Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110147
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dc.contributorDepartment of Building and Real Estate-
dc.creatorLi, CZ-
dc.creatorLing, X-
dc.creatorJiang, M-
dc.creatorXie, P-
dc.date.accessioned2024-11-28T02:59:45Z-
dc.date.available2024-11-28T02:59:45Z-
dc.identifier.urihttp://hdl.handle.net/10397/110147-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rightsCopyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Li CZ, Ling X, Jiang M, Xie P. Investigating Environmental Efficiency Upgrading Path of Construction Waste Based on Configuration Analysis. Sustainability. 2024; 16(5):1784 is available at https://doi.org/10.3390/su16051784.en_US
dc.subjectConfiguration analysisen_US
dc.subjectConstruction wasteen_US
dc.subjectEnvironmental efficiencyen_US
dc.subjectFuzzy-set qualitative comparative analysis (fsQCA)en_US
dc.titleInvestigating environmental efficiency upgrading path of construction waste based on configuration analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume16-
dc.identifier.issue5-
dc.identifier.doi10.3390/su16051784-
dcterms.abstractThe rapid development of urbanization and large-scale engineering projects have led to the output of a large quantity of construction waste, which also puts great pressure on the environment. Environmental efficiency, as one of the criteria for measuring sustainable development, can be used to measure the impact of enterprises, industries, or regions on the environment when creating economic value. This research takes 30 provinces in China as samples and uses configuration analysis and fuzzy-set qualitative comparative analysis (fsQCA) methods to analyze the combined effects of factors affecting the environmental efficiency of construction waste generation, to find upgrading paths to improve environmental efficiency. The results indicate that five configurations can promote provinces to achieve high environmental efficiency, which can be classified into three types: population density, technological innovation, and policy economy. These three configurations reveal the comprehensive impact of systematic correlations among population, technology, policy, and economic factors on environmental efficiency improvements. This research provides a certain theoretical reference for exploring the influencing factors of environmental efficiency and provides theoretical guidance for selecting different paths to improve the environmental efficiency of construction waste in regions with different social conditions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainability, Mar. 2024, v. 16, no. 5, 1784-
dcterms.isPartOfSustainability-
dcterms.issued2024-03-
dc.identifier.scopus2-s2.0-85187485547-
dc.identifier.eissn2071-1050-
dc.identifier.artn1784-
dc.description.validate202411 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China (NSFC); Department of Education of Guangdong Province; Shenzhen Science and Technology Innovation Commissionen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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