Ningbo, Jiaxing, Huzhou, Shaoxing, Jinhuan, Zhoushan, Taizhou, Hefei, Wuhu, Maanshan, Tongling, Anqing, Chuzhou, Chizhou, and Xuancheng. Urban clusters in the Pearl River Delta cover Guangzhou, Shenzheng, Zhuhai, Foshan, Dongguan, Zhongshan, Jiangmen, Zhaoqing, Huizhou, Shanwei, Qingyuan, Yunfu, Heyuan, and Shaoguan.


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This Article



Vol 38, No. 12, Pages 111-118

December 2018


Article Outline



  • 1 Data and research methods
  • 2 The spatial-temporal evolution of the innovation of enterprises in Beijing-Tianjin-Hebei region, Yangtze River Delta and Pearl River Delta
  • 3 Analysis of factors influencing the innovation output by spatial metric analysis
  • 4 Conclusion and discussion
  • Footnote