Evidence map›Paper›PMID 40451793›Full record

ArticleScientific reports2025

The impact of environmental factors on public engagement on WeChat in China's national parks- a socio-cognitive analysis.

Juan Lu, Huiying Zhang, Jiarui Han, Xingnian Zhang

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
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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

4 authors.

Juan LuCollege of management and economics, Tianjin University, Tianjin, 300072, China.
Huiying ZhangCollege of management and economics, Tianjin University, Tianjin, 300072, China. hyzhang@tju.edu.cn.
Jiarui HanCollege of management and economics, Tianjin University, Tianjin, 300072, China.
Xingnian ZhangCollege of Politics and Public Administration, Qinghai Nationalities University, Xining, 810007, China.

Funding

Qinghai Nationalities University No. 2022XJX01
6 · The paper itself

Abstract

Based on social cognitive theory and engagement hierarchy structure, this study aims to investigate how environmental factors influence public interaction behavior on WeChat, the official social media platform used by China's national parks (NPs). Using monthly panel data from July 2018 to December 2023, this research employs advanced econometric models such as two-way fixed effects, Least Squares Dummy Variable (LSDV), and Difference Generalized Method of Moments (D-GMM) estimators to analyze the complex dynamics of public interaction and messaging. The results highlight the significant positive impact of policies and news in driving public behavior on social media, while academic conferences have a dampening effect. The study introduces the mediating role of WeChat and the moderating effect of the administrative level. In addition, the study shows that the engagement structure of China's NPs on WeChat is mainly at the level of information and community building, with limited progress in facilitating public action on environmental protection or policymaking. The findings suggest that tailored strategies, considering local contexts and the development stages of NPs, are essential for effective public service strategies. The results of the study can help inform how environmental factors and social media tools can be used to increase public engagement with NPs.

Indexed as

Community ParticipationParks, RecreationalSocial MediaChinaHumansEngagement hierarchyEnvironmental factorsNational parksPublic behaviourSocial mediaWeChat

Identifiers

PMID40451793
PMCPMC12127479

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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.