Evidence map›Paper›PMID 42846016›Full record

ArticleFrontiers in public health2026

Corporate climate risk and public health disclosure: does digital transformation matter?

Jiana Liu, Zhifeng Jie, Yan Wan

Abstract read
In one paragraph

Article in Frontiers in public health, 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.

Jiana LiuBusiness School, Jiangxi Institute of Fashion Technology, Nanchang, China.
Zhifeng JieSchool of Tourism and Economic Management, Nanchang Normal University, Nanchang, China.
Yan WanBusiness School, Jiangxi Institute of Fashion Technology, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Climate risk is playing an increasingly important role in shaping corporate behavior and non-financial disclosure. This study examines the nonlinear relationship between corporate climate risk (CR) and public health disclosure (PHD) using panel data from Chinese listed companies over the period 2000-2024. Methods: Empirically, this study employs a two-way fixed effects model, a moderating effect model, and a quantile regression model, accompanied by formal cross-quantile tests to evaluate the non-linear dynamics, moderating channels, and heterogeneity across conditional PHD distributions. Results: Four key findings emerge. First, CR exhibits a U-shaped relationship with PHD, and this relationship remains robust after a series of robustness and endogeneity checks. Second, conditional marginal effects and digital transformation (DT) specific turning points show that DT changes both the level and shape of the CR-PHD relationship, shifting the turning point to the right and attenuating the recovery of PHD at higher CR levels. Third, formal cross-quantile tests confirm that the CR and its quadratic term coefficients differ across the conditional PHD distribution. Fourth, the same tests identify significant differences across marketization and return on assets groups, whereas the differences across marginal profit groups are not statistically supported. Discussion: These findings highlight the role of corporate CR and technological capabilities in shaping PHD. The U-shaped dynamic indicates that moderate CR initially depresses PHD, whereas severe risk forces strategic transparency to restore stakeholder trust and corporate reputation. Furthermore, the moderating effect of DT underscores that digital capabilities buffer firms against immediate risk pressures, altering their disclosure thresholds. The observed heterogeneity across marketization levels and financial performance emphasizes the need for differentiated regulatory oversight that accounts for regional institutional environments and corporate resource slack in driving sustainable corporate transparency.

Indexed as

DisclosurePublic HealthChinaHumansChinese listed companiescorporate climate riskdigital transformationpublic health disclosurepublic health governance

Identifiers

PMID42846016
PMCPMC13642152

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.