Evidence map›Paper›PMID 40140993›Full record

ArticleBMC public health2025

Does digital economy development enhance Chinese residents' health? Impact and mechanism.

Yang Gao, Yang Yang, Jiao Lu, Chen Chen, Xian Liang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Yang GaoSchool of Economics and Management, Northwest University, Shaanxi, China.
Yang YangCollege of Economics and Management, Northwest A&F University, Shaanxi, China.
Jiao LuSchool of Public Policy and Administration, Xi'an Jiaotong University, Shaanxi, China.
Chen ChenSchool of Economics and Management, Beijing Forestry University, Beijing, China.
Xian LiangSchool of Economics and Management, Beijing Forestry University, Beijing, China. xianliang1120@bjfu.edu.cn.

Funding

China Scholarship Council 202406510037the National Social Science Foundation of China 22BGL164
6 · The paper itself

Abstract

backgroundRecognizing the effect of the digital economy on residents' health can transform technological dividends into health and well-being and provide the basis for the construction of a "health-oriented" digital society development path.

methodsThis paper explores the direct impact of the digital economy on residents' health and its mechanism by constructing a digital economic development index and combining data from the China Family Panel Studies (CFPS).

resultsThe digital economy has a health-improving effect. At the individual level, the mechanism is to accumulate social capital and improve the quality of employment, whereas at the regional level, the mechanism is to promote the equalization of basic public services and improve the quality of the environment. The effectiveness of government governance plays a beneficial moderating role in this mechanism. The heterogeneity analysis shows that the digital economy had a more significant effect on the central, western, rural, and economically underdeveloped cities, as well as on males and the low-health group. Further analysis reveals that the digital economy increases intergenerational health mobility and helps alleviate health inequalities.

conclusionsThis paper not only enriches the study of health determinants but also provides a reference for collaboration between global digitalization and health governance.

Indexed as

Digital TechnologyEconomic DevelopmentHealth StatusChinaEast Asian PeopleFemaleHumansMaleSocial CapitalDigital economyGovernment governance effectivenessHealth inequalityIntergenerational health mobilityResident health

Identifiers

PMID40140993
PMCPMC11948725

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.