Evidence map›Paper›PMID 40121262›Full record

ArticleScientific reports2025

The impact of digital village construction on poverty vulnerability among rural households.

Xiaonan Zhao, Feng Lan, Liping Zhang, Mengdan Guo, Yanxiao Li

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Xiaonan ZhaoAcademy of Civil Engineering & Architecture, Nanyang Normal University, Nanyang, China. zhxiaonan2021@xauat.edu.cn.
Feng LanSchool of Management, Xi'an University of Architecture and Technology, Xi'an, China. lanfeng@xauat.edu.cn.
Liping ZhangSchool of Management, Xi'an University of Architecture and Technology, Xi'an, China.
Mengdan GuoSchool of Management, Xi'an University of Architecture and Technology, Xi'an, China.
Yanxiao LiSchool of Management, Xi'an University of Architecture and Technology, Xi'an, China.

Funding

General Program of National Natural Science Foundation of China 72174162
6 · The paper itself

Abstract

Against the backdrop of consolidating the achievements of poverty alleviation and promoting rural revitalization, whether digital village construction can alleviate the risk of rural families returning to poverty and then help long-term poverty prevention needs systematic and scientific empirical investigation. Using data from the 2020 China Rural Revitalization Survey (CRRS), this paper analyzes the impact of digital village construction on rural household poverty vulnerability and explores its potential channels. The results show that (1) digital village construction can significantly alleviate the poverty vulnerability of rural households. (2) Improving entrepreneurial activity is an effective way for digital village construction to affect the risk of rural households returning to poverty. (3) Digital village construction has a greater effect on reducing the poverty vulnerability of households in the eastern and the plains regions, and it is necessary to be vigilant against the emergence of the "digital divide". Based on these findings, this paper proposes policy recommendations to prevent the risk of rural areas returning to poverty through digital village construction, which achieves sustainable poverty reduction and rural revitalization goals.

Indexed as

PovertyRural PopulationChinaFamily CharacteristicsHumansVulnerable PopulationsDigital village constructionEntrepreneurial activityPoverty vulnerabilityRural revitalizationSustainable poverty reduction

Identifiers

PMID40121262
PMCPMC11929832

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.