Evidence map›Paper›PMID 41142125›Full record

ArticleiScience2025

The social impacts on China's vulnerable cities in the transition away from coal power.

Jiahai Yuan, Xiaowen Yang, Ryna Yiyun Cui, Haonan Zhang, Fang Fang, Jian Zhang, Yufei Ren

Abstract read
In one paragraph

Article in iScience, 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

7 authors.

Jiahai YuanSchool of Economics and Management, North China Electric Power University, Beijing 102206, China.
Xiaowen YangDepartment of Economics and Management, North China Electric Power University, Baoding 071003, China.
Ryna Yiyun CuiCenter for Global Sustainability, School of Public Policy, University of Maryland, College Park, MD 20742, USA.
Haonan ZhangDepartment of Economics and Management, North China Electric Power University, Baoding 071003, China.
Fang FangSchool of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China.
Jian ZhangSchool of Economics and Management, North China Electric Power University, Beijing 102206, China.
Yufei RenSchool of Economics and Management, North China Electric Power University, Beijing 102206, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To achieve China's carbon neutrality goal, the power sector will undergo a radical transition, which entails accelerated retirements of unabated coal-fired power plants. To identify the most impacted vulnerable areas, we quantify the changes in employment and tax revenue at the city level under different coal power transition scenarios. We find that only 10% of cities in China are severely affected under power transition, which are concentrated in coal resource provinces. These identified vulnerable cities bear the highest shocks across all different transition pathways tested. Accelerating retirements, reducing utilization hours, and energy-efficient retrofits can effectively alleviate the accumulated shocks at the end and allow smoother transitions. In addition, about 60% of employment and tax revenue loss in vulnerable cities are driven by the plant closure in other provinces. Our findings reveal large regional differences that require tailored strategies and policy supports for a just transition of the power industry.

Indexed as

Applied sciencesEnvironmental policySocial sciences

Identifiers

PMID41142125
PMCPMC12547276

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.