首页|中国物流枢纽承载城市物流关联网络结构特征与驱动机制研究

中国物流枢纽承载城市物流关联网络结构特征与驱动机制研究

扫码查看
国家物流枢纽是物流体系的核心基础设施,准确刻画国家物流枢纽承载城市物流发展水平及关联网络演变特征有助于推进我国物流业的高质量发展,因此,选取社会网络分析方法揭示国家物流枢纽承载城市的物流关联网络拓扑特征,并运用二次指派程序识别驱动因素.研究发现:1.物流枢纽承载城市的物流发展水平自沿海向内陆呈阶梯递减格局,且差异明显,存在明显的"马太效应".2.物流关联网络中存在大量"弱关系",物流联系强度低,网络聚集现象明显,不同凝聚子群的稳定性不尽相同.3.城市经济发展水平、产业结构、空间邻近性、物流营运水平等因素有助于促进物流关联网络的形成,而政府政策及社会消费则对物流关联网络的形成呈现抑制作用.消除地区障碍、开拓对外渠道、重视多种因素综合影响有助于提升国家物流枢纽承载城市竞争力,进而促进现代物流枢纽网络体系的构建.
Study on the structural characteristics and driving mechanism of logistics networks in Chinese logistics hub cities
National logistics hubs are the core infrastructure of the logistics industry.Accurately portraying the level of logistics system development and the evolution characteristics of the associated network of cities that host national logistics hubs can help promote the high-quality development of China's logistics industry.Therefore,this study adopts the social network analysis method to reveal the topological characteristics of the logistics associated network of the cities hosting national logistics hubs,and uses the quadratic assignment procedure to identify the driving factors.The results show that:1.The logistics development level of hub cities shows a stepwise decreasing pattern from coastal areas to inland areas,and the difference is obvious,there is an obvious"Matthew effect".2.There are a large number of"weak relationships"in the logistics related network,with low logistics connection strength and obvious network aggregation phenomenon.The stability of different agglomerated subgroups varies.3.Factors,such as the level of urban economic development,industrial structure,spatial proximity,and the level of logistics operation,contribute to the formation of related networks,while government policies and social consumption inhibit the formation of logistics network.Eliminating regional barriers,expanding external channels and paying attention to the comprehensive influence of many factors can help enhance the competitiveness of logistics hub cities,thereby promoting the construction of modern logistics hub network systems.

national logistics hublogistics related networkgravity modelsocial network analysis

索琪、孙玉展、左佩

展开 >

青岛科技大学 经济与管理学院,山东 青岛 266061

国家物流枢纽 物流关联网络 引力模型 社会网络分析

教育部人文社会科学研究项目山东省自然科学基金项目

22YJA630078ZR2023MG059

2024

青岛科技大学学报(社会科学版)
青岛科技大学

青岛科技大学学报(社会科学版)

CHSSCD
影响因子:0.366
ISSN:1671-8372
年,卷(期):2024.40(2)