Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91832
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dc.contributorDepartment of Building and Real Estateen_US
dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorOgungbile, AJen_US
dc.creatorShen, GQen_US
dc.creatorXue, Jen_US
dc.creatorAlabi, TMen_US
dc.date.accessioned2021-12-23T02:14:41Z-
dc.date.available2021-12-23T02:14:41Z-
dc.identifier.urihttp://hdl.handle.net/10397/91832-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2021 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 Ogungbile, A.J.; Shen, G.Q.; Xue, J.; Alabi, T.M. A Hypothetical Extraction Method Decomposition of Intersectoral and Interprovincial CO2 Emission Linkages of China’s Construction Industry. Sustainability 2021, 13, 13917 is available at https://doi.org/10.3390/su132413917en_US
dc.subjectCO2 emissionsen_US
dc.subjectProvincial construction sectoren_US
dc.subjectEmbodied carbonen_US
dc.subjectHypothetical extraction methoden_US
dc.subjectCO2 interactionsen_US
dc.subjectMulti-regional input–output analysisen_US
dc.titleA hypothetical extraction method decomposition of intersectoral and interprovincial CO2 emission linkages of China's construction industryen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13en_US
dc.identifier.issue24en_US
dc.identifier.doi10.3390/su132413917en_US
dcterms.abstractUnderstanding the complex CO2 emissions in inter-sectoral and interregional interactions of the construction industry is significant to attaining sustainability in China. Many previous studies focused on aggregating the construction sector’s CO2 emissions on a national level, with the provincial characteristics and interactions often overlooked. Using extended environmental input–output tables, we adopted a hypothetical extraction method combined with extended-environmental multiregional input–output tables for 2012, 2015, and 2017 data to decompose the CO2 emissions linkages in 30 provincial construction sectors. The provincial carbon emissions data from a complete system boundary informed the recategorization of China’s construction sector as a high-carbon-intensity industry. The interprovincial interactions results show relatively small backward CO2 emissions linkages compared to forward CO2 emissions linkages depicting the industry’s significant role in China’s economic growth and an essential target in CO2 emissions reduction plans. The provinces exhibited different impacts on the directional push–pull, with less developed provinces having one-way directional effects. The more developed provincial sectors behaved more like demanddriven industries creating an overall imbalance in CO2 emissions interaction between the sectors in interregional emission trades. We identified construction sectors in Gansu, Xingjian, Ningxia, and Inner Mongolia as the most critical, with more significant CO2 emissions interactions than other provinces. Improving the technical level in less developed provincial construction sectors, considering provincial characteristics in policy formulation, and a swift shift to renewable energy as a primary energy source would aid in reducing the emissions intensities in the construction sector, especially in the less developed provinces, and achieving China’s quest to reach a CO2 emissions peak by 2030.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainability, Dec. 2021, v. 13, no. 24, 13917en_US
dcterms.isPartOfSustainabilityen_US
dcterms.issued2021-12-
dc.identifier.eissn2071-1050en_US
dc.identifier.artn13917en_US
dc.description.validate202112 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera1115-n01-
dc.identifier.SubFormID43955-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextG-R006en_US
dc.description.pubStatusPublisheden_US
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