Evidence map›Paper›PMID 42771589›Full record

ArticlePloS one2026

The relationship between digital literacy and employment quality: Evidence from a Chinese Household Survey.

Xiaoyun Wu, Danting Cao, Beihe Wu

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.

Xiaoyun WuCollege of Economics and Management, Yuzhang Normal University, Nanchang, China.
Danting CaoModernization Development Research Center of Nanchang Metropolitan Area, Yuzhang Normal University, Nanchang, China.
Beihe WuCollege of Economics and Management, Jiangxi Agricultural University, Nanchang, China.ORCID https://orcid.org/0009-0006-7965-6994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the digital era, digital literacy has emerged as a critical determinant of employment quality in the labor market. Using nationally representative data from the 2022 China Family Panel Studies (CFPS), this study constructs multidimensional indices of digital literacy and employment quality. Ordinary least squares (OLS) regressions, robustness checks, and moderation models are employed to examine the relationships between these variables and the underlying mechanisms. The findings suggest that digital literacy is significantly associated with employment quality. This relationship is positively moderated by return expectations and negatively moderated by human capital, indicating a stronger association among low-skilled workers with high return expectations. Regional heterogeneity reveals the most significant associations in western China and urban agglomerations-attributable to higher marginal returns on digital skills in underdeveloped regions and denser digital economies in clustered zones. Digital literacy emerges as a pivotal correlate of employment quality, particularly for vulnerable groups and lagging regions. Policy interventions should prioritize (1) inclusive, tiered digital training programs targeting low-skilled workers; (2) regionally differentiated strategies; and (3) leveraging urban agglomerations as hubs for cross-regional resource sharing. These approaches can help narrow digital divides and advance sustainable, equitable, and high-quality employment in the digital era.

Indexed as

Computer LiteracyEmploymentChinaEast Asian PeopleFamily CharacteristicsHumansSurveys and Questionnaires

Identifiers

PMID42771589
PMCPMC13596816

What OpenQuestion holds

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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.