Evidence map›Paper›PMID 42856584›Full record

ArticleFrontiers in public health2026

Navigating climate uncertainty: employment effects of social security contributions in China.

Feifei Chen, Yadong Cui, Yongsheng Ji, Kaikai Wang

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

4 authors.

Feifei ChenSchool of Economics and Management, Shandong Youth University of Political Science, Jinan, China.
Yadong CuiSchool of Insurance, Shandong University of Finance and Economics, Jinan, China.
Yongsheng JiSchool of Vocational Education, Shandong Youth University Of Political Science, Jinan, China.
Kaikai WangSchool of Economics and Management, Shandong Youth University of Political Science, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As an institutional component of labor costs, social insurance contributions (SIC) directly shape firms' employment decisions. Methods: Using data from China's A-share listed companies from 2007 to 2019, and exploiting the implementation of the social insurance law (SIL) of China in 2011 as a quasi-natural experiment, this paper investigates the impact of social insurance contributions on corporate labor employment decisions and the underlying mechanisms. Results: The results show that an increase in social insurance contributions significantly reduces the scale of corporate labor employment. An analysis of the cost-shifting effect reveals that, compared with reducing wages, firms are more likely to reduce employment to alleviate the burden of social insurance contributions. Mechanism analysis indicates that higher social insurance contributions reduce labor employment through three channels: tightening liquidity constraints, reducing production scale, and increasing capital input. Heterogeneity analysis shows that the nega-tive effect of increased social insurance contributions on labor employment is more pronounced among firms with severe financing constraints and those with larger pre-existing labor employment scales. Discussion: Our findings deepen the understanding of the labor‑market consequences of social security policies and provide empirical evidence for balancing social security obligations and stable corporate employment.

Indexed as

EmploymentSocial SecurityChinaHumansUncertaintyclimate riskdifference-in-differenceslabor employmentshifting effectsocial insurance contributions

Identifiers

PMID42856584
PMCPMC13649469

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.