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

页码：927 / 940

页数：14

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