Evidence map›Paper›PMID 42824057›Full record

ArticleiScience2026

Large emission mitigation potential from sequencing fossil fuel extraction infrastructure retirement in China.

Yi Jin, Xiaoyang Zhong, Arnold Tukker, Xu Tang, Elina Brutschin, Zhida Ma, Yingchao Chen, Wenchao Li, Lixin Tian, Bas van Ruijven and 1 more

Abstract read
PubMed Full text at PMC Publisher
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

11 authors.

Yi JinInstitute of Industrial Economics, School of Finance and Economics, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Xiaoyang ZhongInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Arnold TukkerInstitute of Environmental Sciences (CML), Leiden University, Leiden 2333 CC, the Netherlands.
Xu TangSchool of Economics and Management, China University of Petroleum (Beijing), Beijing 102249, China.
Elina BrutschinEnergy, Climate, and Environment (ECE) Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
Zhida MaSchool of Economics and Management, China University of Petroleum (Beijing), Beijing 102249, China.
Yingchao ChenSchool of Economics, Shandong Technology and Business University, Yantai, Shandong 255000, China.
Wenchao LiSchool of Mathematical Sciences, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Lixin TianSchool of Mathematical Sciences, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Bas van RuijvenEnergy, Climate, and Environment (ECE) Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
Paul BehrensInstitute of Environmental Sciences (CML), Leiden University, Leiden 2333 CC, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's fossil fuel infrastructure could lock in substantial emissions across both extraction and downstream use, making a well-defined phaseout strategy urgent for achieving carbon neutrality. We analyze the differences between the current retirement strategy and the proposed emission-oriented retirement sequencing strategy by quantifying the emission mitigation effect, employment benefit, and cost-saving advantage of strategies. We show that China's fossil fuel emissions totaled 9,850 MtCO

Indexed as

asset-level analysiscarbon mitigationChinaenergy transitionfossil fuel extractionretirement sequencing

Identifiers

PMID42824057
PMCPMC13627143

What OpenQuestion holds

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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.