Shared network and supply chain features for synergetic control of carbon and air pollutant emissions
- PMID: 35271926
- DOI: 10.1016/j.scitotenv.2022.154391
Shared network and supply chain features for synergetic control of carbon and air pollutant emissions
Abstract
The synergetic control of carbon and air pollutant emissions will be an unflagging effort for China in its dual pursuit of air quality improvement and carbon neutrality. The shared features of sectoral emissions from network and supply chain perspectives, as well as the evolution of these features under policy intervention remain to be investigated. This study develops four ecological networks for CO2 and SO2 emissions targeting the period 2010-2015 with strengthened emission control implemented. By fusing input-output analysis, Ecological Network Analysis and Structural Path Analysis, the shared intersectoral linkages of emissions are examined, and the key supply chains are identified. The results indicate that most sectors have control over Transportation Equipment, Electronic Equipment, and Construction, and almost all sectors have dependence on Power and Heat. Exploitative relationships induced by emission flows along supply chains are predominant, accounting for over 60% for four emission flow networks. Eight shared supply chains are identified among the top 20 that generally induce larger than 50% emissions in both 2010 and 2015. The one with the largest emissions is "Total capital formation → Construction → Nonmetals". During 2010-2015, the critical evolution of network features is the decrease in the economy's control over Construction, dependence on Fossil Energy Mining, and emissions contained in the paths associated with exports. The findings help to more pertinently strategize on prescient regulation of key supply chains for a more effective carbon-pollution synergetic control.
Keywords: Ecological Network Analysis (ENA); Emissions; Structural Path Analysis (SPA); Supply chain; Synergetic control.
Copyright © 2022 Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Similar articles
-
The temporal variation of SO2 emissions embodied in Chinese supply chains, 2002-2012.Environ Pollut. 2018 Oct;241:172-181. doi: 10.1016/j.envpol.2018.05.052. Epub 2018 May 25. Environ Pollut. 2018. PMID: 29804050
-
Structural analysis of indirect carbon emissions embodied in intermediate input between Chinese sectors: a complex network approach.Environ Sci Pollut Res Int. 2019 Jun;26(17):17591-17607. doi: 10.1007/s11356-019-05053-w. Epub 2019 Apr 25. Environ Sci Pollut Res Int. 2019. PMID: 31025285
-
Structural evolution of China's intersectoral embodied carbon emission flow network.Environ Sci Pollut Res Int. 2021 May;28(17):21145-21158. doi: 10.1007/s11356-020-11882-x. Epub 2021 Jan 6. Environ Sci Pollut Res Int. 2021. PMID: 33405153
-
Emissions from oil and gas operations in the United States and their air quality implications.J Air Waste Manag Assoc. 2016 Jun;66(6):549-75. doi: 10.1080/10962247.2016.1171263. J Air Waste Manag Assoc. 2016. PMID: 27249104 Review.
-
Synergetic roadmap of carbon neutrality and clean air for China.Environ Sci Ecotechnol. 2023 Apr 19;16:100280. doi: 10.1016/j.ese.2023.100280. eCollection 2023 Oct. Environ Sci Ecotechnol. 2023. PMID: 37273886 Free PMC article. Review.
Cited by
-
Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network.Int J Environ Res Public Health. 2022 Jul 31;19(15):9396. doi: 10.3390/ijerph19159396. Int J Environ Res Public Health. 2022. PMID: 35954753 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
