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中国省际物流产业发展的空间关联网络结构特征分析 被引量:3

The Characteristic Analysis of Spatial Correlation Network Structure of Provincial Logistics Industry's Development in China
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摘要 基于2005—2015年中国分省份数据,利用引力模型构建了空间关联网络,运用社会网络分析法全新解构了省际物流产业发展的空间网络关联特征。研究发现:中国省际物流产业发展的关联关系呈现出网络结构形态,网络稳定性逐步增强,但存在一定的等级属性,形成"核心-边缘"结构。上海、江苏、北京等省份点度中心度高,直接关联关系多,而上海、广东等沿海省份又处于网络核心位置,发挥着"中介"和"桥梁"作用。中国省际物流产业的发展可划分为四个板块,位于环渤海地区的北京、天津等省份属于"经纪人板块",位于长三角和珠三角的江苏、上海、广东等省份属于"主受益板块",位于华北和东北地区的吉林、河北等省份属于"双向溢出板块",其余省份属于"净溢出板块"。鉴于此,空间关联网络特征应成为政府制定协同发展战略的参考因素,同时应提高协同发展的质量和效率,促进物流产业发展形成稳定的空间关联网络。 Based on Chinese provincial data from 2005 to 2015,this paper constructs the spatial correlation network and deconstructs characteristics of spatial correlation network structure of provincial logistics industry by applying Gravity Mode and the method of Social Network Analysis.It is found out that logistics industry's development in China presents a network structure.Network stability has strengthened.However,it shows the"core-periphery"structure because of its hierarchical attribute.Shanghai,Jiangsu and Beijing have higher point degree and more direct correlations.Costal provinces such as Shanghai and Guangdong are located in the center of the network and play the roles of"middleman"and"bridge".Logistics industry's development in China can be divided into four blocks,Beijing,Tianjin and other provinces in Bohai Rim as"broker block",Jiangsu,Shanghai,Guangdong and other provinces in Yangtze River Delta and Pearl River Delta as"net beneficial block",Jilin,Hebei and other provinces in North China and Northeast China as "bidirectional spillover block",the rest are "net spillover block".Hence,characteristics of spatial correlation network should be references for government making coordinated development strategies.Meanwhile,government should improve the quality and efficiency of coordinated development to promote a stable spatial correlation network of logistics industry's development.
机构地区 常州大学商学院
出处 《常州大学学报(社会科学版)》 2017年第4期51-61,共11页 Journal of Changzhou University:Social Science Edition
基金 国家社会科学基金一般项目"基于应急供应链的救灾物资配送模糊决策与支持系统研究"(12BGL104) 教育部人文社会科学规划一般项目"供应链环境下物流系统和谐机制研究"(10YJA630223)
关键词 物流产业 空间关联 社会网络分析 logistics industry spatial correlation Social Network Analysis
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