Literature DB >> 33517018

Understanding the industrial NOx and SO2 pollutant emissions in China from sector linkage perspective.

Lanxin Zhang1, Yuan Wang2, Cuiyang Feng3, Sai Liang4, Yu Liu5, Huibin Du6, Ning Jia6.   

Abstract

Since the most stringent-ever clean air policy was implemented in 2013 in China, main industrial air pollutant emissions have notably decreased. However, there are few studies on air pollutant emissions of industrial sectors driven by supply chain before and after implementing this policy. This paper attempts to provide a new perspective from industrial linkage to understand the emission of air pollutants. Based on Input-Output model framework, we revealed the linkages of SO2 and NOx emissions between sectors from 2012 to 2017 and the driving forces behind emission changes. Moreover, we simulated the possible impact of the key sector linkages on air pollutant emissions. Results show that the most noteworthy change during this period is that the metal melting sector has replaced the power sector, as the largest pollutant output emission sector associated with other sectors, especially the transport equipment sector. The main reason of this phenomena is that the emission intensity reduction rate of metal smelting sector (e.g., only 17% for NOx) is far less than other sectors. In the future, the development of the equipment manufacturing may put pressure on the metal smelting sector to reduce emissions. For example, when the transport equipment sector increases total output by 20% ~ 40%, the metal smelting sector will be driven to emit 0.04Mt ~0.08Mt of NOx. This paper provides a basis to quantitatively analyze the industrial sector linkages and identify the key sectors from 2012-2017, and helps decision makers better understand the impact of sector linkage on pollutant emissions.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air pollutant emissions; Hypothetical extraction method (HEM); Sector linkage; Structural decomposition analysis (SDA)

Year:  2021        PMID: 33517018     DOI: 10.1016/j.scitotenv.2021.145242

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Spatio-Temporal Characteristics of SO2 across Weifang from 2008 to 2020.

Authors:  Lining Zhu; Yu Zhang; Zheng Wu; Chengcheng Zhang
Journal:  Int J Environ Res Public Health       Date:  2021-11-20       Impact factor: 3.390

2.  Assessing the "negative effect" and "positive effect" of COVID-19 in China.

Authors:  Wen Wen; Yueyang Li; Yu Song
Journal:  J Clean Prod       Date:  2022-09-18       Impact factor: 11.072

3.  Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes.

Authors:  José Abel Espinoza-Guillen; Marleni Beatriz Alderete-Malpartida; Jimmy Hans Cañari-Cancho; Dennis Libio Pando-Huerta; David Fernando Vargas-La Rosa; Sadyth Jhocelú Bernabé-Meza
Journal:  Environ Dev Sustain       Date:  2022-08-05       Impact factor: 4.080

4.  Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network.

Authors:  Jiekun Song; Lina Jiang; Zeguo He; Zhicheng Liu; Xueli Leng
Journal:  Int J Environ Res Public Health       Date:  2022-07-31       Impact factor: 4.614

5.  A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification.

Authors:  Tienan Ju; Mei Lei; Guanghui Guo; Jinglun Xi; Yang Zhang; Yuan Xu; Qijia Lou
Journal:  Front Environ Sci Eng       Date:  2022-08-28
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.