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Article: Mitigation strategy of Eastern China based on energy-source carbon emission estimation

TitleMitigation strategy of Eastern China based on energy-source carbon emission estimation
Authors
KeywordsCarbon emission
Eastern China
Peak prediction
Scenario analysis
STIRPAT model
Issue Date2021
Citation
Huanjing Kexue Xuebao Acta Scientiae Circumstantiae, 2021, v. 41, n. 3, p. 1142-1152 How to Cite?
AbstractEastern China is the most developed region in our nation, and its carbon emission accounts for half of the total carbon emission of China. Therefore, it is of great significance to predict the carbon emissions from the region for assessing whether China can achieve the peaking target or not. Based on the panel data of 11 eastern provinces from 1997 to 2017, this paper uses STIRPAT model to predict the carbon emissions of the 11 eastern provinces under different scenarios, and analyzes the possible peaks of carbon emission. It is found that among the 11 eastern provinces, 7 provinces may reach their emission peaks before 2030. Among them, Beijing and Shanghai will have the carbon emission peak early with the peak time at 2022, while the other 4 provinces are difficult to reach the peak before 2030. As a whole, the peaking time of carbon emission in the eastern China is between 2028 and 2033, and the peak is between 5018.03 × 106 t to 5497.20 × 106 t. Overall, it is possible for the eastern China to reach the emission peak around 2030, which is important to achieve the China's peaking target. Meanwhile, considering the differences of the carbon emission peak, China should formulate differentiated mitigation targets according to the local situations of these eastern provinces.
Persistent Identifierhttp://hdl.handle.net/10722/369358
ISSN
2023 SCImago Journal Rankings: 0.196

 

DC FieldValueLanguage
dc.contributor.authorPan, Dong-
dc.contributor.authorLi, Nan-
dc.contributor.authorLi, Feng-
dc.contributor.authorFeng, Kuishuang-
dc.contributor.authorPeng, Lulu-
dc.contributor.authorWang, Zhen-
dc.date.accessioned2026-01-22T06:16:48Z-
dc.date.available2026-01-22T06:16:48Z-
dc.date.issued2021-
dc.identifier.citationHuanjing Kexue Xuebao Acta Scientiae Circumstantiae, 2021, v. 41, n. 3, p. 1142-1152-
dc.identifier.issn0253-2468-
dc.identifier.urihttp://hdl.handle.net/10722/369358-
dc.description.abstractEastern China is the most developed region in our nation, and its carbon emission accounts for half of the total carbon emission of China. Therefore, it is of great significance to predict the carbon emissions from the region for assessing whether China can achieve the peaking target or not. Based on the panel data of 11 eastern provinces from 1997 to 2017, this paper uses STIRPAT model to predict the carbon emissions of the 11 eastern provinces under different scenarios, and analyzes the possible peaks of carbon emission. It is found that among the 11 eastern provinces, 7 provinces may reach their emission peaks before 2030. Among them, Beijing and Shanghai will have the carbon emission peak early with the peak time at 2022, while the other 4 provinces are difficult to reach the peak before 2030. As a whole, the peaking time of carbon emission in the eastern China is between 2028 and 2033, and the peak is between 5018.03 × 10<sup>6</sup> t to 5497.20 × 10<sup>6</sup> t. Overall, it is possible for the eastern China to reach the emission peak around 2030, which is important to achieve the China's peaking target. Meanwhile, considering the differences of the carbon emission peak, China should formulate differentiated mitigation targets according to the local situations of these eastern provinces.-
dc.languageeng-
dc.relation.ispartofHuanjing Kexue Xuebao Acta Scientiae Circumstantiae-
dc.subjectCarbon emission-
dc.subjectEastern China-
dc.subjectPeak prediction-
dc.subjectScenario analysis-
dc.subjectSTIRPAT model-
dc.titleMitigation strategy of Eastern China based on energy-source carbon emission estimation-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.13671/j.hjkxxb.2020.0325-
dc.identifier.scopuseid_2-s2.0-85103970117-
dc.identifier.volume41-
dc.identifier.issue3-
dc.identifier.spage1142-
dc.identifier.epage1152-

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