CO2 emissions, urban population, energy consumption and economic growth in selected African countries: A Panel Smooth Transition Regression (PSTR)

被引:24
|
作者
Mosikari, Teboho Jeremiah [1 ]
Eita, Joel Hinaunye [2 ]
机构
[1] North West Univ, Dept Econ, Mafikeng Campus, Mmabatho, South Africa
[2] Univ Johannesburg, Coll Business & Econ, Sch Econ, Johannesburg, South Africa
关键词
GDP growth; carbon emissions; threshold level;
D O I
10.1111/opec.12184
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study investigates the non-linear impact of urban population, energy consumption and economic growth on carbon emissions in selected African economies, for the period 2005-2019. The investigation is conducted through the application of non-linear panel smooth transition regression (PSTR) estimation technique. The results reveal a rejection of the null hypothesis of linearity, in favour of non-linearity. The results provide evidence of the presence of environmental Kuznets curve (EKC). Energy consumption has a positive impact on carbon emissions in both regimes. An increase in urban population causes a reduction in carbon emissions. The study recommends that in an effort to accelerate economic growth, policymakers should implement policies aimed at achieving low carbon mechanisms, such as green infrastructure and renewable energy systems, which reduce energy consumption and greenhouse gas emissions. It is therefore important for the selected African economies to come up with programmes that crease awareness about the risk of carbon emissions.
引用
收藏
页码:319 / 333
页数:15
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