长江流域资源与环境 >> 2018, Vol. 27 >> Issue (08): 1725-.doi: 10.11870/cjlyzyyhj201808008

• 区域可持续发展 • 上一篇    下一篇

 基于母子企业联系的上市公司网络结构研究——以长江中游城市群为例

钟业喜,傅  钰,朱治州,王晓静   

  1. (江西师范大学江西经济发展研究院/地理与环境学院,江西 南昌 330022)
  • 出版日期:2018-08-20 发布日期:2018-11-09

Network Structure of Listed Companies Based on the Relationship of Parent and Subsidiary Enterprises:A Case of the Middle Yangtze Urban Agglomeration

ZHONG Ye-xi ,FU Yu , ZHU Zhi-zhou , WANG Xiao-jing   

  1. (Jiangxi Institute of Economic Development /School of Geography and Environment, Jiangxi Normal University,Nanchang 330022,China)
  • Online:2018-08-20 Published:2018-11-09

摘要:  基于2014年长江中游城市群上市公司数据,借助社会网络分析法对母子公司联系视角下该地区企业网络特征进行深入分析。结果如下:(1)长江中游城市群企业对内联系网络密度较低,整体企业网络联系较弱,该网络呈现出明显的核心—边缘结构;(2)省会城市在长江中游城市群中集聚与扩散效应突出,中心城市带动作用显著;城市中介性极化现象严重,长沙、武汉中介作用突出;企业与投资目的地之间交通距离短、通达性较高;(3)企业对外联系总体网络处于低联系、初级发展水平;(4)层级网络显示企业低等级联系多集中于周边省份及地理临近地区,最高等级联系指向高等级城市;网络等级越低,网络格局呈现更为分散交织的复杂形态;节点城市关联方向上显现出明显的差异化特征。
关键词: 格局特征;上市公司;社会网络分析;长江中游城市群

Abstract: By applying the social network analysis, this article analyzes the characteristics of enterprise network in the perspective of parent-subsidiary corporation contact based on the mid-Yangtze urban agglomeration listed company data of year 2014. The results are as follows. (1) In the mid-Yangtze urban agglomeration, the enterprise network is low, the overall enterprise network is weak and the network presents an core-periphery structure obviously. (2) The provincial capital citieshave the prominent effect of agglomeration and diffusion in the middle Yangtze urban agglomeration, and the central city driving effects is remarkable; It is serious for the urban intermediary polarization with that Changsha and Wuhan are prominent in the intermediation. Besides, the transport distance between the enterprise and the investment destination is short, and the accessibility is at a higher level. (3) The overall network of enterprise external contact is in low connection and initial development level. (4) Hierarchical network shows that low-level enterprises are mainly concentrated in the surrounding provinces and geographical proximity areas, the highest level of contact points to high-hierarchy citys. The lower the network level, the more complex the network. Node cities in the direction of association showed significant differences.
Key words:Pattern characteristics;listed companies; Social network analysis;  Middle Yangtze urban agglomeration

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