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
李鹏飞 1姚晓宇 2毋建宏2
作者信息
- 1. 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
- 2. 西安邮电大学现代邮政学院,陕西西安 710061
- 折叠
摘要
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.
Abstract
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.
关键词
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Key words
rural e-commerce logistics efficiency/spatial network structure/super-slacks-based measure mode/gravity model/social network analysis引用本文复制引用
基金项目
国家社会科学基金项目(23FGLB005)
陕西省科技创新团队项目(2023-CX-TD-13)
西安市科技计划项目(22NYYF061)
西安市社会科学规划基金项目(24JX169)
陕西省教育厅青年创新团队项目(22JP079)
出版年
2024
NETL
NSTL
万方数据