标题:An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China
作者:Hu, Yi-Chung ;Jiang, Hang ;Jiang, Peng ;Kong, Peiyi
通讯作者:Jiang, Hang
作者机构:[Hu, Yi-Chung ] Department of Business Administration, Chung Yuan Christian University, Taoyuan, Taiwan;[Jiang, Peng ] School of Business, Shandong Un 更多
会议名称:6th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
会议日期:July 26, 2019 - July 31, 2019
来源:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版年:2019
卷:11589 LNCS
页码:354-366
DOI:10.1007/978-3-030-22338-0_29
摘要:A new method for discussing the relationship between CO2 emissions and bilateral FDI is proposed using grey systems theory. CO2 emissions and bilateral FDI, GDP are separately regarded as the input to, and output of, a grey system to establish a grey multivariable Verhulst model, GVM(1,N). To improve the prediction accuracy, the residual modification model are combined to the original GVM(1,N) model. Based on data relating to CO2 emissions and bilateral FDI, GDP in China from 2001 to 2014, empirical research shows that the bilateral FDI help reduce CO2 emissions, whereas the GDP results in CO2 emissions.
© 2019, Springer Nature Switzerland AG.
收录类别:EI
资源类型:会议论文
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