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企业交易视角下京津冀城市群网络特征研究

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利用企业货物交易数据,通过社会网络及有向加权网络分析等方法解读京津冀城市群网络特征及影响因素.结果表明:(1)企业交易网络多对一的供需结构突出,国有企业带动上下游资源汇聚特征明显.(2)同城货物交易特征突出,城际交易形成以北京为核心,天津、石家庄为次核心,沧州、唐山、保定和廊坊为重要节点,其余为一般节点的等级结构.(3)整体网络以核心辐射为主,核心外围的层级式联系突出,水平多向联系的网络化程度不高,北京—天津、北京—石家庄联系最强;不对称性主要体现为石家庄对省内邻近京津的地区供给,京津与廊坊、保定等有较密切的双向贸易联系.(4)交易联系受城市间地理邻近、技术邻近、产业邻近、经济邻近、制度邻近及人口规模因素的影响.
Research on Network Structure of Beijing-Tianjin-Hebei Urban Agglomeration from the Perspective of Inter-enterprise Transaction Flow
Based on the data of the bulk commodity trading of companies, this paper integrates social network analysis, directed weighted network and QAP correlation analysis and regression analysis to reveal the spatial pat-tern and influencing factors of the network of Beijing-Tianjin-Hebei urban agglomeration. The results show that:(1) There is an obvious characteristic of multiple suppliers supplying one customer at the level of enterprise trans-action network, state-owned enterprises dominate the gathering of large amounts of resources from upstream and downstream. (2) The characteristics of urban self-supply are significant, it has formed four types of cities accord-ing to the transaction hierarchy structure:core city, sub-core city, important node city and general node city, Bei-jing plays a role of core city, sub-core cities are Tianjin and Shijiazhuang, important node cities are Cangzhou, Tangshan, Baoding, Langfang, and the rest is general node cities. (3) In the urban network, the characteristics of core are obvious, with prominent hierarchical connections of the"core-periphery"mode, and a low level of networ-king of horizontal and multi-directional connections, Beijing and Tianjin have the highest level of connection, Bei-jing and Shijiazhuang take second place. At the same time, Beijing and its surrounding cities also have close con-nection;The asymmetric connection is mainly reflected in the obvious supply of Shijiazhuang to cities in Hebei Province close to Beijing and Tianjin. In addition, Beijing and Tianjin have a close two-way trade relationship with Langfang and Baoding. (4) The urban trading network is affected by six aspects as followed, population size, eco-nomic proximity, geographical proximity and moderate technological proximity promote trade relations, while indus-trial proximity plays a significant restraining role. The provincial administrative boundaries of the Beijing-Tianjin-Hebei urban agglomeration don't significantly restrict the formation of intercity trade relations.

urban networkcorporate transactionssocial network analysisdirected weighted networkmulti-dimensional proximityBeijing-Tianjin-Hebei urban agglomeration

吉瑞、王彦开、李天琪、赵渺希、庞乾奎

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华南理工大学 建筑学院,广州510640

浙江工业大学 之江学院,浙江 绍兴312030

城市网络 企业交易 社会网络分析 有向加权网络 多维邻近性 京津冀城市群

中国工程院院地合作项目

2023-GD-15

2024

地域研究与开发
河南省科学院 地理研究所

地域研究与开发

CSTPCDCHSSCD北大核心
影响因子:1.698
ISSN:1003-2363
年,卷(期):2024.43(3)