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我国省域物流竞争力空间关联网络及其驱动因素研究 被引量:3

Spatial Correlation Network and Its Driving Factors of Competitiveness of Provincial Logistics Industry in China
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摘要 基于经济发展水平、物流需求、物流设施、物流信息化等代表性指标,利用修正的引力模型构建了31个省市的物流业竞争力的空间关联网络,并采用社会网络分析方法对其空间结构特征、驱动因素进行了实证分析。结果表明:我国省域物流业竞争力呈现“东强西弱”、“东密西疏”的空间格局,具有“核心—半核心—边缘”的分布特征;省域物流业竞争力空间分布可划分为四个子群,但普遍子群的密度不高;经济发展水平、社会消费品总额和空间邻近关系等因素共同影响着网络构建的格局。 Based on the index of economic level,logistics demand,logistics infrastructure and logistics informatization,the spatial association network of the 31 China's provincial logistics industry competitiveness was determined by adopting the modified gravity model.The structure characteristics and influence factors of the spatial association network were analyzed with social network analysis(SNA).The results show that the competitiveness of China's provincial logistics industry shows a spatial pattern of“strong in the East and weak in the west”and“intensive in the east and sparse in the west”,with the distribution features of“core-semi core-edge”;the spatial distribution of provincial logistics competitiveness can be divided into four subgroups and the density of subgroups is generally low;the economic development level,the total amount of consumer commodities and spatial proximity jointly drive the formation of the spatial correlation network.
作者 聂丞彬 杨中华 柳芙蓉 NIE Chengbin;YANG Zhonghua;LIU Furong(Evergrande School of Management,Wuhan University of Science&Technology,Wuhan 430065,China;Center for Service Science and Engineering,Wuhan University of Science&Technology,Wuhan 430065,China;Hubei Province Center for Industrial Policy and Management Research,Wuhan 430065,China)
出处 《物流科技》 2022年第8期11-15,共5页 Logistics Sci-Tech
基金 湖北省教育厅人文社会科学重点研究项目“学科交叉主题的可视化识别:以统计学学科为例”(17D009) 湖北省教育厅科学研究中青年人才项目“基于社会网络的高校协同创新实现路径分析”(Q20171112)。
关键词 修正的引力模型 物流业竞争力 社会网络分析(SNA) 二次指派程序(QAP) modified gravity model logistics competitiveness social network analysis quadratic assignment procedure
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