Institute of Climate and Environment, SIMAD University, Mogadishu, Somalia.
Environ Sci Pollut Res Int. 2023 Apr;30(19):55782-55798. doi: 10.1007/s11356-023-26364-z. Epub 2023 Mar 11.
Emission reduction has become more crucial for environmental sustainability in light of the growing concerns about climate change. Many studies have identified that structural change and clean energy technologies improve environmental quality. However, there is an absence of empirics that focus on the sub-Saharan Africa (SSA) context, which shifted the structure of their economies from the agriculture sector towards sophisticated manufacturing activities that affect the environment. Hence, this study aims to investigate the impacts of economic complexity and renewable energy consumption on carbon emissions in 41 SSA countries between 1999 and 2018. The study adopts contemporary heterogeneous panel approaches to overcome heterogeneity and cross-sectional dependence issues that usually arise in panel data estimates. The empirical findings of the pooled mean group (PMG) cointegration analysis indicate that renewable energy consumption alleviates environmental pollution in the long run and short run. In contrast, economic complexity improves environmental quality in the long run but not in the short run. On the other hand, economic growth contributes adversely to environmental degradation in the long run and short run. The study indicates that urbanization worsens environmental pollution in the long run. In addition, the outcomes of the Dumitrescu-Hurlin panel causality test indicate a unidirectional causal path from carbon emissions to renewable energy consumption. The causality results also suggest that carbon emission has bidirectional causation with economic complexity, economic growth, and urbanization. Therefore, the study recommends that SSA countries change their economic structure towards knowledge-intensive production and adopt policies that encourage investment in renewable energy infrastructures by subsidizing the initiatives to achieve clean energy technologies.
减少排放对于环境可持续性变得更加重要,因为人们对气候变化的担忧日益加剧。许多研究已经确定,结构变化和清洁能源技术可以改善环境质量。然而,对于撒哈拉以南非洲(SSA)地区的实证研究还很少,该地区的经济结构已经从农业部门向影响环境的复杂制造业活动转移。因此,本研究旨在探讨经济复杂性和可再生能源消费对 1999 年至 2018 年期间 41 个 SSA 国家碳排放的影响。该研究采用现代异质面板方法来解决面板数据估计中通常出现的异质性和横截面依赖性问题。 pooled mean group(PMG)协整分析的实证结果表明,可再生能源消费从长期和短期来看都可以减轻环境污染。相比之下,经济复杂性从长期来看可以改善环境质量,但从短期来看则不行。另一方面,经济增长从长期和短期来看都对环境恶化有不利影响。该研究表明,城市化从长期来看会加剧环境污染。此外,Dumitrescu-Hurlin 面板因果关系检验的结果表明,从碳排放到可再生能源消费存在单向因果关系。因果关系的结果还表明,碳排放与经济复杂性、经济增长和城市化之间存在双向因果关系。因此,本研究建议 SSA 国家将经济结构转向知识密集型生产,并采取鼓励投资可再生能源基础设施的政策,通过补贴清洁能源技术的举措来实现这一目标。