Examining the driving factors of CO2 emissions using the STIRPAT model: the case of Algeria

被引：36
|
作者：
Chekouri, Sidi Mohammed [1 ]
Chibi, Abderrahim [1 ]
Benbouziane, Mohamed [2 ]
机构：
[1] Univ Ctr Maghnia, Inst Econ & Management, Dept Econ, Tilimsen, Algeria
[2] Univ Tlemcen, Fac Econ & Management, Dept Econ, Tilimsen, Algeria
来源：
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY | 2020年 / 39卷 / 10期
关键词：
CO2; emissions; urbanisation; STIRPAT model; partial least squares regression (PLS); variable importance in projection (VIP); Algeria; IMPACT FACTORS; ENERGY USE; POPULATION; URBANIZATION; MULTICOLLINEARITY; REGRESSION; SELECTION; INCOME; PANEL;
D O I：
10.1080/14786451.2020.1770758
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：
In order to curb carbon emissions and develop a low carbon development plan in Algeria, it is crucial to shed light on influencing factors of carbon emissions. In view of this, a stochastic impact by regression on population, affluence, and technology model is conducted to identify the determinant factors driving CO(2)emissions in Algeria during the period 1971-2016. The method of partial least squares regression is applied to eliminate multicollinearity problems. The results indicate that the population has a positive and significant effect on CO(2)emission. The energy use is found to be the second most contributing factor to CO(2)emissions followed by urbanisation and affluence (GDP per capita).
引用
收藏
页码：927 / 940
页数：14
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