RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2017, Vol. 26 >> Issue (06): 797-805.doi: 10.11870/cjlyzyyhj201706001

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ANALYSIS OF CITY NETWORK BASED ON INNOVATION COOPERATION:CASE STUDY OF YANGTZE RIVER ECONOMIC BELT

WANG Feng-long1,2, ZENG Gang1,2,3, YE Qin3, CHEN Hong-ting3   

  1. 1. Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China;
    2. Institute of Urban Development, East China Normal University, Shanghai 200062, China;
    3. School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
  • Received:2016-11-18 Revised:2017-02-01 Online:2017-06-20
  • Supported by:
    National Natural Science Foundation of China(41371147);National NaturalScience Foundation of China (41601144);Soft Science Research Project of Science and Technology Commission of Shanghai Municipality (15692100700);National Social Science Foundation of China (10ZD&016)

Abstract: Existing urban geographical studies on city network are mainly based on gravity models, visualization of transportation flows and inter-locking network models. However, these methods only provide a biased picture of the whole city network since they are either based on hypotheses in theoretical or empirical models or just a depiction of one specific aspect of inter-city connections. Moreover, the studies on world city network led by the GaWC group emphasize more of the hierarchical structure of city network than inter-city cooperation. This paper aims to explore a more efficient method to measure the inter-city cooperation based on the joint intellectual property data. The analysis of inter-city innovation cooperation may also provide insights into a new aspect of inter-city connections, which is complementary with previous studies focusing on transport network or head-branch relations of firms. Using the Yangtze River Economic Belt as a case, in this paper we found that the inter-city innovation cooperation was mainly inter-firm or intra-firm links, the university-firm cooperation only took a small proportion. We also revealed that innovation connections were dissymmetric between different levels of cities in terms of forms of cooperation and there were significant spatial differences among different regions. The innovation connection among cities followed the Zipf law and was positively yet not significantly related to that calculated based on the gravity model. The results from regression analysis suggest that inter-city innovation connections are influenced by the spatial distance, gap of administrative level and industrial similarity.

Key words: city network, innovation cooperation, gravity model, Zipf Law, Yangtze River Economic Belt

CLC Number: 

  • K901
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