Southwestern University of Finance and Economics 55, Guanghuacun Street, Chengdu 611130, China.
Karakurum International University, Gilgit, Pakistan.
Sci Total Environ. 2020 Jul 20;727:138265. doi: 10.1016/j.scitotenv.2020.138265. Epub 2020 Apr 13.
We utilize extended STIRPAT "(stochastic impact of regression on population, affluence, and technology)" model to explore the impact of technological innovations and natural resources in energy-growth-environment nexus for a panel of BRICS "(i.e., Brazil, Russia, India, China, and South Africa)" economies over 1985-2014. Using Augmented Mean Group (AMG), and Fully Modified-Least Square (FM-LS) panel algorithms, the results indicate that technical innovations can reduce CO emissions and help to improve economic growth in BRICS countries. Furthermore, our estimates support energy push emissions and validate the existence of the traditional "environmental Kuznets curve (EKC)" for BRICS and partially across the countries. Moreover, the empirical results indicate one-way causality from income to CO; a two-way causal relationship is operational between income and energy use and between energy use and CO emissions in BRICS and individual countries. The results suggest that policymakers may consider the role of innovations as a clean source of technology to achieve energy security and a sustainable environment.
我们利用扩展的 STIRPAT（人口、富裕和技术对回归的随机影响）模型，探讨了技术创新和自然资源在金砖国家（巴西、俄罗斯、印度、中国和南非）经济能源-增长-环境关系中的作用。我们使用了广义矩估计（AMG）和全最小二乘法（FM-LS）面板算法，结果表明技术创新可以减少 CO 排放，有助于提高金砖国家的经济增长。此外，我们的估计支持能源推动排放，并验证了金砖国家和部分国家存在传统的“环境库兹涅茨曲线（EKC）”。此外，实证结果表明，收入与 CO 之间存在单向因果关系；收入与能源利用之间以及能源利用与 CO 排放之间存在双向因果关系在金砖国家和个别国家中。研究结果表明，政策制定者可能会考虑创新作为清洁能源技术的作用，以实现能源安全和可持续的环境。
