Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103337
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dc.contributorDepartment of Building and Real Estate-
dc.creatorHong, Jen_US
dc.creatorTang, Men_US
dc.creatorWu, Zen_US
dc.creatorMiao, Zen_US
dc.creatorShen, GQen_US
dc.date.accessioned2023-12-11T00:33:15Z-
dc.date.available2023-12-11T00:33:15Z-
dc.identifier.issn2210-6707en_US
dc.identifier.urihttp://hdl.handle.net/10397/103337-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2019. 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 Hong, J., Tang, M., Wu, Z., Miao, Z., & Shen, G. Q. (2019). The evolution of patterns within embodied energy flows in the Chinese economy: A multi-regional-based complex network approach. Sustainable Cities and Society, 47, 101500 is available at https://doi.org/10.1016/j.scs.2019.101500.en_US
dc.subjectChinese economyen_US
dc.subjectComplex networken_US
dc.subjectEmbodied energyen_US
dc.subjectEvolutionen_US
dc.subjectMulti-regional input-outputen_US
dc.titleThe evolution of patterns within embodied energy flows in the Chinese economy : a multi-regional-based complex network approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume47en_US
dc.identifier.doi10.1016/j.scs.2019.101500en_US
dcterms.abstractChina currently suffers from severe environmental issues, particularly with regard to its primary energy consumption. To address the complexity of energy flows, this study integrated a multi-regional input–output method and complex network theory to conduct an in-depth investigation of the functional and structural evolution of energy interaction patterns in the Chinese economy for 2007, 2010, and 2012. Results show that economic scale and trading frequency increased in the regional energy network, while sectoral energy connections remained stable from 2007 to 2012. A time-series analysis demonstrates that Guangdong (R19) was the most vital region for bridging the entire regional energy network and that it was located at the center of energy flow transfers. Sectoral investigation indicates that infrastructure construction remained dominant in the current Chinese economy. Any disruption that occurred in the construction sector may exceed supply capacity, and this would lead to energy crises in the embodied energy flow network. Regions were disaggregated and aggregated during the investigated period because of changes in spatial heterogeneity. Sectoral community analysis explores an evident process for industrial differentiation. The findings of this study provide a new angle through which to understand spatial heterogeneity and industrial structure in a time series manner.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainable cities and society, May 2019, v. 47, 101500en_US
dcterms.isPartOfSustainable cities and societyen_US
dcterms.issued2019-05-
dc.identifier.scopus2-s2.0-85063297893-
dc.identifier.eissn2210-6715en_US
dc.identifier.artn101500en_US
dc.description.validate202312 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0601-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24259803-
dc.description.oaCategoryGreen (AAM)en_US
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