{"title":"Analysis and Research on the Adjustment of Energy Consumption Structure Based on the “Dual Carbon” Target","authors":"L. Rui","doi":"10.1109/DCABES57229.2022.00016","DOIUrl":null,"url":null,"abstract":"In response to China's “dual-carbon” goal committed in the Paris Agreement and the United Nations Framework Convention on Climate Change, this paper takes the panel data published in the China Statistical Yearbook 2021 as the object, and studies an application of GM(1,1) combined with weakening buffer filtering as a predictive method for validating “dual-carbon” targets. Through the scenario analysis of adjusting the proportion of energy consumption structure without affecting the development of the economy and people's livelihood, this method can give the feasibility of China's realization of the “dual carbon” goal. The verification results also show that the adjustment method of scenario analysis 2 given in this paper can provide an effective scientific reference way for the government and related industries to realize the “dual carbon” target.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES57229.2022.00016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In response to China's “dual-carbon” goal committed in the Paris Agreement and the United Nations Framework Convention on Climate Change, this paper takes the panel data published in the China Statistical Yearbook 2021 as the object, and studies an application of GM(1,1) combined with weakening buffer filtering as a predictive method for validating “dual-carbon” targets. Through the scenario analysis of adjusting the proportion of energy consumption structure without affecting the development of the economy and people's livelihood, this method can give the feasibility of China's realization of the “dual carbon” goal. The verification results also show that the adjustment method of scenario analysis 2 given in this paper can provide an effective scientific reference way for the government and related industries to realize the “dual carbon” target.