File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: The China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level

TitleThe China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level
Authors
KeywordsElectricity power consumption
Household carbon emissions
Low-carbon strategies
Nighttime light data
Rapid accounting
Issue Date2022
Citation
Renewable and Sustainable Energy Reviews, 2022, v. 155, article no. 111825 How to Cite?
AbstractA large proportion of carbon emissions emitted by human activities is from the household sector. Efforts to control such carbon emissions need a timely accounting. We attempt to establish a rapid accounting China Carbon Watch (CCW) system, through which we use an alternative solution for accounting household carbon emissions in China by applying monthly nighttime light (NTL) data. The compiled carbon emission accounting method is considered as timely with high accuracy by employing a 1-km grid dataset built from point-emission sources. The heterogeneities of carbon emissions in both urban and rural sectors are presented. Furthermore, this research calculates monthly data of urban and rural household carbon emissions at the provincial level from January to May 2020. Results show that the overall household carbon emissions slightly increased during the COVID-19 forced confinement due to the closure of international borders and the confinement of urbanists with significant heterogeneity between provinces.
Persistent Identifierhttp://hdl.handle.net/10722/333519
ISSN
2021 Impact Factor: 16.799
2020 SCImago Journal Rankings: 3.522

 

DC FieldValueLanguage
dc.contributor.authorDu, Mengbing-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorXia, Lang-
dc.contributor.authorCao, Libin-
dc.contributor.authorZhang, Zhe-
dc.contributor.authorZhang, Li-
dc.contributor.authorZheng, Heran-
dc.contributor.authorCai, Bofeng-
dc.date.accessioned2023-10-06T05:20:08Z-
dc.date.available2023-10-06T05:20:08Z-
dc.date.issued2022-
dc.identifier.citationRenewable and Sustainable Energy Reviews, 2022, v. 155, article no. 111825-
dc.identifier.issn1364-0321-
dc.identifier.urihttp://hdl.handle.net/10722/333519-
dc.description.abstractA large proportion of carbon emissions emitted by human activities is from the household sector. Efforts to control such carbon emissions need a timely accounting. We attempt to establish a rapid accounting China Carbon Watch (CCW) system, through which we use an alternative solution for accounting household carbon emissions in China by applying monthly nighttime light (NTL) data. The compiled carbon emission accounting method is considered as timely with high accuracy by employing a 1-km grid dataset built from point-emission sources. The heterogeneities of carbon emissions in both urban and rural sectors are presented. Furthermore, this research calculates monthly data of urban and rural household carbon emissions at the provincial level from January to May 2020. Results show that the overall household carbon emissions slightly increased during the COVID-19 forced confinement due to the closure of international borders and the confinement of urbanists with significant heterogeneity between provinces.-
dc.languageeng-
dc.relation.ispartofRenewable and Sustainable Energy Reviews-
dc.subjectElectricity power consumption-
dc.subjectHousehold carbon emissions-
dc.subjectLow-carbon strategies-
dc.subjectNighttime light data-
dc.subjectRapid accounting-
dc.titleThe China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.rser.2021.111825-
dc.identifier.scopuseid_2-s2.0-85119448525-
dc.identifier.volume155-
dc.identifier.spagearticle no. 111825-
dc.identifier.epagearticle no. 111825-
dc.identifier.eissn1879-0690-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats