Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103226
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dc.contributorDepartment of Building and Real Estate-
dc.creatorWen, Qen_US
dc.creatorChen, Yen_US
dc.creatorHong, Jen_US
dc.creatorChen, Yen_US
dc.creatorNi, Den_US
dc.creatorShen, Qen_US
dc.date.accessioned2023-12-11T00:32:29Z-
dc.date.available2023-12-11T00:32:29Z-
dc.identifier.issn0360-1323en_US
dc.identifier.urihttp://hdl.handle.net/10397/103226-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Wen, Q., Chen, Y., Hong, J., Chen, Y., Ni, D., & Shen, Q. (2020). Spillover effect of technological innovation on CO2 emissions in China's construction industry. Building and Environment, 171, 106653 is available at https://doi.org/10.1016/j.buildenv.2020.106653.en_US
dc.subjectCO2 emissionen_US
dc.subjectTechnological innovationen_US
dc.subjectSpatial econometric modelen_US
dc.subjectConstruction industryen_US
dc.titleSpillover effect of technological innovation on CO₂ emissions in China's construction industryen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume171en_US
dc.identifier.doi10.1016/j.buildenv.2020.106653en_US
dcterms.abstractGiven the leading role of the construction industry in fossil fuel consumption, it is essential to identify the drivers responsible for carbon emission in that sector. Based on the panel data of 30 provinces in China in the period between 2000 and 2015, this study estimated the spatial distribution and driving innovation factors of construction carbon emissions (CCE) by using Moran's I index and spatial econometric models as underlying methods. The empirical results show that there were significant spatial dependence and clustering characteristics in provincial CCE. The net value of machinery and equipment, labor productivity, technical renovation input, construction gross domestic product, and the total construction profit prohibit greater emission reductions. Specifically, the economy related performance indicators cause smaller positive impacts on emission growth than the machinery- and labor-related factors. In addition, it is also noted that proportion of technical personnel and the ratio of technical equipment have significantly positive effects on CCE abatement. The findings of this study would be beneficial for local government to adopt stratified and effective emission reduction methods in the provincial construction industry.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationBuilding and environment, 15 Mar. 2020, v. 171, 106653en_US
dcterms.isPartOfBuilding and environmenten_US
dcterms.issued2020-03-15-
dc.identifier.scopus2-s2.0-85078123914-
dc.identifier.eissn1873-684Xen_US
dc.identifier.artn106653en_US
dc.description.validate202312 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0351-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNatural Science Foundation of China; Chongqing Science & Technology Commission; State Key Laboratory of Building Safety and Built Environment and National Engineering Research Center of Building Technologyen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24252046-
dc.description.oaCategoryGreen (AAM)en_US
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