Evidence map›Paper›PMID 40090946›Full record

ArticleScientific reports2025

Research on the impact of smart logistics on the the manufacturing industry chain resilience.

Jianmin Du, Jingling Wang, Jun Liang, Ruilin Liang

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.

Jianmin DuSchool of Economics and Management, Guangxi Normal University, Guilin, 541004, China.
Jingling WangSchool of Economics and Management, Guangxi Normal University, Guilin, 541004, China.
Jun LiangSchool of Economics and Management, Guangxi Normal University, Guilin, 541004, China. dy618733@163.com.
Ruilin LiangFaculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa, 999078, Macau, China.

Funding

Guangxi Normal University YCSW2023135School of Economics and Management, Guangxi Normal University JGYJS2024005School of Economics and Management, Guangxi Normal University JGYJS2024014
6 · The paper itself

Abstract

The development history of smart logistics and smart manufacturing in China demonstrates a high degree of synergy. This study aims to analyze the impact, mechanisms, and heterogeneous performance of smart logistics on the manufacturing industry chain resilience. The analysis is based on panel data collected from 30 provinces in China, covering the period from 2012 to 2023. The empirical findings suggest a significant positive impact of smart logistics on the manufacturing industry chain resilience, and the research findings are relatively robust. This impact can be primarily attributed to the reduction of transaction costs and improvements in logistics efficiency. In a comparison of the impact relationships between the three different economic regions of the East, Center and West, it was found that the Eastern region had a stronger facilitating effect, the Central region had a less pronounced facilitating effect, and the Western region had a weaker facilitating effect relative to the Eastern region. Moreover, Intelligent logistics has a greater role in promoting the resistance and renewal of the manufacturing industry chain, and a relatively weaker role in promoting the recovery of the manufacturing industry chain. Futhermore, threshold test shows that, in terms of long-term dynamics, there is a threshold effect of smart logistics development on the enhancement of manufacturing industry chain toughness; at the same time, higher level of advanced industrial structure and innovation environment, smart logistics is conducive to the enhancement of manufacturing industry chain toughness level.

Indexed as

Logistics efficiencyManufacturing industry chain resilienceSmart logisticsTransaction cost

Identifiers

PMID40090946
PMCPMC11911421

What OpenQuestion holds

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Registered trials

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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.