Using STIRPAT Model to Analyze Impact Factors on CO2 Emissions of China

被引：0
|
作者：
Wang, Jianjun [1 ]
Li, Li [2 ]
机构：
[1] North China Elect Power Univ, Beijing, Peoples R China
[2] Beijing Informat Sci & Technol Univ, Beijing, Peoples R China
来源：
INTERNATIONAL JOINT CONFERENCE ON APPLIED MATHEMATICS, STATISTICS AND PUBLIC ADMINISTRATION (AMSPA 2014) | 2014年
关键词：
PROVINCE;
D O I：
暂无
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
In this paper, STIRPAT model is employed to analyze the impacts of population, affluence and technology on CO2 emissions of China. From the regression statistical method, the result shows that when the population, affluence and technology change 1%, the CO2 emissions will change 1.253, 1.076, and 1.077 respectively. Our final suggestions show that, China should enhance the R&D's investment and increase the energy efficiency, optimize the energy structure and enlarge the scope of renewable energy's utilization to relief its CO2 emissions pressure in the future.
引用
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页码：1 / 5
页数：5
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