Wang Lei, Huang Yingliang, Ghafoor Abdul, Hafeez Muhammad, Salahodjaev Raufhon
Business School, Guilin University of Electronic Technology, Guilin, Guangxi, China.
Institute of Intelligent Machines, HFIPS, Chinese Academy of Sciences, Hefei, 230031, China.
Environ Sci Pollut Res Int. 2023 Jan;30(4):9841-9851. doi: 10.1007/s11356-022-22816-0. Epub 2022 Sep 5.
This study aims to examine the asymmetric impact of financial institutions and information and communication technologies (ICT) trade on renewable energy demand in BRICS economies by using the cross-sectionally augmented nonlinear autoregressive distributed lag model. The asymmetric estimates of the financial institutions index confirm that a positive shock increases renewable energy consumption, and a negative shock reduces renewable energy consumption in BRICS economies. Similarly, the long-run asymmetric estimates attached to ICT trade are positively significant, confirming that a positive shock increases renewable energy consumption and a negative shock hurts renewable energy consumption. As far as country-wise estimates are concerned, the long-run asymmetric estimates of financial institutions are significant in Brazil, Russia, China, and South Africa. Similarly, the asymmetric estimates attached to ICT trade are significant in Russia, China, India, and South Africa. The results are asymmetric in nature, implying that negative and positive shocks have different effects on renewable energy consumption. Therefore, policymakers should consider both negative and positive shocks in financial institutions and ICT trade while devising policies regarding environmental sustainability and renewable energy consumption.
本研究旨在通过使用横截面增强非线性自回归分布滞后模型，考察金融机构和信息通信技术（ICT）贸易对金砖国家经济体可再生能源需求的不对称影响。金融机构指数的不对称估计证实，正向冲击会增加可再生能源消费，而负向冲击会减少金砖国家经济体的可再生能源消费。同样，ICT贸易的长期不对称估计具有正向显著性，证实正向冲击会增加可再生能源消费，而负向冲击会损害可再生能源消费。就国别估计而言，金融机构的长期不对称估计在巴西、俄罗斯、中国和南非具有显著性。同样，ICT贸易的不对称估计在俄罗斯、中国、印度和南非具有显著性。结果本质上是不对称的，这意味着负向和正向冲击对可再生能源消费有不同的影响。因此，政策制定者在制定有关环境可持续性和可再生能源消费的政策时，应考虑金融机构和ICT贸易中的负向和正向冲击。
