Mperejekumana Philbert, Shen Lei, Shuhan Hu, Nyirarwasa Anathalie, Nsigayehe Jean Marie Vianney, Sun Wenhao
Key Laboratory for Resource Use and Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
Key Laboratory for Resource Use and Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC, Islamabad, 45320, Pakistan; Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing, 101149, China.
J Environ Manage. 2024 Nov;370:122877. doi: 10.1016/j.jenvman.2024.122877. Epub 2024 Oct 11.
As Africa grapples with the challenges of energy access, economic growth, urbanization and industrialization, as well as the environmental degradation, the adoption of renewable energy technologies emerges as a promising solution. Therefore, this article examines the effects of socioeconomic growth and renewable energy integration on environmental sustainability in 32 African countries using the auto-regressive distributed lag (ARDL) model, nonlinear ARDL (NARDL) model, and Dumitrescu and Hurlin causality. The findings demonstrate that urbanization, industrialization, and economic growth all contribute to environmental deterioration. The ARDL model estimation shows that for every 1% increase in economic growth, industrialization, and urbanization, there will be a 1% rise in CO, respectively. Similarly, the results indicate that an additional 1% in economic growth and industrialization is expected to result in a 0.14% and 0.02% increase in ecological footprint, respectively. The NARDL model shows that industrialization significantly contribute into the CO increase, while renewable energy consumption decreases ecological footprint. Moreover, the causality test revealed the bidirectional causality between industrialization and CO, and urbanization and ecological footprint. Renewable energy consumption in both models showed the potential to enhance environmental quality, underscoring the significance of integrating renewable energy with socioeconomic development to support sustainable development.
随着非洲努力应对能源获取、经济增长、城市化和工业化挑战以及环境退化问题，采用可再生能源技术成为一个有前景的解决方案。因此，本文运用自回归分布滞后（ARDL）模型、非线性ARDL（NARDL）模型以及杜米特雷斯库和胡林因果关系检验，研究了社会经济增长和可再生能源整合对32个非洲国家环境可持续性的影响。研究结果表明，城市化、工业化和经济增长都会导致环境恶化。ARDL模型估计显示，经济增长、工业化和城市化每增加1%，二氧化碳排放量将分别增加1%。同样，结果表明经济增长和工业化每额外增加1%，预计生态足迹将分别增加0.14%和0.02%。NARDL模型表明，工业化显著导致二氧化碳增加，而可再生能源消费则减少生态足迹。此外，因果关系检验揭示了工业化与二氧化碳、城市化与生态足迹之间的双向因果关系。两个模型中的可再生能源消费都显示出改善环境质量的潜力，凸显了将可再生能源与社会经济发展相结合以支持可持续发展的重要性。
