Study on the influence of new quality productivity on carbon emissions of the manufacturing industry.

Ding Han, Panlong Sheng, Rishuai Xing, Fuxiang Xu

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. 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.

From "Supplementing Points" to "Strengthening Network": The triple logic of new quality productivity empowering green and low-carbon manufacturing.iScience · 2026
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

4 authors.

Ding HanSchool of Business Administration, Liaoning Technical University, Huludao, China.

Panlong ShengSchool of Public Administration, Shandong Technology And Business University, Yantai, 264000, China.

Rishuai XingSchool of Public Administration, Shandong Technology And Business University, Yantai, 264000, China.

Fuxiang XuSchool of Public Administration, Shandong Technology And Business University, Yantai, 264000, China. fxxu@sdtbu.edu.cn.

Funding

the National Social Science Fund of China 22BGL017

6 · The paper itself

Abstract

Using 30 provinces, autonomous regions, and municipalities in China (excluding Tibet, Hong Kong, Macau, and Taiwan) as research samples from 2012 to 2022, the study examines the nonlinear impact of new quality productivity on carbon emissions in the manufacturing industry. It discusses the mediating role played by labour productivity in manufacturing and industrial agglomeration between the two. The study finds that: there is an inverted U-shaped relationship between new productivity and manufacturing carbon emissions; labour productivity in manufacturing and industrial agglomeration play a partly intermediary role in the inverted U-shaped relationship, with the most substantial intermediary effect played by industrial agglomeration, followed by labour productivity in manufacturing; the test of heterogeneity shows that: compared with the economically underdeveloped and low-urbanized provinces and municipalities, the impacts of new productivity of the economically developed and highly urbanized provinces and municipalities on manufacturing carbon emissions show a significant inverted U-shaped relationship, followed by a strong intermediary effect played by labour productivity in manufacturing. The heterogeneity test shows that compared with the economically less developed and low urbanization level provinces and cities, the new quality productivity of economically developed and high urbanization level provinces and cities shows a significant inverted U-shaped relationship on carbon emission in the manufacturing industry.

Indexed as

Industrial agglomerationLabour productivity in manufacturingManufacturing carbon emissionsNew quality productivity

Identifiers

PMID40681678

DOI10.1038/s41598-025-10827-z

PMCPMC12274342

What OpenQuestion holds

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LicenceCC BY

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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.