Evidence map›Paper›PMID 34595705›Full record

ArticleEnvironmental science and pollution research international2022

How does industrial structure transformation affect carbon emissions in China: the moderating effect of financial development.

Yanchao Feng, Hongyu Wu

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
15.7field-weighted citation impact, top 1% of its field
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

10 citing papers in PubMed, 64 citations in OpenAlex.

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  5. Government Intervention, Structural Transformation, and Carbon Emissions: Evidence from China.International journal of environmental research and public health · 2023
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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

2 authors at 2 institutions in 1 country.

Yanchao FengBusiness School, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, China.
Hongyu WuSchool of Management, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, Nan Gang District, China. 17b910036@stu.hit.edu.cn.ORCID http://orcid.org/0000-0003-4353-7927
Harbin Institute of Technology · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given China's rapid industrial upgrade and economic development process, this study tries to explore the effect of industrial structure transformation on carbon emissions in China and the moderating effect of financial development by employing the traditional OLS model, the dynamic SYS-GMM model, and the dynamic spatial lag model comprehensively. In particular, industrial structure transformation has been divided into two indicators including industrial structure rationalization and industrial structure optimization; carbon emissions are evaluated from the dual perspective of scale and average. The empirical results indicate that only industrial structure optimization has a negative impact on carbon emissions scale in China at the national level. In addition, financial development has merely and positively moderated the nexus between industrial structure rationalization and carbon emissions scale and per capital carbon emission in the southern regions of China, which highlights the establishment of regional heterogeneity and the necessity of formulating policy in line with local conditions. Both theoretical and practical significance have drawn from this study, for the emerging economics and in particular for China, to reduce carbon emissions through industrial structure transformation and financial development and promote high-quality development in the new era.

Indexed as

CarbonCarbon DioxideChinaEconomic DevelopmentIndustryCarbonCarbon DioxideCarbon emissionsFinancial developmentIndustrial structure transformationModerating effectSpatial spillover effect

Identifiers

PMID34595705
OpenAlexW3204477255

What OpenQuestion holds

Textmetadata
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.