A Research on Industry-related CO2 Emissions in Hebei Province: Driven Factors and Policy Implications

被引：0
|
作者：
Wen, Lei [1 ]
Liu, Yan-Jun [1 ]
Zhang, Er-Nv [1 ]
机构：
[1] North China Elect Power Univ, Baoding 071003, Hebei, Peoples R China
来源：
2015 2ND INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE (ICSS 2015) | 2015年
关键词：
Industrial CO2 Emissions; STIRPAT Model; the Ridge Regression; IMPACT FACTORS; STIRPAT MODEL; POPULATION; URBANIZATION; CONSUMPTION; CHINA;
D O I：
暂无
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
Improving energy utilization ratio and reducing CO2 emissions are required in the future industry to satisfy ecological balance. This study aims at identifying the driven factors of the industry related CO2 emissions in Hebei Province of China from 1995 to 2013. An improved STIRPAT model is established considering the number of employed persons in industries, economic development degree, technology level, industrial structure and energy proportion. Additionally, the explanatory abilities of each driven are analyzed to ensure the local control of industry related CO2 emissions. The results also can be applied by other province to make study about driven factors of the growth of carbon emissions in industry system.
引用
收藏
页码：228 / 232
页数：5
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