Evidence map›Paper›PMID 41026773›Full record

ArticlePloS one2025

How can county-level industrial clusters in China promote urban-rural integration?-A study on the configuration effects based on fsQCA.

Gaoyang Liang, Mingqiang Xing, Jianqiang Zhao

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Gaoyang LiangSchool of Public Administration, Hebei University of Economics and Business, Shijiazhuang, Hebei, China.ORCID 0009-0005-4203-6313
Mingqiang XingSchool of Management, Xi'an Jiaotong University, Xi'an, Shanxi, China.
Jianqiang ZhaoSchool of Public Administration, Hebei University of Economics and Business, Shijiazhuang, Hebei, China.

Funding

Science Research, Project of Hebei Education Department:“Study on the Driving Mechanism and Nurturing Pathways of Hebei’s County Economy to Promote Urban-Rural Integration” BJS2024032
6 · The paper itself

Abstract

This study explores how county-level industrial clustering in China promotes urban-rural integration by identifying four key pathways: industrial linkage, technology transfer, employment coordination, and service balance. Drawing on a dataset of 343 counties from 2013 to 2023 and applying fuzzy-set Qualitative Comparative Analysis (fsQCA), the research uncovers the configuration effects of these mechanisms. The results reveal three primary models: the industry-technology-employment-driven model, the industry-employment-driven model, and the industrial linkage-dominant model. Further, configuration analyses by cluster type indicate that industrial linkage and service balance are central in agriculture-oriented clusters; employment coordination and technology transfer are critical in industry-oriented clusters; and service balance and employment coordination jointly drive integration in service-oriented clusters. Temporal analysis over the past decade demonstrates a steady strengthening of industrial linkage, a rapid increase in technology transfer, persistently high levels of employment coordination, and gradual improvement in service balance. These findings provide new insights into the multi-pathway dynamics of urban-rural integration and inform differentiated policy approaches based on cluster types.

Indexed as

IndustryRural PopulationUrban PopulationAgricultureChinaCluster AnalysisEmploymentHumans

Identifiers

PMID41026773
PMCPMC12483206

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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.