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Article: A multi-regional structural path analysis of the energy supply chain in China's construction industry

TitleA multi-regional structural path analysis of the energy supply chain in China's construction industry
Authors
KeywordsEnergy consumption
Multi-regional input-output model
Construction industry
Structural path analysis
Issue Date2016
Citation
Energy Policy, 2016, v. 92, p. 56-68 How to Cite?
Abstract© 2016 Elsevier Ltd.The construction industry in China exerts significant environmental impacts and uses considerable resources because of rapid urbanization. This study conducted a structural path analysis (SPA) based on the multi-regional input-output table to quantify environmental impact transmission in the entire supply chain. Results indicated that the direct resource input (the first stage) along with on-site construction (the zeroth stage) consumed the highest amount of energy in the supply chain and accounted for approximately 50% of total energy consumption. Regional analysis showed that energy consumption in the construction industry at the provincial level was self-sufficient. Sectoral analysis demonstrated that the direct inputs from the sectors of "manufacture of non-metallic mineral products" and "smelting and pressing of metals" generated the most important energy flows, whereas the sectors of "production and distribution of electric power and heat power" and "extraction of petroleum and natural gas" significantly but indirectly influenced energy use. Sensitivity analysis exhibited that the system boundary of SPA could be narrowed down into the first two upstream stages that contained nearly 50% of energy flow information or expanded toward the first five upstream stages that represented 80% of total energy consumption.
Persistent Identifierhttp://hdl.handle.net/10722/231024
ISSN
2015 Impact Factor: 3.045
2015 SCImago Journal Rankings: 2.436

 

DC FieldValueLanguage
dc.contributor.authorHong, Jingke-
dc.contributor.authorShen, Qiping-
dc.contributor.authorXue, Fan-
dc.date.accessioned2016-09-01T06:07:24Z-
dc.date.available2016-09-01T06:07:24Z-
dc.date.issued2016-
dc.identifier.citationEnergy Policy, 2016, v. 92, p. 56-68-
dc.identifier.issn0301-4215-
dc.identifier.urihttp://hdl.handle.net/10722/231024-
dc.description.abstract© 2016 Elsevier Ltd.The construction industry in China exerts significant environmental impacts and uses considerable resources because of rapid urbanization. This study conducted a structural path analysis (SPA) based on the multi-regional input-output table to quantify environmental impact transmission in the entire supply chain. Results indicated that the direct resource input (the first stage) along with on-site construction (the zeroth stage) consumed the highest amount of energy in the supply chain and accounted for approximately 50% of total energy consumption. Regional analysis showed that energy consumption in the construction industry at the provincial level was self-sufficient. Sectoral analysis demonstrated that the direct inputs from the sectors of "manufacture of non-metallic mineral products" and "smelting and pressing of metals" generated the most important energy flows, whereas the sectors of "production and distribution of electric power and heat power" and "extraction of petroleum and natural gas" significantly but indirectly influenced energy use. Sensitivity analysis exhibited that the system boundary of SPA could be narrowed down into the first two upstream stages that contained nearly 50% of energy flow information or expanded toward the first five upstream stages that represented 80% of total energy consumption.-
dc.languageeng-
dc.relation.ispartofEnergy Policy-
dc.subjectEnergy consumption-
dc.subjectMulti-regional input-output model-
dc.subjectConstruction industry-
dc.subjectStructural path analysis-
dc.titleA multi-regional structural path analysis of the energy supply chain in China's construction industry-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.enpol.2016.01.017-
dc.identifier.scopuseid_2-s2.0-84960920088-
dc.identifier.volume92-
dc.identifier.spage56-
dc.identifier.epage68-

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