Evidence map›Paper›PMID 40414985›Full record

ArticleScientific reports2025

Industrial robots application and collaborative governance of pollution reduction and carbon reduction.

Zilong Qin, Zhengdong Zuo

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. 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

2 authors.

Zilong QinJinhe Center For Economic Research, Xi'an Jiaotong University, Xi'an, 710000, China. 1418360799@qq.com.
Zhengdong ZuoSchool of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, 200000, China.

Funding

Shanghai University of Finance and Economics CXJJ-2024-333
6 · The paper itself

Abstract

The green and intelligent transformation of the manufacturing industry has become the focus of attention in various countries. Through the analysis of China's empirical data, this paper found that the application of industrial robots can effectively reduce the emission intensity and total emission of industrial carbon dioxide and sulfur dioxide to promote green development, so as to realize the collaborative governance of reducing environmental pollution and carbon emission. In terms of mechanism, industrial robot applications play a role by improving capacity utilization, realizing economies of scale, attracting foreign investment and promoting biased technological progress, so as to realize the collaborative governance of reducing environmental pollution and carbon emission. Further analyses find that the application of industrial robots made technological progress tend to use capital factor, save energy and labor factors input, and the industrial structure optimization plays a positive moderating role in it. Through LMDI decomposition, it is found that the current production mode of "simple machine replacing human" can't reduce pollutant emissions, and it is necessary to give full play to the productivity improvement, technological progress, factor substitution, and foreign capital introduction brought by robot applications to promote the collaborative governance of reducing environmental pollution and carbon emission.

Indexed as

Biased technological progressCollaborative governanceGreen and intelligent transformationIndustrial robotsSimple machine replacing human

Identifiers

PMID40414985
PMCPMC12104416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.