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基于企业数据的中国汽车物流网络组织特征及影响因素分析
引用本文:宗会明,吕瑞辉.基于企业数据的中国汽车物流网络组织特征及影响因素分析[J].世界地理研究,2020,29(1):130-139.
作者姓名:宗会明  吕瑞辉
作者单位:西南大学地理科学学院,重庆400715;西南大学区域经济研究所,重庆400715;西南大学地理科学学院,重庆400715
基金项目:国家自然科学基金项目(41671159);重庆市教委哲社重大理论研究阐释专项课题重大项目(19SKZDZX08)
摘    要:物流活动及其空间组织是经济地理和交通地理共同的研究话题。本文基于汽车物流企业数据,选取137家典型汽车物流企业为研究样本,运用城市网络研究方法,分析了中国汽车物流组织网络的等级结构、空间分异和空间联系特征,并进一步应用回归模型,探讨汽车物流企业在区域尺度的空间分布及区位选址的影响因素。研究结果表明:区域尺度的中国城市汽车物流组织网络存在明显的金字塔型等级结构,可将其划分为全国性、区域性、次区域性、地方性枢纽城市和普通型城市五个等级;各节点城市组织能力空间分布不均,非均衡化发展特征明显,形成由东部沿海3个核心区和中西部2个高值区所构成的“3+2”空间分布格局;节点城市间基本形成以上海为核心,广州、北京、重庆、武汉城市间联系为骨干链条的密集联系网络,其核心网络结构与中国沿海经济带和长江经济带构成的“T”字型空间结构相吻合,网络联系呈现出从东部沿海向中西部地区递减、由城市群向周边地区递减的趋势。通过回归分析发现,城市经济发展水平、汽车物流市场需求和交通基础设施是影响区域尺度的中国汽车物流组织网络布局的重要因素。

关 键 词:企业网络  汽车物流  组织网络  空间结构  空间布局
收稿时间:2018-09-21
修稿时间:2018-11-28

Organization network of Chinese automobile logistics and its influencing factors from the perspective of enterprises data
Huiming ZONG,Ruihui LV.Organization network of Chinese automobile logistics and its influencing factors from the perspective of enterprises data[J].World Regional Studies,2020,29(1):130-139.
Authors:Huiming ZONG  Ruihui LV
Institution:School of Geographical Science, Southwest University, Chongqing 400715, China
Regional Development of Southwest University, Chongqing 400715, China
Abstract:Spatial organization of logistics activities has always been the common research topic of economic geography and transportation geography. Based on the data of automobile logistics companies, this paper selected 137 automobile logistics companies as research samples and used urban network methods to analyze the hierarchical structure, spatial differentiation, and spatial connection characteristics of organization network of automobile logistics. The regression model was further applied to explore the influencing factors of the spatial networks and locations of automobile logistics companies. The research results show that: the automobile logistics organization network in China shows pyramidal hierarchical structure, which can be divided into five levels: national, regional, sub-regional, local hub cities, and ordinary cities. The organization capacity of each node is uneven. It forms a “3+2” spatial clusters of automobile logistics consisting of three core regions in the eastern coast area and two high-value regions in the central and western parts of China. A dense network of links has been established with Shanghai as the core and links between cities in Guangzhou, Beijing, Chongqing and Wuhan. The core network structure is in line with the "T"-shaped spatial structure strategy formed by the coastal economic zone and the Yangtze River Economic Belt. The overall network connection shows a trend of decreasing from the eastern coast to the central and western regions and expanding from the urban clusters to the surrounding areas. Through regression analysis, it was found that the level of economic development, automobile logistics market demand, and transportation infrastructure are the main factors affecting the layout of organization network of automobile logistics in China.
Keywords:enterprise network  automotive logistics  organization network  spatial structure  spatial layout  
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