Evidence map›Paper›PMID 39348400›Full record

ArticlePloS one2024

Exploring the impacts of producer services agglomeration on manufacturing carbon emissions: Empirical evidence from China.

Yuping Yang, Lujuan Ye, Jiahe Liu, Xiaoyan Zhang, Johnny F I Lam, Huangxin Chen, Ka Leong Chan

Abstract read
In one paragraph

Article in PloS one, 2024. 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

7 authors.

Yuping YangSchool of Management, Putian University, Putian, China.
Lujuan YeSchool of Economics, Fujian Normal University, Fuzhou, China.
Jiahe LiuSchool of Economics, Fujian Normal University, Fuzhou, China.
Xiaoyan ZhangSchool of Economics, Fujian Normal University, Fuzhou, China.
Johnny F I LamFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, P R China.
Huangxin ChenFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, P R China.ORCID 0009-0002-1088-6995
Ka Leong ChanFaculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, P R China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study employs panel data from 30 provinces and cities in China from 2004 to 2019 to empirically estimate the relationship between producer services agglomeration (PSA) and manufacturing carbon emissions. The findings suggest that such agglomeration is beneficial for lowering carbon emissions in manufacturing, and this conclusion passes multiple robustness tests. Heterogeneity analysis results show that PSA in the east and west regions significantly lowers manufacturing carbon emissions, while its impact in the central region is not significant. High-end PSA is beneficial for cutting carbon emissions in manufacturing, but the inhibitory effect of middle- and low-end PSA is not significant. PSA significantly suppresses carbon emissions from capital- and technology-intensive manufacturing, while it has little impact on carbon emissions from labor-intensive manufacturing. Further analysis reveals that PSA has a dual-threshold impact based on absorptive capacity and a single-threshold effect based on infrastructure level on manufacturing carbon emissions. As the absorption capacity crosses the second threshold or the infrastructure level crosses the first threshold, the inhibition effect of PSA on manufacturing carbon emissions begins to become prominent and shows a trend of enhancement. Our research findings provide theoretical and empirical bases for lowering carbon emissions in the manufacturing sector and fostering its ascent to the highest position of the value chain.

Indexed as

CarbonAir PollutantsAir PollutionChinaCitiesManufacturing IndustryAir PollutantsCarbon

Identifiers

PMID39348400
PMCPMC11441659

What OpenQuestion holds

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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.