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基于SNA的农村电商物流效率网络的空间结构特征分析

Analysis of spatial structure characteristics of rural e-commerce logistics efficiency network based on SNA

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对农村电商物流效率地区差异化问题进行研究,分析农村电商物流效率网络的空间结构特征.运用超效率松弛值测算(Slacks-Based Measure,SBM)模型测度中国2014-2021年30个省(自治区、直辖市)的农村电商物流效率,通过修正引力模型构建物流效率关联矩阵,并采用社会网络分析(Social Network Analysis,SNA)法分析农村电商物流效率.研究结果表明:中国农村电商物流效率总体呈波动上升态势;省市区之间物流效率联系较弱,区域异质性明显,形成整体网络结构复杂、局部线程稠密的农村电商物流效率空间关联网络;核心区与边缘区联系不够密切,呈"大分散、小集聚"分布格局.
The regional differentiation of rural e-commerce logistics efficiency is studied to analyze the spatial structural characteristics of rural e-commerce logistics efficiency network.The slacks-based measure(SBM)model of super-efficiency is used to measure the rural e-commerce logistics efficiency of 30 provinces(autonomous regions and municipalities directly under the central gov-ernment)in China from 2014 to 2021,and the logistics efficiency correlation matrix is constructed by modifying the gravity model and analyzing the rural e-commerce logistics efficiency by using the social network analysis(SNA)to analyze the logistics efficiency of rural e-commerce.The re-sults of the study show that:Chinas rural e-commerce logistics efficiency in general is fluctuating and rising;logistics efficiency between provinces and municipalities is weakly connected,regional heterogeneity is obvious,forming a spatial correlation network of rural e-commerce logistics effi-ciency with a complex overall network structure and dense local threads;the core area is not con-nected closely enough with the peripheral area,showing a"large dispersion,small agglomera-tion"distribution pattern.

rural e-commerce logistics efficiencyspatial network structuresuper-slacks-based measure modegravity modelsocial network analysis

李鹏飞、姚晓宇、毋建宏

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西安邮电大学 经济与管理学院,陕西 西安 710061

西安市数字经济与大数据应用国际科技合作基地,陕西西安 710061

西安邮电大学现代邮政学院,陕西西安 710061

农村电商物流效率 空间网络结构 超效率松弛值测算模型 引力模型 社会网络分析法

国家社会科学基金项目陕西省科技创新团队项目西安市科技计划项目西安市社会科学规划基金项目陕西省教育厅青年创新团队项目

23FGLB0052023-CX-TD-1322NYYF06124JX16922JP079

2024

10.13682/j.issn.2095-6533.2024.03.011

西安邮电大学学报
西安邮电学院

西安邮电大学学报

CSTPCD
影响因子：0.795
ISSN：1007-3264
年,卷(期)：2024.29(3)