Agyeman Fredrick Oteng, Gyamfi Kedjanyi Emmanuel Adu, Sampene Agyemang Akwasi, Dapaah Malcom Frimpong, Monto Abdul Razak, Buabeng Paul, Guimatsie Samekong Guy Carlos
School of Management, Jiangsu University, Zhenjiang, 212013, PR China.
School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, Jiangsu Province, 210044, PR China.
Heliyon. 2023 May 29;9(6):e16423. doi: 10.1016/j.heliyon.2023.e16423. eCollection 2023 Jun.
The core intent of the present study seeks to probe the connection linking environmental technology innovation (ENVTI), economic growth (ECG), financial development (FID), trade openness (TROP), urbanization (URB) and energy consumption (ENC) on environmental pollution (ENVP) by employing 27 chosen African economies panel data. These variables merit critical attention when implementing decarbonization policies and significantly safeguarding a country's well-being in pursuit of massive industrialization and economic expansion. The fully modified ordinary least squares (FMOLS), the dynamic ordinary least square (DOLS), and the pooled mean group (PMG) estimation techniques were utilized to analyze the series from 2000 through 2020. This research used the FMOLS for long-run connections interaction of the variables, while the DOLS and PMG were used for robustness checks. Further, the Pedroni, Kao, and Westerlund cointegration approaches were employed to determine cointegration in the series. Also, the cross-sectional Im, Pesaran, and Shin (CIPS) and the cross-sectional augmented Dickey-Fuller (CADF) unit root testing approaches were utilized to check the stationarity of the series. Again, the stochastic impact on regression, population, affluence, and technology (STIRPAT) model, and the environmental Kuznets curve (EKC) was used as the theoretical framework supporting this research. The findings of the long-run analysis give credence to the EKC assumption demonstrating that a significant long-term ECG will support the decrease in ENVP when nations experience increases in the level of income. Further, this study found that ENVTI and URB are conducive to reducing ENVP in the long run. The current research finding is sensitive to the respective nations' income levels. This empirical research furnishes prudent policies tailored for the respective countries' pursuit of ECG and reducing ENVP.
本研究的核心目的是通过运用27个选定的非洲经济体的面板数据，探究环境技术创新（ENVTI）、经济增长（ECG）、金融发展（FID）、贸易开放度（TROP）、城市化（URB）和能源消耗（ENC）与环境污染（ENVP）之间的联系。在实施脱碳政策以及在追求大规模工业化和经济扩张过程中切实保障国家福祉时，这些变量值得高度关注。采用完全修正普通最小二乘法（FMOLS）、动态普通最小二乘法（DOLS）和混合平均组（PMG）估计技术，对2000年至2020年的序列进行分析。本研究使用FMOLS来分析变量的长期联系，而DOLS和PMG用于稳健性检验。此外，采用佩德罗尼、考和韦斯特伦德协整方法来确定序列中的协整关系。同时，运用横截面伊姆、佩萨兰和申（CIPS）以及横截面增强迪基 - 富勒（CADF）单位根检验方法来检验序列的平稳性。再者，将随机影响回归、人口、富裕程度和技术（STIRPAT）模型以及环境库兹涅茨曲线（EKC）用作支持本研究的理论框架。长期分析的结果证实了EKC假设，表明当各国收入水平提高时，显著的长期经济增长将有助于减少环境污染。此外，本研究发现环境技术创新和城市化从长期来看有利于减少环境污染。当前的研究结果对各国各自的收入水平较为敏感。这项实证研究为各国追求经济增长和减少环境污染提供了审慎的政策建议。
