地理科学 ›› 2018, Vol. 38 ›› Issue (11): 1759-1768.doi: 10.13249/j.cnki.sgs.2018.11.003

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中国城市创新网络的时空复杂性及生长机制研究

段德忠1,2(), 杜德斌1,2, 谌颖2, 翟庆华1,2()   

  1. 1.华东师范大学全球创新与发展研究院,上海 200062
    2.华东师范大学城市与区域科学学院,上海 200062
  • 收稿日期:2017-11-11 修回日期:2018-01-23 出版日期:2018-11-20 发布日期:2018-11-20
  • 作者简介:

    作者简介:段德忠(1989-),男,江苏溧阳人,博士后,主要从事创新地理学研究。E-mail: dezhong_tuan@163.com

  • 基金资助:
    国家自然科学基金项目(41471108)、上海哲学社会科学规划项目 (2018EJL003)资助

Spatial-temporal Complexity and Growth Mechanism of City Innovation Network in China

Dezhong Duan1,2(), Debin Du1,2, Ying Chen2, Qinghua Zhai1,2()   

  1. 1. Institute for Global Innovation and Development, East China Normal University, Shanghai 200062, China
    2. School of Urban and Regional Science, East China Normal University, Shanghai 200062, China
  • Received:2017-11-11 Revised:2018-01-23 Online:2018-11-20 Published:2018-11-20
  • Supported by:
    National Natural Science Foundation of China(41471108), Philosophical and Social Science Foundation of Shanghai(2018EJL003)

摘要:

以国家知识产权局专利转让记录为数据源,采用大数据挖掘与分析技术、空间分析技术、复杂网络模型和负二项回归模型,系统描绘了2001~2015年中国城市创新网络的拓扑结构、空间结构和生长机制。研究发现:中国城市创新网络规模迅速扩张,在两极分化下涌现出显著的小世界性和等级层次性,以北京、上海、深圳为核心的核心-边缘格局不断强化;以三角结构为基础的中国城市创新网络的四边形格局逐渐形成,京津、长三角、珠三角是中国城市专利转移的核心三角;中国城市创新网络的生长与城市科技创新实力显著相关,且受到地理距离的阻抗作用,凸显出强烈的地理邻近性,另外城市经济发展水平相似度和产业结构相似度也是影响城市创新网络生长的重要因素。

关键词: 专利转让, 城市创新网络, 结构异质性, 时空演化, 生长机制

Abstract:

At present, China’s city innovation system is gradually taking shape. As the core component of innovation resources, innovative technology represented by patents has become the focus of competition among all cities. Its gathering and diffusion channels urgently need to build a compatible city technology transfer system. The construction of a national technology transfer system in line with the law of science and technology innovation, the law of technology transfer and the law of industrial development is an inevitable choice for serving the strategy of innovation development. Based on data mining from National Intellectual Property Office of China, the heterogeneities and its evolution characteristics of city innovation network depicted by patent transfer in topology and space from 2001 to 2015 were sketched using lots of visualizing tools such as Pajek, Gephi, VOSviewer, ArcGIS, and so on. Topologically, from 2001 to 2015, with the increasing number of cities involved in technology transfer, China city innovation network has emerged a significant small-world feature with the smaller average path length and the extremely large cluster coefficient compared to its counterpart. In addition, the entire network presents a core- periphery structure with hierarchies, which dominated by Beijing, Shanghai and Shenzhen. Spatially, the quadrilateral pattern of China city innovation network based on the triangular structure is gradually formed. Last but not least, the growth mechanism of city innovation network were also verified by correlational analysis, negative binomial regression approach and gravity model of STATA. The growth of city innovation network in China is significantly related to the technological innovation strength represented by the number of patent application. The findings further confirm that geographical distance has weakened cross-city patents transfer. Meanwhile, the similarity of economic development and industrial structure between cities are also important factors influencing the growth of city innovation network.

Key words: patent transfer, city innovation network, structural heterogeneity, spatial-temporal evolution, growth mechanism

中图分类号: 

  • K902