Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97624
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorXu, Pen_US
dc.creatorWang, Yen_US
dc.creatorYao, Hen_US
dc.creatorHou, HCen_US
dc.date.accessioned2023-03-08T07:09:36Z-
dc.date.available2023-03-08T07:09:36Z-
dc.identifier.urihttp://hdl.handle.net/10397/97624-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2023 Elsevier Ltd. All rights reserved.en_US
dc.rightsThis is the original submission of the publication Xu, P., Wang, Y., Yao, H., & Hou, H. C. (2023). An exploratory analysis of low-carbon transitions in China's construction industry based on multi-level perspective. Sustainable Cities and Society, 92, 104460.en_US
dc.subjectLow-carbon transitionsen_US
dc.subjectConstruction industryen_US
dc.subjectDriving factorsen_US
dc.subjectMulti-level perspectiveen_US
dc.subjectISM-MICMACen_US
dc.titleAn exploratory analysis of low-carbon transitions in China's construction industry based on multi-level perspectiveen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume92en_US
dc.identifier.doi10.1016/j.scs.2023.104460en_US
dcterms.abstractClimate change caused by carbon emissions is a concern for many countries. As the world's largest carbon emitter, China's construction industry generates substantial carbon emissions. However, previous research has primarily focused on promoting low-carbon building products or calculating carbon emissions to propose low-carbon transition measures. There has been limited research on low-carbon transitions in the construction industry from an industry system perspective. This study aimed to identify the driving factors and their interrelationships for low-carbon transitions in the construction industry. A multi-level perspective (MLP) was presented as a heuristic structure to analyze driving factors. An integrated interpretative structural model (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) technique was adopted to explore the interactions among factors. The results demonstrate that a six-level hierarchy of 22 drivers was constructed, and relationship degrees between the factors were discovered. The strongest drivers were low-carbon legal regulation, followed by industrial structure and organizational characteristics connected to industrial development. Improving these fundamental factors will increase the probability of successful transitions. The results also demonstrate that transitions are a collaborative process that involves multiple stakeholders. These findings can provide suggestions for low-carbon practices in the construction industry.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainable cities and society, May 2023, v. 92, 104460en_US
dcterms.isPartOfSustainable cities and societyen_US
dcterms.issued2023-05-
dc.identifier.eissn2210-6707en_US
dc.identifier.artn104460en_US
dc.description.validate202303 bcwwen_US
dc.description.oaAuthor’s Originalen_US
dc.identifier.FolderNumbera1950-
dc.identifier.SubFormID46199-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AO)en_US
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