Evidence map›Paper›PMID 32077027›Full record

ArticleEnvironmental science and pollution research international2020

Factor decomposition and decoupling analysis of air pollutant emissions in China's iron and steel industry.

Xiaoling Wang, Xuena Gao, Qinglong Shao, Yawen Wei

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
  2. Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China.International journal of environmental research and public health · 2021
    Article
4 · The record

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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

4 authors.

Xiaoling WangBeijing Low-carbon Operations Strategy Research Center, School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China.
Xuena GaoBeijing Low-carbon Operations Strategy Research Center, School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China.
Qinglong ShaoChina Center for Special Economic Zone Research, Shenzhen University, Shenzhen, 518060, China. shao.qinglong@szu.edu.cn.ORCID http://orcid.org/0000-0003-1636-7045
Yawen WeiBeijing Low-carbon Operations Strategy Research Center, School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China.

Funding

Humanities and Social Science project of Ministry of Education of China 17YJC630163National Natural Science Foundation of China 71704010, 71771024, 71673022, and 71903131Postdoctoral Research Foundation of China 2019M653047
6 · The paper itself

Abstract

With its major influences on economic growth, energy consumption, and environmental quality, the iron and steel (IS) industry plays an important role in achieving green growth of the national economy. It is also the main air pollutant emitter compared with other industries. Therefore, this study first investigates the influencing factors of air pollutant emissions of the IS industry from dimensions of environmental regulation effect, pollutant generation intensity effect, energy structure effect, technological progress effect, and scale effect using the logarithmic mean Divisia index (LMDI) method. Additionally, decoupling effort values are further calculated to obtain the efforts made in different historical stages to achieve decoupling between the growth of the IS industry and its pollutant emissions. Three main conclusions can be summarized based on the empirical analysis of China's IS industry from 2005 to 2015. First, environmental regulation plays a decisive role in mitigating air pollution in the IS industry. Second, environmental regulation and technological progress both exert inhibitory effects on air pollutant emissions, whereas the intensity effect of pollutant generation and scale effect promote emissions to some extent. The role of energy structural effect is unstable, yet the cumulative effect analysis shows that the effect exerts greater impacts on emission reduction during the recent period. Third, decoupling efforts of the industry gradually changed from weak to strong. In specific, the effects of environmental regulation and technological progress both promote decoupling. Conclusions are made, and suggestions are highlighted based on the research findings.

Indexed as

Environmental PollutantsAir PollutantsCarbon DioxideChinaIronSteelAir PollutantsCarbon DioxideEnvironmental PollutantsIronSteelDecoupling effortFactor decompositionIron and steel (IS) industryLogarithmic mean Divisia index (LMDI) modelSulfur dioxide emissions (SO2)

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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.