Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105737
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorWu, Zen_US
dc.creatorGao, Men_US
dc.creatorXie, Pen_US
dc.creatorLi, Hen_US
dc.creatorJiang, Men_US
dc.date.accessioned2024-04-15T07:45:05Z-
dc.date.available2024-04-15T07:45:05Z-
dc.identifier.issn0944-1344en_US
dc.identifier.urihttp://hdl.handle.net/10397/105737-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s) 2024en_US
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Wu, Z., Gao, M., Xie, P. et al. Impact assessment of construction waste policy intensity on environmental efficiency based on system generalized method of moments. Environ Sci Pollut Res 31, 23522–23534 (2024) is available at https://doi.org/10.1007/s11356-024-32581-x.en_US
dc.subjectConstruction waste policiesen_US
dc.subjectData envelopment analysis (DEA)en_US
dc.subjectEnvironmental efficiencyen_US
dc.subjectSystem generalized method of moments (SYS-GMM)en_US
dc.titleImpact assessment of construction waste policy intensity on environmental efficiency based on system generalized method of momentsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage23522en_US
dc.identifier.epage23534en_US
dc.identifier.volume31en_US
dc.identifier.issue16en_US
dc.identifier.doi10.1007/s11356-024-32581-xen_US
dcterms.abstractWith the acceleration of urbanization in recent years, China has witnessed large-scale construction across its provinces, generating massive amounts of construction waste that pose challenges to environmental protection and sustainable development. This study evaluated the impact of construction waste policy intensity on its environmental efficiency. Firstly, the content analysis method was used to analyze the construction waste policy text quantitatively. Second, this study constructed a slack-based measure (SBM) model based on data envelopment analysis (DEA), considering resource input and construction waste output to measure environmental efficiency. Finally, we built and tested an econometric model of how policies affect environmental efficiency using the system generalized method of moments (SYS-GMM). The findings indicate a non-linear U-shaped link between policy intensity and environmental efficiency. Among all five control variables, population density, urbanization level, and technological innovation enhance environmental efficiency, while economic development and highway density will lower it. This study advances the research on construction waste policies and offers some insights for the construction industry to pursue sustainable development.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnvironmental science and pollution research, Apr. 2024, v. 31, no. 16, p.23522-23534en_US
dcterms.isPartOfEnvironmental science and pollution researchen_US
dcterms.issued2024-04-
dc.identifier.scopus2-s2.0-85185924855-
dc.identifier.eissn1614-7499en_US
dc.description.validate202404 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextProgramme of Shenzhen Key Laboratory of Green; National Natural Science Foundation of China; National Natural Science Foundation of China; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.TASpringer Nature (2024)en_US
dc.description.oaCategoryTAen_US
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