产业经济与创新发展

中国物流产业智慧化空间联系的网络结构及其影响因素

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  • 东北师范大学 经济与管理学院,中国吉林 长春 130117
谷城(1994—),男,博士研究生,研究方向为区域经济与智慧物流。E-mail:gubye6@163.com

收稿日期: 2022-09-21

  修回日期: 2023-03-22

  网络出版日期: 2023-07-03

基金资助

国家社会科学基金项目(18BJY180)

Network Structure and Influencing Factors of Spatial Connection in the Intelligence of China's Logistics Industry

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  • Business School,Northeast Normal University,Changchun 130117,Jilin,China

Received date: 2022-09-21

  Revised date: 2023-03-22

  Online published: 2023-07-03

摘要

智慧物流是现代供应链的重要支撑,对中国深度参与全球产业链、价值链分工合作具有关键作用。文章以2006—2020年中国30个省域为研究对象,运用熵权与变异系数综合赋权法、修正的引力模型、社会网络分析法、地理探测器探究物流产业智慧化空间联系的网络结构及影响因素。结果表明:①物流产业智慧化空间联系强度逐年递增,但整体联动效应不足。在空间分布中,物流产业智慧化空间联系强度具有“俱乐部趋同”特征,且东中西区域空间联系强度呈现显著的梯度递减态势。②随时间推移,物流产业智慧化空间联系强度的网络结构由简单稀疏向复杂化转变,空间格局表现为“东密西疏”特点。此外,物流产业智慧化空间联系强度的网络效率不断下滑,地区间关联关系处于不协调发展阶段。③不同驱动因素对物流产业智慧化空间联系强度的影响存在异质性,驱动因素的影响能力从大到小依次为:创新能力、经济发展、教育程度、对外开放、产业结构、政府调控、交通基础和资产投入。并且,组合后交互因子的影响力实现了双因子增长。

本文引用格式

谷城, 张树山 . 中国物流产业智慧化空间联系的网络结构及其影响因素[J]. 经济地理, 2023 , 43(5) : 117 -127 . DOI: 10.15957/j.cnki.jjdl.2023.05.013

Abstract

Intelligent logistics is an important support for the modern supply chains and plays a key role in China's deep involvement in the global industrial and value chain division of labor and cooperation. This study takes 30 provincial units in China from 2006 to 2020 as the research objects, and explores the network structure and influencing factors of the spatial connection in the intelligence of the logistics industry by using a range of methods,including the entropy weight and the coefficient of variation integrated assignment method,the modified gravity model,the social network analysis method and the geographical detector. The results show that: 1) The spatial connection intensity in the intelligence of the logistics industry has increased over time,yet the overall connection effect remains insufficient. In terms of spatial distribution,the spatial connection intensity in the intelligence of the logistics industry which displays a characteristic of "club convergence" shows a significant layer decreasing trend in the eastern,central and western regions. 2) The network structure of the spatial connection intensity in the intelligence of the logistics industry changes from the simple and sparse characteristic to the complex characteristic over time,and the spatial pattern is characterized by "density in the east and sparsity in the west". In addition,the network efficiency of the spatial connection intensity in the intelligence of logistics industry is declining,and the inter-regional connection is at the stage of uncoordinated development. 3) The research reveals that there is heterogeneity in the influence of different driving factors on the spatial connection intensity in the intelligence of logistics industry. And the influence ability of the driving factors are,in descending order,innovation ability,economic development,education level,openness to the outside world,industrial structure,government regulation and control,transportation infrastructure and asset investment. Moreover,the influence of the interaction factors after the combination achieves a two-factor growth.

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