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长三角城市群产业联动网络结构特征及影响因素分析

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产业联动对推动长三角区域一体化进程具有重要意义.基于2011-2021 年长三角城市群数据,利用修正的引力模型和社会网络分析法探究产业联动网络的结构特征和影响因素.研究表明:(1)长三角城市群内部存在明显的产业联动路径并形成了空间关联网络;(2)核心城市和中心城市中心度较高,点出度较高的城市呈现向上海集聚的趋势,点入度较高的城市呈现由上海向外扩散的趋势;(3)网络呈现"小世界"结构特征;凝聚子群内城市分布由相对集中走向分散,即产业联动逐渐打破省份和地域边界限制;(4)产业结构、经济发展水平、交通发展水平和创新发展水平的差异促进了产业联动网络的形成.因此,应充分发挥长三角中心区城市带动作用,引导长三角产业合理布局,并加强区域间技术创新合作,从而促进长三角一体化发展.
Analysis of Structural Characteristics and Influencing Factors of Industrial Linkage Network of Yangtze River Delta Urban Agglomeration
Industrial linkage is of great significance for promoting the process of regional integration in the Yangtze River Delta.Based on the data of the Yangtze River Delta urban agglomeration from 2011 to 2021,the modified gravity model and social network analysis method are used to explore the structural characteristics and influencing factors of the industrial linkage network.The results show that:(1)There is a significant industrial linkage path and a spatial correlation network within the Yangtze River Delta urban agglomeration.(2)There is a higher degree of centralityin core cities and central cities,and the cities with a higher out-degree show a trend of agglomeration to Shanghai,while the cities with a higher in-degree show a trend of diffusion from Shanghai.(3)The network is characterized by"small world"structure.The composition of cities in the agglomeration subgroup is moving from being relatively concentrated to dispersed,that is,the industrial linkage gradually breaks the restrictions of prov-inces and regional boundaries.(4)The differences in industrial structure,economic development level,transpor-tation development level and innovation development level promote the formation of industrial linkage network.Therefore,it is necessary to give full play to the leading role of cities in the central area of the Yangtze River Del-ta,guide the rational layout of industries in the Yangtze River Delta,and strengthen inter-regional cooperation in technological innovation,so as to promote the integrated development of the Yangtze River Delta.

industrial linkagegravity modelsocial network analysisinfluencing factors

孙伟、杨静

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安徽建筑大学 经济与管理学院,合肥 230022

产业联动 引力模型 社会网络分析 影响因素

2024

安徽理工大学学报(社会科学版)
安徽理工大学

安徽理工大学学报(社会科学版)

CHSSCD
影响因子:0.233
ISSN:1672-1101
年,卷(期):2024.26(3)