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CO 2 emission hotspots analysis on supply chains for wooden houses in Japan.
- 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.)
- Subjects :
- Animals
Swine
Japan
Steel
Iron
Carbon Dioxide analysis
Carbon Footprint
Subjects
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