Evidence map›Paper›PMID 41739836›Full record

ArticlePloS one2026

How does the climate risk affect the firm growth: Evidence from China.

Yanxue Zhang, Zirong Li

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

2 authors.

Yanxue ZhangSchool of Economics and Business Administration, Yibin University, Yibin, Sichuan, China.ORCID https://orcid.org/0009-0008-5599-3640
Zirong LiSchool of Economics and Business Administration, Yibin University, Yibin, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corporate development is threatened by climate risk, which challenges business operations and long-term planning at an unprecedented scale and frequency. Based on the challenge-threat theory framework, this study uses data from Chinese A-share listed companies from 2008 to 2022 to systematically explore the effect of climate risk on firm growth and its transmission mechanisms. The findings indicate that (1) climate risk exhibits an inverted U-shaped non-linear relationship with firm growth. Moderate climate risk promotes firm growth by stimulating adaptive strategies (e.g., technological upgrades and financing expansion), but once the threshold is exceeded, resource constraints intensify, leading to a significant decline in growth potential. (2) Climate risk influences internal control quality and operational cost control efficiency through managers' cognitive assessments (challenges or threats), which, in turn, indirectly affect the potential for firm growth by reducing agency costs, improving earnings quality, expanding profit margins, and lowering credit risks. (3) The level of financial development moderates the inflection point of climate risk. In financially developed regions, firms have greater access to credit resources, and managers maintain a more persistent perception of climate risk as a challenge. Their inverted U-shaped inflection point is significantly higher than that of firms in less developed regions, enabling them to view climate risk as a long-term challenge and sustain its promotional effect. This study integrates macro- and micro-perspectives to reveal the double-edged sword effect of climate risk. The theoretical foundation and practical insights can help enterprises respond to climate risk dynamically and formulate differentiated policies.

Indexed as

ClimateClimate ChangeCommerceChinaHumans

Identifiers

PMID41739836
PMCPMC12935275

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.