Evidence map›Paper›PMID 41429847›Full record

ArticleScientific reports2025

An expanded STIRPAT model analysis of China's carbon neutrality pathways.

Sidney Mangenda Tshiaba, Gaoke Liao

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Sidney Mangenda TshiabaSchool of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China.
Gaoke LiaoSchool of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China. liaogaoke@gzhu.edu.cn.

Funding

Guangzhou Postdoctoral Scientific Research Project Grant 625136-67
6 · The paper itself

Abstract

Climate change has emerged as a critical and divisive global concern, intensified by international accords that mandate urgent responses. Consequently, nations worldwide are actively pursuing carbon-neutrality goals. Renewable energy adoption, green innovation, and environmental taxation are pivotal in driving decarbonization efforts, underscoring the need to evaluate their influence on carbon emissions. This study explores the roles of financial development, renewable energy, green innovation, and environmental taxation in shaping carbon emissions across 30 Chinese provinces from 2007 to 2021. The study found that renewable energy effect on emissions varies substantially. Significant reductions only appear at high adoption levels, whereas in developing provinces, renewables complement rather than replace coal, resulting in slightly increased short-term emissions. Urbanization shows a nuanced relationship; while contributing to higher emissions in the short run, dynamic estimates suggest that more urbanized provinces can reduce emissions through efficiency and planning. Financial development can initially raise emissions by scaling economic activity but is associated with lower emissions in dynamic models as mature financial systems channel capital toward cleaner technologies. Economic growth displays a negative long-run association with emissions. Human capital has short-run positive effects on emissions with offsetting longer-run effects. Green innovation transiently elevates emissions due to scale and rebound effects before verified reductions materialize. Environmental taxation shows limited short-run impact but significant long-run emission reducing effects. These insights emphasize region-specific policies that integrate sustainable finance, robust environmental regulations, grid modernization and storage to enable fossil-fuel substitution, and innovation driven strategies to achieve meaningful emission reductions.

Indexed as

Carbon emissionsEnvironmental taxFinancial developmentRenewable energySTIRPAT

Identifiers

PMID41429847
PMCPMC12722748

What OpenQuestion holds

Textmetadata
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.