Evidence map›Paper›PMID 41741467›Full record

ArticleNature communications2026

Strategies for synergistic reduction of plastic leakage and greenhouse gas emissions in China.

Jingjing Bai, Zichun Huang, Xuewei Liu, Yuxin Liu, Lingyu Tai, Ziyang Lou, Johann Fellner, Wei Liu, Wenchao Ma

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Jingjing BaiKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Environmental Science and Engineering, Hainan University, Haikou, China.
Zichun HuangKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Environmental Science and Engineering, Hainan University, Haikou, China.
Xuewei LiuSchool of Environmental Science and Engineering, Tianjin University, Tianjin, China.
Yuxin LiuKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Environmental Science and Engineering, Hainan University, Haikou, China.
Lingyu TaiKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Environmental Science and Engineering, Hainan University, Haikou, China.
Ziyang LouSchool of Environmental Science and Engineering, Shanghai Engineering Research Center of Solid Waste Treatment and Resource Recovery/ China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0001-5389-3728
Johann FellnerInstitute for Water Quality and Resource Management, TU Wien, Vienna, Austria.
Wei LiuDepartment of Environmental Science and Engineering, Nankai University Binhai College, Tianjin, China.
Wenchao MaKey Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, School of Environmental Science and Engineering, Hainan University, Haikou, China. mawc916@tju.edu.cn.ORCID http://orcid.org/0000-0003-3895-5163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The plastics industry is now confronting the intertwined challenges of environmental leakage and greenhouse gas emissions. Although policy interventions may exert synergistic reduction effects, the magnitude of such synergy remains underexplored. Here, we systematically analyze the material metabolism, environmental leakage, and greenhouse gas emissions associated with 14 plastic types in China over the period 1992-2021, and model the synergistic emissions reduction potentials and relative cost-effectiveness of these plastics under 14 scenarios between 2021 and 2060. Our results show significant heterogeneity in historical emission trajectories across plastic categories. By 2060, the system change scenario demonstrates the greatest potential for synergistic emission reductions and optimized cost-effectiveness. Relative to the 2060 baseline scenario, the system change achieves an 80% reduction in plastic leakage and a 63% decrease in greenhouse gas emissions. These results provide a reference for the development of synergistic emission reduction strategies suitable for different plastic types and industries.

Identifiers

PMID41741467
PMCPMC13046867

What OpenQuestion holds

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LicenceCC BY
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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.