Factor Influence on Energy Carbon Emissions: a Case of Upper Reaches of The Yangtze River of China

被引：0
|
作者：
Rao, Guangming [1 ]
Han, Xu [1 ]
Zhu, Yanping [2 ]
机构：
[1] Chongqing Technol & Business Univ, Res Ctr Econ Upper Reaches Yangtze River, Chongqing 400067, Peoples R China
[2] Chongqing Technol & Business Univ, Sch Entrepreneurship, Chongqing 400067, Peoples R China
来源：
2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING (ICAESEE 2019) | 2020年 / 446卷
关键词：
CO2; EMISSIONS;
D O I：
10.1088/1755-1315/446/3/032035
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper adopts STIRPAT model with ridge regression to estimate factor influence on energy carbon emissions with the case of the upper reaches of the Yangtze River of China. The result shows that seven factors have positive but different influence on energy carbon emissions, which impact coefficient of population is 5.559, and respectively is secondary industry value-added (1.054), CO2 emissions intensity (0.597), productivity (0.416), GDP per capita (0.352), urban employment (0.309) and urbanization (0.221). For improvement of factor influence on energy carbon emissions, it is urgent to promote industrial low carbon transition, encourage R&D of low carbon technologies for clean production and advocate low carbon urbanization and life.
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页数：5
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