中国地理科学 ›› 2015, Vol. 25 ›› Issue (4): 498-510.doi: 10.1007/s11769-014-0731-0

• 论文 • 上一篇    下一篇

Structure of Chinese City Network as Driven by Technological Knowledge Flows

MA Haitao1, FANG Chuanglin1, PANG Bo1,2, WANG Shaojian1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • 收稿日期:2014-04-28 修回日期:2014-08-11 出版日期:2015-04-27 发布日期:2015-07-30
  • 通讯作者: FANG Chuanglin. E-mail: fangcl@igsnrr.ac.cn E-mail:fangcl@igsnrr.ac.cn
  • 基金资助:

    Under the auspices of Major Project of National Social Science Foundation of China (No. 13&ZD027), National Natural Science Foundation of China (No. 41201128, 71433008)

Structure of Chinese City Network as Driven by Technological Knowledge Flows

MA Haitao1, FANG Chuanglin1, PANG Bo1,2, WANG Shaojian1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2014-04-28 Revised:2014-08-11 Online:2015-04-27 Published:2015-07-30
  • Contact: FANG Chuanglin. E-mail: fangcl@igsnrr.ac.cn E-mail:fangcl@igsnrr.ac.cn
  • Supported by:

    Under the auspices of Major Project of National Social Science Foundation of China (No. 13&ZD027), National Natural Science Foundation of China (No. 41201128, 71433008)

摘要:

Based on patent cooperation data, this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge flows. The results revealed the spatial structure, composition structure, hierarchical structure, group structure, and control structure of Chinese city network, as well as its dynamic factors. The major findings are: 1) the spatial pattern presents a diamond structure, in which Wuhan is the central city; 2) although the invention patent knowledge network is the main part of the broader inter-city innovative cooperation network, it is weaker than the utility model patent; 3) as the senior level cities, Beijing, Shanghai and the cities in the Zhujiang (Pearl) River Delta Region show a strong capability of both spreading and controlling technological knowledge; 4) whilst a national technology alliance has preliminarily formed, regional alliances have not been adequately established; 5) even though the cooperation level amongst weak connection cities is not high, such cities still play an important role in the network as a result of their location within 'structural holes' in the network; and 6) the major driving forces facilitating inter-city technological cooperation are geographical proximity, hierarchical proximity and technological proximity.

关键词: technological knowledge flows, patent cooperation, city networks, network structure, structure holes, cohesive subgroup

Abstract:

Based on patent cooperation data, this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge flows. The results revealed the spatial structure, composition structure, hierarchical structure, group structure, and control structure of Chinese city network, as well as its dynamic factors. The major findings are: 1) the spatial pattern presents a diamond structure, in which Wuhan is the central city; 2) although the invention patent knowledge network is the main part of the broader inter-city innovative cooperation network, it is weaker than the utility model patent; 3) as the senior level cities, Beijing, Shanghai and the cities in the Zhujiang (Pearl) River Delta Region show a strong capability of both spreading and controlling technological knowledge; 4) whilst a national technology alliance has preliminarily formed, regional alliances have not been adequately established; 5) even though the cooperation level amongst weak connection cities is not high, such cities still play an important role in the network as a result of their location within 'structural holes' in the network; and 6) the major driving forces facilitating inter-city technological cooperation are geographical proximity, hierarchical proximity and technological proximity.

Key words: technological knowledge flows, patent cooperation, city networks, network structure, structure holes, cohesive subgroup