摘要
选取2011-2020年中国31个省份为研究对象,运用非期望产出模型计算智慧物流效率,引入修正引力模型构建智慧物流效率空间关联网络,采用社会网络分析法探究智慧物流效率空间关联网络结构演化特征,运用逐步线性回归法探究智慧物流网络结构对智慧物流效率的影响。结果表明:1)整体上各省份之间的智慧物流效率空间联系已不受地理位置限制,但整体网络密度较低,各省份之间联系不够紧密;网络效率偏高,各省份之间冗余的联系过多;网络等级度呈现缓慢波动稳定的态势,各省份之间的联系较为稳定。2)研究期内,各中心度指数整体变化缓慢,江苏、山东和广东处于网络核心地位,在智慧物流效率空间关联网络中与其他省份发展交往能力较强;中国智慧物流效率存在明显的俱乐部趋同效应,初期智慧物流发展处于滞后区的省份在之后的发展中仍滞后。3)中国省域智慧物流效率“核心-边缘”特征明显,核心区域聚集分布在东部地区和中部地区;随时间推移,各省份之间相互作用强度逐渐加强。4)从整体网结构效应来看,网络密度和网络等级度对智慧物流效率有显著影响;从个体网结构效应来看,接近中心度、点出度和中间中心度对智慧物流效率有显著影响。研究可为探究物流业网络关系和政策制定提供参考。
Selecting 31 provinces in China from 2011 to 2020 as the research objects,the undesirable output model was used to calculate the intelligent logistics efficiency;the modified gravity model was introduced to construct the spatial correlation network of intelligent logistics efficiency;the social network analysis method was used to explore the characteristics of the evolution of the spatial correlation network structure of intelligent logistics efficiency;and the stepwise linear regression method was used to explore the impact of the structure of the intelligent logistics network on its efficiency.The results show that:1)The spatial connection of intelligent logistics efficiency among provinces in China is not constrained by their geographical location,but the overall network density is low and connection effect remains insufficient.The network displays high efficiency,with too many redundant links between the provinces.The network degree depicts a gradual and stable trend and the connection between provinces is relatively stable.2)During the study period,the overall change of each centrality index is slow.Jiangsu,Shandong and Guangdong were at the core of the network,and had strong communication ability with other provinces in the spatial correlation network of intelligent logistics efficiency.The intelligent logistics efficiency of China displays an obvious characteristic of club convergence,showing that the provinces in the lagging area of the initial development of intelligent logistics are still lagging behind in the subsequent development.3)The"core-edge"characteristics of China′s provincial intelligent logistics efficiency are obvious,and the core regions are concentrated in the eastern and central regions and the intensity of interaction between provinces has gradually strengthened over time.4)From the global network structure effect,network density and network degree have a significant impact on the intelligent logistics efficiency.From the individual structure effect,closeness centrality,point-out degree and betweenness centrality have a significant impact on the intelligent logistics efficiency.The research could provide reference for exploring the network relationship and policy formulation of logistics industry.
作者
韩欢欢
王宁宁
王勤升
贾思琪
冯尊
HAN Huanhuan;WANG Ningning;WANG Qinsheng;JIA Siqi;FENG Zun(School of Information Management,Beijing Information Science&Technology University,Beijing 100192,China)
出处
《北京信息科技大学学报（自然科学版）》
2024年第1期83-90,共8页
Journal of Beijing Information Science and Technology University
基金
中国科学院重大课题(20210028)
北京市教委社科计划一般项目(SM202011232008)。
关键词
智慧物流
物流效率
社会网络分析
非期望产出模型
回归分析
intelligent logistics
logistics efficiency
social network analysis
undesirable output model
regression analysis
