Evidence map›Paper›PMID 39885327›Full record

ArticleScientific reports2025

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

Liu Lianhua, Wu Yanling, Lyu Shiqi, Chen Zexian

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Liu LianhuaGuangzhou Huashang College, Guangzhou, 511300, Guangdong, China.
Wu YanlingGuangzhou Huashang College, Guangzhou, 511300, Guangdong, China. wuyanling989265464@163.com.
Lyu ShiqiGuangdong University of Finance and Economics, Guangzhou, 511300, Guangdong, China.
Chen ZexianDesautels Faculty of Management, McGill University, Montreal, QC, Canada.

Funding

Guangzhou Huashang College 2022HSDS05
6 · The paper itself

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.

Indexed as

Equilibrium studyLogistics demandLogistics resourceSpatial evolution

Identifiers

PMID39885327
PMCPMC11782670

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.