地理研究 ›› 2018, Vol. 37 ›› Issue (5): 981-994.doi: 10.11821/dlyj201805010

• 研究论文 • 上一篇    下一篇

基于专利转移网络视角的长三角城市群城际技术流动的时空演化

刘承良1,2,3(), 管明明1   

  1. 1. 华东师范大学城市与区域科学学院,上海 200241
    2. 华东师范大学全球创新与发展研究院,上海 200062
    3. 华东师范大学崇明生态研究院,上海 200062
  • 收稿日期:2017-10-10 修回日期:2018-04-18 出版日期:2018-05-20 发布日期:2018-06-26
  • 作者简介:

    作者简介:刘承良(1979- ),男,湖北武汉人,教授,博士,博士生导师,主要从事经济地理复杂性研究,聚焦交通和创新网络空间复杂性领域。E-mail: clliu@re.ecnu.edu.cn

  • 基金资助:
    国家自然科学基金项目(41571123)上海市软科学研究重点项目(17692103600)

Spatio-temporal evolution of interurban technological flow network in the Yangtze River Delta Urban Agglomeration: From the perspective of patent transaction network

Chengliang LIU1,2,3(), Mingming GUAN1   

  1. 1. School of Urban and Regional Sciences, East China Normal University, Shanghai 200241, China
    2. Institute for Global Innovation and Development, East China Normal University, Shanghai 20062, China
    3. Institute of Eco-Chongming, East China Normal University, Shanghai 200062, China
  • Received:2017-10-10 Revised:2018-04-18 Online:2018-05-20 Published:2018-06-26
  • About author:

    Author: Shi Zhenqin (1988-), PhD, specialized in regional development and land space management in mountain areas. E-mail: kevinszq@163.com

    *Corresponding author: Deng Wei (1957-), Professor, specialized in mountain environment and regional development.

    E-mail: dengwei@imde.ac.cn

摘要:

基于2004-2015年的专利交易数据,融合大数据挖掘技术、社会网络分析等方法,系统刻画长三角城市群内部技术流动的主体、客体、网络的时空演化规律:① 企业是技术流动的主体,高校、科研机构技术输出有限;主体倾向内部技术流通,外溢不足;专利类型由外观设计型向发明型、实用新型转变,部类结构保持均衡稳定。② 上海、杭州、南京、苏州作为技术流动网络的核心节点,由技术辐合向扩散中心转化,合肥、南通、嘉兴等是主要技术转入地。③ 技术流集散交互,以高等级城市向低等级城市转移和空间邻近城市相互作用为主导,呈现等级扩散和接触扩散耦合态势。④ 技术流动空间分布不均衡,马太效应明显,城市链接对象不断延伸,地方依赖与路径创造并存。⑤ 技术流动网络的空间结构呈现离散均质—单中心(上海)集散—双核(上海、苏州)驱动—多核心轴辐式(上海、苏州、杭州、南京)的演化规律。

关键词: 技术流动, 专利权转移, 时空演化, 社会网络, 长三角城市群

Abstract:

Taking the Yangtze River Delta Urban Agglomeration as an example, based on the perspective of patent transaction network and applying the big-data mining technology, social network analysis and GIS, this paper describes the regular laws of the spatiotemporal evolution of the interurban technological flow network systemically. The results are obtained as follows: First, enterprise is the main body of interurban technological transfer, while universities and institutes play a minor role in the patent transferring relationship. Besides, technological transfer tends to generate in an internal system, instead of spillovers outside. What's more, the patent related to appearance designs is less than innovative patent and utility-oriented patent. Second, as the diffusion centers of the interurban technological flow network under a hub-and-spoke organization, Shanghai, Hangzhou, Nanjing and Suzhou make a transfer from technical convergences to technical centers. Furthermore, Hefei, Nantong and Jiaxing become the main technological absorbers. Third, two diffusion models in the interurban technological flow network are observed. One is hierarchical diffusion model from hubs towards lower-tier cities or sub-centers. The other is contacting diffusion models and technological flows have emerged between those neighboring city pairs because of spatial proximity. Fourth, interurban technological transfers are not well distributed. Under the Matthew Effect, the dynamics of the technological flow network is self-organized with the coupling mechanism including place dependence and path creation. Finally, the spatial evolution of the network presents an evolutionary law from discrete homogeneity with single core (e.g., Shanghai) to dual-hub driven pattern (i.e., Shanghai and Suzhou) to multi-core network with a hub-and-spoke system (e.g., Shanghai, Suzhou, Hangzhou and Nanjing).

Key words: technological flow, patent transaction network, spatiotemporal evolution, social network analysis, Yangtze River Delta Urban Agglomeration