Institute of Applied Systems Analysis (IASA), School of Mathematics, Jiangsu University, Zhenjiang, 212013, Jiangsu, People's Republic of China.
Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Environ Sci Pollut Res Int. 2021 Oct;28(40):56865-56891. doi: 10.1007/s11356-021-14598-8. Epub 2021 Jun 2.
Growing economic development and substantial demographic shifts may have a momentous consequence on environmental quality in a number of African countries. Consequently, this recent study offers the opportunity to explore the nexus among unobserved influential economic indicators and environmental quality (measured through CO emissions) in a panel of 26 African economies spanning from 1990 to 2018. The aggregated panel is sub-classified into net exporters (NEC) and net importers (NIC) of embodied carbon. Considering existence of cross-section reliance and heterogeneity issues, all observed series are preliminarily confirmed stationary and cointegrated. Further, key outcomes from the common correlated effect Pooled Mean Group (CCEPMG) estimator through cross-sectional autoregressive distributed lag (CSARDL) approach showed that (i) economic growth and fossil fuel energy use stimulate environmental degradation among all panels, (ii) urbanization and trade openness enhance environmental quality in NEC panel while environmental damage is increased in NIC and aggregated panels, (iii) financial development also enhanced environmental quality in the totaled and NEC panel of African countries, but rather maturated climate deterioration in NIC panel, (iv) industrialization had a substantial adverse effect on environmental quality through surge in emission of CO concerning the aggregated panel and NEC African states, and (v) overall the environmental Kuznets curve (EKC) conjuncture is validated among all panels. The findings were also affirmed by Augmented Mean Group (AMG) technique. Finally, Dumitrescu-Hurlin Granger causality checks showed strong causal affiliations heterogeneously across all panels. From the policy perspective, the analytical outcomes from this study summarily encourage the introduction of profitable policies that can facilitate green energy and economic structural change to diminish the degree of environmental degradation from emission of CO. Steps to strengthen a low-carbon and sustainable green environment should therefore collectively address these factors during policy growth.
经济的不断增长和人口结构的重大转变可能会对许多非洲国家的环境质量产生重大影响。因此,本研究旨在探索 26 个非洲国家 1990 年至 2018 年期间未观测到的影响经济指标与环境质量(通过 CO2 排放量衡量)之间的关系。在将总面板分组为净出口国(NEC)和净进口国(NIC)的情况下,将聚合面板分为净出口国(NEC)和净进口国(NIC)。考虑到横截面依赖和异质性问题的存在,所有观察到的序列初步被确认是平稳和协整的。此外,通过横截面自回归分布滞后(CSARDL)方法的共同相关效应聚平均组(CCEPMG)估计量的关键结果表明:(i)经济增长和化石燃料能源使用在所有面板中刺激了环境恶化;(ii)城市化和贸易开放度在 NEC 面板中提高了环境质量,而 NIC 和总面板中则加剧了环境破坏;(iii)金融发展也提高了非洲国家总面板和 NEC 面板的环境质量,但在 NIC 面板中,气候恶化的成熟度更高;(iv)工业化通过 CO2 排放量的增加对环境质量产生了实质性的不利影响,这与总面板和 NEC 非洲国家有关;(v)所有面板均验证了环境库兹涅茨曲线(EKC)假设。这些发现也得到了增广平均组(AMG)技术的证实。最后,杜米特雷斯库-胡林格兰杰因果检验表明,所有面板都存在异质的强因果关系。从政策角度来看,本研究的分析结果简要鼓励引入有利可图的政策,以促进绿色能源和经济结构的转变,减少 CO2 排放造成的环境恶化程度。因此,在政策制定过程中,应共同采取措施加强低碳和可持续的绿色环境。