Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104303
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorLi, Zen_US
dc.creatorSun, Len_US
dc.creatorGeng, Yen_US
dc.creatorDong, Hen_US
dc.creatorRen, Jen_US
dc.creatorLiu, Zen_US
dc.creatorTian, Xen_US
dc.creatorYabar, Hen_US
dc.creatorHigano, Yen_US
dc.date.accessioned2024-02-05T08:47:59Z-
dc.date.available2024-02-05T08:47:59Z-
dc.identifier.issn0959-6526en_US
dc.identifier.urihttp://hdl.handle.net/10397/104303-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2017 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2017. 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 Li, Z., Sun, L., Geng, Y., Dong, H., Ren, J., Liu, Z., Tian, X., Yabar, H., & Higano, Y. (2017). Examining industrial structure changes and corresponding carbon emission reduction effect by combining input-output analysis and social network analysis: A comparison study of China and Japan. Journal of Cleaner Production, 162, 61–70 is available at https://doi.org/10.1016/j.jclepro.2017.05.200.en_US
dc.subjectCarbon emissionsen_US
dc.subjectChinaen_US
dc.subjectIndustrial structureen_US
dc.subjectInput-output analysisen_US
dc.subjectSocial network analysisen_US
dc.titleExamining industrial structure changes and corresponding carbon emission reduction effect by combining input-output analysis and social network analysis : a comparison study of China and Japanen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage61en_US
dc.identifier.epage70en_US
dc.identifier.volume162en_US
dc.identifier.doi10.1016/j.jclepro.2017.05.200en_US
dcterms.abstractIndustrial structure adjustment is one solution for responding economic slowdown and environmental problems occurred during China’s rapid industrialization. Such an adjustment may also lead to carbon emission reduction since it encourages industrial innovation and resource efficiency. However, few studies have been conducted on examining the effect of industrial structure adjustment on carbon emission reduction. Under such a circumstance, this study develops an integrated evaluation model based on Input-Output Analysis and Social Network Analysis to quantify the evolutionary trends of industrial structure, demonstrate the inner-relationship between different sectors and investigate the industrial structure-related carbon emissions. China and Japan were selected as case study countries. Results show that industrial structure was gradually improved in China and various connections were established between different sectors. For Japan, the industrial network densities were lower than for China and exhibited a downward trend that reflected the weakened relationship between different industries. Service sectors dominated the Japanese economy, as shown by the relatively higher degree centrality and betweenness centrality of service sectors. The electricity and heat production sector was further investigated to illustrate the industrial structure-related carbon emissions. Finally, this study concluded that compared to the industrial structure features in a developed country, such as Japan, China’s industrialization is still in its infancy. Thus, it is crucial to prepare industrial structure adjust policies so that the overall social-economic performance can be improved.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of cleaner production, 20 Sept 2017, v. 162, p. 61-70en_US
dcterms.isPartOfJournal of cleaner productionen_US
dcterms.issued2017-09-20-
dc.identifier.scopus2-s2.0-85024093961-
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0767-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Fundamental Research Funds for the Central Universities through Shanghai Jiao Tong University; Shanghai Municipal Government; Yunnan Provincial Research Academy of Environmental Scienceen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6761707-
dc.description.oaCategoryGreen (AAM)en_US
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