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广东省物流需求与物流资源配置的均衡研究

Equilibrium study of logistics demand and logistics resource allocation in Guangdong Province.

作者信息

Lianhua Liu, Yanling Wu, Shiqi Lyu, Zexian Chen

机构信息

Guangzhou Huashang College, Guangzhou, 511300, Guangdong, China.

Guangdong University of Finance and Economics, Guangzhou, 511300, Guangdong, China.

出版信息

Sci Rep. 2025 Jan 30;15(1):3805. doi: 10.1038/s41598-025-88504-4.

DOI:10.1038/s41598-025-88504-4
PMID:39885327
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11782670/
Abstract

Logistics serve as a vital link between production and consumption. The balanced allocation of logistics demand and resources can promote the harmonious development of the logistics system, thereby fostering regional economic growth. As a leading region in China's reform and opening-up, Guangdong Province has experienced high economic growth. The equitable allocation of logistics demand and resources within a province is crucial for sustaining its economic development. This paper investigates the regional characteristics of logistics demand and resource allocation in Guangdong Province by analyzing the spatial distribution and evolutionary trends of logistics demand alongside the equilibrium of logistics resource allocation. First, the entropy weight method is utilized to examine the development trends of logistics demand and resource levels in Guangdong Province. Second, spatial autocorrelation analysis is applied to the spatiotemporal evolution characteristics of logistics demand across various cities in Guangdong Province for the years 2011, 2016, and 2021. Using 2021 cross-sectional data, an inconsistency index, which is based on geographic concentration, is employed to assess the mismatch between logistics demand and resource allocation across cities in Guangdong. The study reveals that logistics demand in Guangdong Province has been steadily increasing, with significant regional disparities. The spatial distribution exhibited a degree of correlation, with clustering patterns. However, logistics resource allocation remains imbalanced, with a certain degree of correspondence to logistics demand levels. Specifically, areas with higher logistics demand tend to have a higher concentration of logistics resources. The Pearl River Delta region holds the most abundant logistics resources, whereas many cities in northern and western Guangdong face severe shortages and are unable to meet the normal logistics demand.

摘要

物流是生产与消费之间的重要纽带。物流需求与资源的均衡配置能够促进物流系统的协调发展,进而推动区域经济增长。作为中国改革开放的先行地区,广东省经济增长迅速。省内物流需求与资源的合理配置对于其经济的持续发展至关重要。本文通过分析物流需求的空间分布与演变趋势以及物流资源配置的均衡情况,研究广东省物流需求与资源配置的区域特征。首先,运用熵权法考察广东省物流需求和资源水平的发展趋势。其次,对2011年、2016年和2021年广东省各城市物流需求的时空演变特征进行空间自相关分析。利用2021年的横截面数据,采用基于地理集中度的不一致指数来评估广东省各城市物流需求与资源配置之间的不匹配程度。研究表明,广东省物流需求呈稳步增长态势,但区域差异显著。空间分布呈现出一定的相关性和集聚特征。然而,物流资源配置仍不均衡,与物流需求水平存在一定程度的对应关系。具体而言,物流需求较高的地区往往物流资源集中度也较高。珠江三角洲地区拥有最为丰富的物流资源,而粤北和粤西的许多城市则面临严重短缺,无法满足正常的物流需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/6fc977b507fb/41598_2025_88504_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/d1041a02145f/41598_2025_88504_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/d8ee60a89c0e/41598_2025_88504_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/c60601fff0ec/41598_2025_88504_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/172adb5bd618/41598_2025_88504_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/b14d3b015216/41598_2025_88504_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/6fc977b507fb/41598_2025_88504_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/d1041a02145f/41598_2025_88504_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/d8ee60a89c0e/41598_2025_88504_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/c60601fff0ec/41598_2025_88504_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/172adb5bd618/41598_2025_88504_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/b14d3b015216/41598_2025_88504_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f81f/11782670/6fc977b507fb/41598_2025_88504_Fig6_HTML.jpg

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本文引用的文献

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