Evidence map›Paper›PMID 41339375›Full record

ArticleScientific data2025

Dataset on the dynamic stocks and flows of 20 types of plastics in China, 1978-2022.

Yucheng Ren, Hengzhi Zhu, Yuheng Cao, Xiaobin Jiang, Dingjiang Chen, Meng Jiang, Ming Xu, Baohua Guo, Bing Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. 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.

Yucheng Ren *State Key Laboratory of Chemical Engineering and Low-carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
Hengzhi Zhu *State Key Laboratory of Chemical Engineering and Low-carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
Yuheng Cao *State Key Laboratory of Chemical Engineering and Low-carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
Xiaobin Jiang *Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
Dingjiang ChenState Key Laboratory of Chemical Engineering and Low-carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China. chendj@tsinghua.edu.cn.
Meng JiangDepartment of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, 7491, Norway. jm16@tsinghua.org.cn.
Ming XuInstitute for Circular Economy, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0002-7106-8390
Baohua GuoDepartment of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
Bing ZhuState Key Laboratory of Chemical Engineering and Low-carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China. bingzhu@tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-2890-7523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread use of plastics has reshaped material cycles, requiring systematic understanding of their socioeconomic metabolism, encompassing material flows and stocks from production to end-of-life, to support effective policy development. Although previous studies have addressed specific aspects of plastic flows in China, existing data have been fragmented, with limited resolution and temporal consistency. Here, we develop a high-resolution, temporally consistent dynamic material flow database for China (1978-2022), covering 20 major plastic types (covering over 95% of national demand), 11 manufactured product groups, 9 end-use sectors, 4 waste disposal pathways, and international trade. The dataset is validated against published estimates and further assessed through sensitivity and uncertainty analyses, which highlight key parameters that are relatively sensitive and suggest directions for future refinement. By openly releasing all underlying data and code, we ensure full transparency and reproducibility. This work provides a database of over 60,000 data records that serves as a critical basis for quantitative research on plastic material cycles and supports further modeling of circular economy strategies.

Identifiers

PMID41339375
PMCPMC12820195

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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.