多尺度视角下中国城市创新网络格局及邻近性机理分析

doi:10.13959/j.issn.1003-2398.2020.01.011

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Abstract Actively cultivating and constructing urban innovation network has become the key to promote the development of higher quality economy for country and region. This paper using the co-patent data of the SIPO to construct the city innovation network. Then, depicting its structure of three spatial scales (country, inter-region and province) based on the complex network and spatial analysis methods, and analyzing the proximity mechanism of innovation cooperation based on negative two regression method. The research finds that:1) the overall connection of the national innovation network is weak and the network polarization is obvious. The spatial structure shows a radial network with Beijing as the core, Shanghai, Shenzhen, Nanjing, Hangzhou and Fuzhou as the main nodes. In the south China, Shanghai, Nanjing, Suzhou, Hangzhou, Nanchang, Shenzhen and other cities have formed a number of innovation cooperation loops. The interregional innovation network is stronger than that of intra-regional network at sub-region scale. A heterogeneous spatial structure centered on regional central cities is formed in every sub-region. 2) Regression results confirm that geographical proximity, social proximity and technological proximity play a significant role in promoting urban innovative networking. Among them, geographical proximity plays a significant role in promoting proximity, followed by technological proximity and social proximity. The moderating effect of technological proximity and geographical proximity is not significant, the moderating effect of technological proximity and social proximity is significantly positive, and the moderating effect of social proximity and geographical proximity is not significant.

Key words： multi-scale urban innovation network pattern proximity

Received: 03 April 2019

PACS:

F129.9

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	MA Shuang
	ZENG Gang

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MA Shuang,ZENG Gang. ANALYSIS OF CHINA'S URBAN INNOVATION NETWORK PATTERN AND ITS PROXIMITY MECHANISM FROM A MULTI-SCALE PERSPECTIVE[J]. HUMAN GEOGRAPHY, 2020, 35(1): 95-103.

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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2020.01.011 OR http://rwdl.xisu.edu.cn/EN/Y2020/V35/I1/95

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