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基于企业投资路径的城市网络结构演化研究

李周平 傅春 李远刚 刘小钰

热带地理2024,Vol.44Issue(7):1236-1248,13.
热带地理2024,Vol.44Issue(7):1236-1248,13.DOI:10.13284/j.cnki.rddl.20230815

基于企业投资路径的城市网络结构演化研究

Structure Evolution of Urban Network Through Enterprise Investment Routes:A Case Study of Yangtze River Delta

李周平 1傅春 2李远刚 1刘小钰3

作者信息

  • 1. 上海商学院 商务信息学院,上海 201400
  • 2. 上海市社会信用促进中心,上海 200021
  • 3. 上海数据交易所有限公司,上海 200131
  • 折叠

摘要

Abstract

Off-site investment relations among enterprises often bring the flow of capital,logistics,talent,information,and technology across cities,representing a new avenue for studying the urban network.Therefore,an increasing number of studies are investigating urban networks from the perspective of firm relations.Most of these studies mainly use data from intra-firm branches or mega firms'investment to quantify the linkages among cities.However,these studies have neglected the linkages among small-sized enterprises that are often located in small and medium-sized cities,resulting in the lack of authenticity in establishing urban networks.Recently,a small amount of research has begun to use wholesale enterprises'off-site investment data to construct urban networks.However,such research has neglected the indirect linkages and transit effects on enterprise investment routes.Therefore,this study uses investment data of all-industry enterprises from the Industrial and Commercial Enterprise Registration Database to propose a new method for establishing a directed weighted urban network by identifying off-site investment routes among enterprises,which could fill the gap in constructing urban networks from the perspective of micro capital flow.To verify the evolutionary characteristics of urban network structure before and after the implementation of major policies,this study considers the Yangtze River Delta as the empirical study area.Wholesale enterprise investment data from 2006 to 2020 in the Yangtze River Delta are used to construct three urban networks in three time stages.The main conclusions are as follows:(1)The growth model of the urban network scale shows that the growth of off-site investment routes drives the growth of off-site investment scale.The scale of enterprise nodes linked by off-site investment relations significantly increased from 2011 to 2015.However,after 2016,the proportion of off-site investment in the total investment of the Yangtze River Delta increased accordingly.(2)From the perspective of spatial patterns,the urban network of the study area has shifted from a polygonal network structure of interconnected core cities to a V-shaped structure centered around Shanghai,and then to a Z-shaped structure centered around Shanghai and Hangzhou.(3)In terms of network centrality,the cities exhibit a clear hierarchical structure.Although the network is evolving,the hierarchical structure has not changed significantly.However,the linkages between cities show a trend of clustering from low-to high-level cities.(4)In terms of network betweenness,the betweenness of most cities matches their centrality.Notably,the betweenness of Hefei and Wuhu is significantly stronger than their centrality.At different stages of the urban network evolution,cities with high betweenness,such as Shanghai,Hangzhou,and Hefei,play different intermediary roles in the network.This study constructs urban networks from a micro scale perspective of capital flow,thereby filling the gap in existing research.Additionally,unlike previous studies on urban networks that focus on static network structures,this study analyzes the structural evolution of urban networks based on long-term comprehensive data and verifies the characteristics of changes in the network structure,which has certain theoretical value and practical significance.

关键词

城市网络/企业投资路径/网络演化/网络中心性/网络中介性/长三角地区

Key words

urban network/enterprise investment routes/network evolution/network centrality/network betweenness/Yangtze River Delta

分类

社会科学

引用本文复制引用

李周平,傅春,李远刚,刘小钰..基于企业投资路径的城市网络结构演化研究[J].热带地理,2024,44(7):1236-1248,13.

基金项目

国家自然科学基金面上项目(72371162) (72371162)

上海市科技计划项目(23692106100) (23692106100)

热带地理

OA北大核心CSTPCD

1001-5221

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