Evidence map›Paper›PMID 42548883›Full record

ArticleiScience2026

Increasing the adoption of electric vehicles may exacerbate carbon emissions from power plants in China.

Wenqian Ren, Jing Liang, Xu Peng

Abstract read
In one paragraph

Article in iScience, 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.

Wenqian RenSchool of Economics and Management, Harbin Institute of Technology, Harbin, Heilongjiang, China.
Jing LiangSchool of Economics and Management, Harbin Institute of Technology, Harbin, Heilongjiang, China.
Xu PengSchool of Business, Jiangnan University, Wuxi, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China has committed to electric vehicle (EV) development to achieve the "Dual Carbon" goals. However, the rising electricity demand from EVs may exacerbate carbon emissions from the power sector. This empirical study investigates the impact of China's EV adoption on carbon emissions in the power sector using the panel data from 2017 to 2022. The instrumental variable regression results reveal that a 10% increase in EV sales increases emissions from power plants by 0.39%. Spatial econometric results further indicate significant emission spillovers and spatial connections among power plants. In addition, our scenario analysis reveals that the coordinated development of renewable energy and transport electrification contributes further to carbon reduction. Our findings highlight the importance of a cleaner energy mix in unlocking the full decarbonization potential of EVs.

Indexed as

carbon emissionsclean energyelectric vehiclespower plants

Identifiers

PMID42548883
PMCPMC13429923

What OpenQuestion holds

Textmetadata
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.