关键词: 县域物流, 空间联系, 引力模型, 社会网络分析, 浙江省

Abstract:

With the development of internet and mobile Internet, both e-commerce and the spatial structure of county logistics have evolved rapidly. Based on the perspective of spatial linkage, this article combined methods of the gravity model and social network analysis to describe the spatial linkage characteristics and network structure of county logistics in Zhejiang Province. Conclusions are drawn as following: 1) The maximum gravitational line pattern of county-level logistics in Zhejiang Province is stable, but the overall gravitational line pattern in the core area has changed little, forming a logistics development pattern in which the core area is stable and the marginal area is still changing. The distribution of county logistics linkage networks in Zhejiang Province is relatively uneven in space. The logistics network of northeastern, eastern, southeastern and central counties in Zhejiang Province is more complex than that in southern Zhejiang and western Zhejiang. In the early stage, the county logistics space linkage network was only with simple structure, and it gradually developed into a network with a mature shape, which means the network complexity trend is increasingly prominent. Besides, if a county has a high level of e-commerce development, its county logistics level is also relatively high. 2) In the evolution process of potential energy of logistics spatial linkage, the potential energy value of logistics space in most counties has increased, which is affected by the level of economic development and transportation capacity. The potential energy value of most counties in northern Zhejiang and central Zhejiang is higher than that in western Zhejiang and southern Zhejiang. In addition, the spatial distribution of potential energy of logistics spatial linkage is gradually gathering from south to north, fitting the development level of e-commerce well. 3) It is clear that the county of Zhejiang Province is roughly divided into four subgroups, and the core members in the subgroup are roughly unchanged. The core counties in the first and second subgroups are more and more closely connected, while some counties are marginalized and gradually shift to the third and fourth subgroups. Moreover, due to the limitation of location and economic level, links between the third and fourth subgroups are relatively loose, lacking of the development kinetic energy and cohesion. The multi-center structure of the logistics network has been evolving stably and evenly. The municipal districts occupy a key position in the county logistics spatial linkage network, gradually forming four major logistics circles dominated by Hangzhou, Ningbo, Yiwu and Wenzhou.

Key words: county-level logistics, spatial linkage, gravity model, social network analysis, Zhejiang Province