Evidence map›Paper›PMID 36662689›Full record

ArticlePloS one2023

Green transition in manufacturing: Dynamics and simulation.

Lin Lu, Xue Su, Song Hu, Xiaochun Luo, Zhangzheyi Liao, Yuelin Ren, Kai Kang, Beibei Li

RetractedAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Lin LuSchool of Economics and Management, Guangxi Normal University, Guilin, China.
Xue SuSchool of Business Administration, Guizhou University of Finance and Economics, Guiyang, China.
Song HuSchool of Economics and Management, Guangxi Normal University, Guilin, China.ORCID 0000-0002-6612-0094
Xiaochun LuoSchool of Economics and Management, Guangxi Normal University, Guilin, China.
Zhangzheyi LiaoSchool of Economics and Management, Heilongjiang Bayi Agricultural University, Daqing, China.
Yuelin RenSchool of Economics and Management, Guangxi Normal University, Guilin, China.
Kai KangSchool of Economics and Management, Guangxi Normal University, Guilin, China.
Beibei LiSchool of Economics and Management, Guangxi Normal University, Guilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under the dual background of global industrial value chain and low-carbon emission reduction, the green transformation and upgrading of the manufacturing industry is an important way to promote production and promote sustainable economic development. Considering that the green transformation of the manufacturing industry is a typical complex adaptation system, based on the intrinsic relationship between the dynamic theory and the green transformation of the manufacturing industry, this paper takes the endogenous variable of the transformation of manufacturing enterprises as the entry point, simulates the transformation of new and old dynamic energy of green transformation, and explores the mechanism of green transformation and upgrading of manufacturing industry and the conversion process. According to the model, it is concluded that the green transformation of manufacturing enterprises is the result of the multi-stage transformation of enterprises. In this process, the change inertia overcomes old dynamic inertia and promotes the new dynamic to gradually replace the old dynamic. At the end of the article, specific suggestions are given to promote the green transformation of manufacturing enterprises from the aspects of ideology, policy support, digital empowerment, financial service guarantee system and communication and cooperation.

Indexed as

CommerceIndustryChinaEconomic DevelopmentManufacturing IndustrySustainable Development

Identifiers

PMID36662689
PMCPMC9858057

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.