Evidence map›Paper›PMID 41741600›Full record

ArticleScientific reports2026

Research on the impact of digital finance on rural revitalization.

Li Zhou, Xiaoqin Ji, Shuai Yuan

Abstract read
In one paragraph

Article in Scientific reports, 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.

Li ZhouCollege of Economics and Management, Suqian University, Suqian, China.
Xiaoqin JiSuqian Institute of Agricultural Science, Jiangsu Academy of Agricultural Sciences, Suqian, China. 20081605@jaas.ac.cn.
Shuai YuanSuqian Municipal Government Office, Suqian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an important driving force for rural revitalization, digital finance can effectively enhance the efficiency and quality of the rural economy, improve the living conditions of farmers, and promote the comprehensive progress of rural society. This paper utilizes panel data from 281 prefecture-level cities in China over the period of 2011-2022 and employs quantitative methods such as the double fixed effects model, the mediating model, and the threshold effect model to conduct an in-depth analysis and assessment of the impact of digital finance on the rural revitalization process. Research indicates that digital finance significantly promotes rural revitalization, a conclusion that remains valid after a series of robustness tests. Digital finance indirectly empowers rural revitalization by leveraging technological innovation and enhancing capital allocation efficiency. Its impact on rural revitalization exhibits a dual threshold effect across different levels of economic development. The impact of digital finance on rural revitalization exhibits regional heterogeneity, with its promotional effect being particularly pronounced in eastern regions. Accordingly, future efforts should focus on accelerating the development of digital finance, enhancing technological innovation, optimizing capital allocation efficiency in rural areas, and implementing differentiated economic development strategies to foster deeper integration between digital finance and rural revitalization.

Indexed as

Economic DevelopmentRural PopulationChinaHumansCapital allocation efficiencyDigital financeEconomic developmentRural revitalizationTechnological innovation

Identifiers

PMID41741600
PMCPMC13044279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.