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 increase awareness about the risk of carbon emissions.

中文翻译：

---

某些非洲国家的CO2排放量，城市人口，能源消耗和经济增长：面板平稳过渡回归（PSTR）

这项研究调查了2005-2019年期间某些非洲经济体中城市人口，能源消耗和经济增长对碳排放的非线性影响。通过应用非线性面板平滑过渡回归（PSTR）估算技术进行调查。结果表明，拒绝非线性原假设，而倾向于非线性。结果提供了存在环境库兹涅茨曲线（EKC）的证据。在这两种制度下，能源消耗都对碳排放产生积极影响。城市人口的增加导致碳排放量的减少。该研究建议，为了加快经济增长，决策者应实施旨在实现低碳机制的政策，例如绿色基础设施和可再生能源系统，减少能源消耗和温室气体排放。因此，对于某些选定的非洲经济体来说，重要的是要提出一些计划，以提高人们对碳排放风险的认识。