Evidence map›Paper›PMID 41557607›Full record

ArticlePloS one2026

Digital inclusion and urban-rural integration: Mechanisms and regional heterogeneity in China.

Ximing Qiu, Ming Yu, Xia Chen

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Ximing QiuCollege of Public Administration and Law, Hunan Agricultural University, Changsha, China.
Ming YuCollege of Public Administration and Law, Hunan Agricultural University, Changsha, China.
Xia ChenHunan Urban Professional College, Changsha, China.ORCID https://orcid.org/0009-0009-0973-9024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although digital inclusion is globally recognized as a key pathway to equitable development, rigorous empirical evidence on its specific mechanisms and regionally varying effects in driving urban-rural integration in developing countries remains scarce. To fill this gap, this study employs a fixed-effects model and robustness checks to analyze the impact of digital inclusion on urban-rural integration, using evidence from China. The findings show that digital inclusion enhances urban-rural integration by reducing information asymmetry, improving access to education and healthcare resources, and fostering industrial convergence. However, digital inclusion exerts a significant positive effect on urban-rural integration in eastern and central China, but has no significant effect in western China. These findings challenge the conventional view that digital policies have a homogeneous impact and emphasize the need for spatially differentiated interventions. By integrating an analysis of these mechanisms with an examination of regional disparities, this research advances theoretical understanding of digital inclusion's societal effects and provides critical empirical support and policy insights for developing countries aiming to develop regionally differentiated digital inclusion strategies.

Indexed as

Rural PopulationUrban PopulationChinaDeveloping CountriesDigital MediaHumans

Identifiers

PMID41557607
PMCPMC12818669

What OpenQuestion holds

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Registered trials

None linked

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.