Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101207
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorZheng, Sen_US
dc.creatorAlvarado, Ven_US
dc.creatorXu, Pen_US
dc.creatorLeu, SYen_US
dc.creatorHsu, SCen_US
dc.date.accessioned2023-08-30T04:15:52Z-
dc.date.available2023-08-30T04:15:52Z-
dc.identifier.issn0921-3449en_US
dc.identifier.urihttp://hdl.handle.net/10397/101207-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2018 Elsevier B.V. All rights reserved.en_US
dc.rights© 2018. 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 Zheng, S., Alvarado, V., Xu, P., Leu, S. Y., & Hsu, S. C. (2018). Exploring spatial patterns of carbon dioxide emission abatement via energy service companies in China. Resources, Conservation and Recycling, 137, 145-155 is available at https://doi.org/10.1016/j.resconrec.2018.06.004.en_US
dc.subjectCarbon dioxide emissions abatementen_US
dc.subjectEnergy service companies (ESCOs)en_US
dc.subjectSpatial analysisen_US
dc.titleExploring spatial patterns of carbon dioxide emission abatement via energy service companies in Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage145en_US
dc.identifier.epage155en_US
dc.identifier.volume137en_US
dc.identifier.doi10.1016/j.resconrec.2018.06.004en_US
dcterms.abstractThe disparity of carbon dioxide emission abatement (CDEA) has been impeding more balanced improvement of energy efficiency worldwide. Energy service companies (ESCOs), which are present to varying degrees, have come to play an increasingly key role in reducing CO2 emission via energy efficiency retrofit projects. China, as the main contributor to carbon dioxide (CO2) emissions, has been promoting ESCOs for decades. This study aims to identify the factors influencing the spatial differences for CDEA and assess the provincial-level potentials for reducing CO2 emissions through ESCOs. Data from 3225 ESCO projects in Mainland China spanning from 2011 to 2015 were examined to map out the spatial patterns of CDEA using local Moran's I index and local indicator spatial autocorrelation. Influencing factors were identified through spatial analysis based on Kaya identity and ordinary least squares. The results indicate that the national progress of CDEA can be attributed to the high efficiency of ESCO projects in coastal and northern China. It was observed that population, consumption of coal, and research & development input have a positive influence on CDEA, whereas per-capita GDP, energy industry investment, and industry value added have an inhibitory effect on CDEA.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationResources, conservation and recycling, Oct. 2018, v. 137, p. 145-155en_US
dcterms.isPartOfResources, conservation and recyclingen_US
dcterms.issued2018-10-
dc.identifier.scopus2-s2.0-85048416764-
dc.identifier.eissn1879-0658en_US
dc.description.validate202308 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-1674-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6845367-
dc.description.oaCategoryGreen (AAM)en_US
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