Evidence map›Paper›PMID 38802594›Full record

ArticleScientific reports2024

The impact of peer effect of industrial robot application on enterprise carbon emission reduction.

Jinhua Guo, Shuaiwen Chang, Mengnan Guo

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Jinhua GuoSchool of Business Administration, Shanxi University of Finance and Economics, No.140, Wucheng Road, Xiaodian District, Taiyuan, Shanxi, China.ORCID https://orcid.org/0000-0002-8483-8358
Shuaiwen ChangSchool of Business Administration, Shanxi University of Finance and Economics, No.140, Wucheng Road, Xiaodian District, Taiyuan, Shanxi, China. changshuaiwenhh@163.com.ORCID https://orcid.org/0009-0003-2043-7832
Mengnan GuoSchool of Accounting, Shanxi University of Finance and Economics, Taiyuan, China.ORCID https://orcid.org/0000-0003-2096-4301

Funding

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 72102132National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 72102133Shanxi Academy of Social Sciences 2022 Youth Project YWQN202207
6 · The paper itself

Abstract

The application of intelligent technology, such as industrial robots, is related to the environmental governance effectiveness of enterprises and the realization of the goal of "carbon peak and carbon neutrality". Due to their similar external environments, driven by economic rationality, peer enterprises will mimic the robotics applications of other enterprises, which in turn will affect the enterprises' carbon emissions. However, little literature has explored the impact of industrial robot application on enterprise carbon emissions from the perspective of peer effect. Based on the data of Shanghai and Shenzhen A-share manufacturing listed enterprises in China from 2011 to 2021, this paper explores the impact of industrial robot application on carbon emission reduction of manufacturing enterprises from the perspective of peer effect. It is found that the industry peer effect and regional peer effect brought by the application of industrial robots are conducive to promoting the carbon emission reduction of enterprises. Among them, the industry peer effect of industrial robot applications promotes carbon emission reduction by enhancing the green innovation ability of enterprises, while the regional peer effect promotes carbon emission reduction by improving the service level of enterprises. It is further found that the degree of industry competition and the level of environmental regulation have inverted U-shaped moderating effects on the industrial robot application industry peer effect, regional peer effect, and enterprises' carbon emission reduction, respectively. The results enrich the research on the impact of industrial robot application on carbon emission reduction of manufacturing enterprises and provide policy implications for improving the environmental performance of enterprises.

Identifiers

PMID38802594
PMCPMC11130150

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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.