Evidence map›Paper›PMID 41350383›Full record

ArticleScientific reports2025

Public value management in rural China through digital engagement, identity recognition and moral legitimacy.

Zhifei Liu, Zhaozhu Han

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. 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

2 authors.

Zhifei LiuFaculty of Public Administration, Yanshan University, Qinhuangdao, China.
Zhaozhu HanFaculty of Public Administration, Yanshan University, Qinhuangdao, China. hanzhaozhu1965@ysu.edu.cn.

Funding

2023 Soft Science Project of the Henan Provincial Science and Technology Department 232400410442Special Project on the Inheritance and Development of Chinese Outstanding Traditional Culture in Universities in Henan Province 2023-WHZX-40
6 · The paper itself

Abstract

This study investigates how public value is constructed in rural governance through the interplay of digital civic embeddedness, moral legitimacy, procedural inclusion, and eco-cultural identity salience. Drawing on Public Value Theory (PVT), Social Identity Theory (SIT), and Digital Citizenship Theory (DCT), the study develops and empirically tests a structural model using survey data from 412 rural residents in Henan Province, China. Results from PLS-SEM analysis reveal that while digital civic embeddedness does not directly enhance perceived public value, it significantly influences it through procedural inclusion and identity salience. Moral legitimacy of local officials emerges as a key antecedent, positively affecting both mediators and public value perceptions. Furthermore, trust spillover to central government moderates these relationships, weakening the impact of procedural inclusion and strengthening the effect of identity salience. The findings contribute to theory by introducing a multi-level, psychologically grounded model of public value construction and by reframing digital citizenship as conditional on perceived fairness and cultural resonance. Practically, the study calls for identity-sensitive, ethically grounded, and procedurally inclusive governance strategies that go beyond digital access to cultivate trust and legitimacy in transforming rural contexts. Implications extend to digital policy design, leadership development, and symbolic co-production in public administration.

Indexed as

MoralsRural PopulationSocial IdentificationSocial ValuesAdultChinaFemaleHumansMaleMiddle AgedTrustDigital civic engagementEco-Cultural identityMoral legitimacyProcedural inclusionPublic valueRural governanceTrust spillover

Identifiers

PMID41350383
PMCPMC12796234

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.