地理研究 ›› 2022, Vol. 41 ›› Issue (6): 1577-1592.doi: 10.11821/dlyj020210964

• 研究论文 • 上一篇    下一篇

基于三层级股权关系的长三角城市网络节点地位研究

高雅妮1,2,3(), 何丹1,2,3(), 高鹏4, 孙志晶5   

  1. 1.华东师范大学中国现代城市研究中心,上海 200062
    2.华东师范大学城市与区域科学学院,上海 200241
    3.华东师范大学中国行政区划研究中心,上海 200241
    4.上海师范大学全球城市研究院,上海 200234
    5.江苏省苏州中学校,苏州 215007
  • 收稿日期:2021-10-18 接受日期:2022-02-15 出版日期:2022-06-10 发布日期:2022-08-10
  • 通讯作者: 何丹(1971-),男,云南昆明人,博士,教授,博士生导师,研究方向为城市地理与区域规划。E-mail: dhe@re.ecnu.edu.cn
  • 作者简介:高雅妮(1998-),女,陕西延安人,硕士研究生,研究方向为城市地理与区域规划。E-mail: gaoyani5253@126.com
  • 基金资助:
    国家自然科学基金项目(41471138)

Node status of the Yangtze River Delta urban network: Through the lens of three-level equity relationship

GAO Yani1,2,3(), HE Dan1,2,3(), GAO Peng4, SUN Zhijing5   

  1. 1. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China
    2. School of Urban & Regional Science, East China Normal University, Shanghai 200241, China
    3. Center for Chinese Administrative Regionalization, East China Normal University, Shanghai 200241, China
    4. Institute of Global Cities, Shanghai Normal University, Shanghai 200234, China
    5. Suzhou High School of Jiangsu Province, Suzhou 215007, China
  • Received:2021-10-18 Accepted:2022-02-15 Published:2022-06-10 Online:2022-08-10

摘要:

如何更为精准地刻画流空间视角下城市网络节点地位,是城市网络研究的关注重点之一。本文以长三角地区县级空间单元为研究区域,采用全行业500强上市公司的“母-子-孙”三层级股权关系数据,构建有向加权网络来刻画长三角地区城市间投资联系水平;通过转变中心性与转变控制力对节点城市的网络地位进行分类;最后采用空间计量模型对长三角城市网络节点地位的影响因素进行测算和分析。研究发现:① 长三角城市网络节点地位呈现出“等级+网络”的特征。城市在网络中依旧呈等级分布;然而部分中小城市在网络中地位具有了上升通道,往往可利用资源禀赋使得其获得更高的网络地位,网络结构具有扁平化特征。② 长三角城市网络节点地位特征并没有完全遵循转变中心性与转变控制力的“高-高”“中-中”和“低-低”的匹配关系,而存在“高-中(低)”“中-高(低)”或“低-高(中)”的非匹配关系。③ 城市经济发展水平、人力资本、创新活力、产业结构、城市经营环境和公共服务设施配套情况等会对城市网络地位产生显著的影响。

关键词: 有向加权城市网络, 三层级股权关系, 转变中心性, 转变控制力, 空间计量模型

Abstract:

With industrialization and economic globalization, the network relationship of “time-space sharing” among cities is deepening, and “flow space” is gradually replacing “place space”. The strategic position of cities in the region and even the world affects the investment decisions of enterprises, thus affecting the spatial pattern of urban economy. Whether the status of city node presents a flat network feature or a hierarchical vertical feature has become one of the foci in urban network research. So how to more accurately describe the status of urban network nodes from the perspective of flow space is one of the focuses of urban network research. Taking the county-level spatial unit in the Yangtze River Delta as the research object, this paper uses the three-level equity relationship data of “parent-son-grandson” of the top 500 listed companies in the industry to construct a direct weighted network to describe the city investment network in the region. The network status of node cities is classified by alter-based centrality and alter-based power. Finally, the spatial econometric model is used to calculate and analyze the influencing factors of node status in the Yangtze River Delta urban network. The findings are as follows: (1) The node status of the urban network in the study area presents the characteristics of “rank + network”. The hierarchical characteristics of nodes are obvious. The network status of some small and medium-sized cities has been improved and the network structure has become flat. (2) The node status does not completely follow the “high-high”, “medium-medium” and “low-low” matching relationship, but there are “high-medium (low)”, “medium-high (low)” or “low-high (medium)” unmatching relationship. Non-matching relationship means that cities can obtain asymmetric urban network node status by virtue of natural, economic or political resource endowment. (3) The level of urban economic development, human capital, innovation vitality, industrial structure, urban operating environment and public service facilities have significant impacts on the status of the urban network. In other words, improving the level of urban economic development, ensuring the business environment of the city to attract investment, creating more employment opportunities and encouraging innovative and entrepreneurial projects to be rooted locally are some measures to enhance the node status of urban network.

Key words: directed weighted urban network, three-level equity relationship, alter-based centrality, alter-based power, spatial econometric model