The Multi-factor Multi-region Decomposition Method for Carbon Emission Reduction

被引：0

作者：

Ding, Can ^{[1
]}

Li, Jing ^{[2
]}

He, Dong ^{[1
]}

机构：

[1] Xihua Univ, Chengdu 610064, Sichuan, Peoples R China

[2] Sichuan Acad Social Sci, Chengdu 610064, Sichuan, Peoples R China

来源：

PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT | 2017年 / 502卷

关键词：

Carbon emission reduction; Multi-factor; Multi-region; Decomposition method; ENERGY-CONSUMPTION; ELECTRICITY-GENERATION; CO2; EMISSIONS; POWER SECTOR; COUNTRIES; ASIA; INTENSITIES; PACIFIC;

D O I：

10.1007/978-981-10-1837-4_84

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The carbon emission reduction has become a matter of grave concern all over the world. How to decompose the carbon emission reduction task effectively is the key to achieving the target successfully. In this paper, we will propose the multi-factor multi-region decomposition method for carbon emission reduction, which can take both many factors that influence carbon emissions, and different characteristics of each region into consideration. A combination weight method is used to calculate the weights of the indicators. Finally, the result of the empirical study shows the efficiency of the proposed method.

引用

页码：1009 / 1026

页数：18

共 20 条

[1] Comparison of energy intensities in European Union countries.: Results of a structural decomposition analysis [J].