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CO 2 emission hotspots analysis on supply chains for wooden houses in Japan.

Authors :
Imada S
Maeno K
Kagawa S
Source :
Journal of environmental management [J Environ Manage] 2024 Feb 27; Vol. 353, pp. 120151. Date of Electronic Publication: 2024 Feb 02.
Publication Year :
2024

Abstract

Ninety-four percent of CO <subscript>2</subscript> emissions induced by final demand in the global construction sector stem from the supply chain. Therefore, it is necessary to identify the CO <subscript>2</subscript> emission hotspots within the supply chain and implement targeted reduction measures. This study proposed a supply chain clustering approach considering the functional unit of houses and identified CO <subscript>2</subscript> emission hotspots within the supply chain structure of wooden houses, which accounted for approximately 90% of the total housing stock in Japan. We founded that the top ten CO <subscript>2</subscript> emission clusters (i.e., emission hotspots) account for approximately 40% of the carbon footprint (38 t-CO <subscript>2</subscript> ) of a wooden house. Specifically, the iron and steel cluster, which includes the pig iron and crude steel sectors, and the cement cluster, comprising the cement and ready-mixed concrete sectors, collectively contribute to approximately 75% of the CO <subscript>2</subscript> emissions within the top 10 clusters. Therefore, the reduction of CO <subscript>2</subscript> emissions from these clusters is of paramount importance. Decision-makers should promote renovation and remodeling policies for vacant houses and prioritize the reuse of foundations, predominantly constructed using steel and cement products, to reduce the supply-chain emissions from wooden houses.<br />Competing Interests: 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.<br /> (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1095-8630
Volume :
353
Database :
MEDLINE
Journal :
Journal of environmental management
Publication Type :
Academic Journal
Accession number :
38308986
Full Text :
https://doi.org/10.1016/j.jenvman.2024.120151