Digital sparks for a greener future: Unleashing the potential of information and communication technologies in green energy transition
文献类型： 外文期刊
作者： Luo, Shunjun 1 ; Chishti, Muhammad Zubair 4 ; Beata, Szetela 6 ; Xie, Peijun 7 ;
作者机构： 1.Guangzhou Univ, Sch Management, Guangzhou 510006, Guangdong, Peoples R China
2.Guangdong Acad Agr Sci, Inst Agr Econ & Informat, Guangzhou 510640, Guangdong, Peoples R China
3.Minist Agr & Rural Affairs, Key Lab Urban Agr South China, Guangzhou 510640, Guangdong, Peoples R China
4.Zhengzhou Univ, Sch Business, Zhengzhou, Henan, Peoples R China
5.Quaid I Azam Univ, Sch Econ, Islamabad, Pakistan
6.Rzeszow Univ Technol, Fac Management, Dept Quantitat Methods, PL-35959 Rzeszow, Poland
7.Hunan Univ Finance & Econ, Accounting Sch, Changsha 410205, Peoples R China
关键词： Green energy; Information and communication technologies; Quantile-quantile regression; Continuous-wavelet transformation causality; Top green economies
期刊名称：RENEWABLE ENERGY （ 影响因子：8.7； 五年影响因子：8.4 ）
ISSN： 0960-1481
年卷期： 2024 年 221 卷
页码：
收录情况： SCI
摘要： The current article examines the asymmetric impacts of information and communication technology (ICT) on the energy transition within the top ten green energy-consuming nations. This study employs various advanced econometric tests and methodologies for analytical purposes, utilizing quarterly data from 1990 to 2020. The results reveal the asymmetric effects of ICT on the energy transition across the sampled economies. For instance, the energy transition process benefits from increased ICT installation in the cases of Canada, France, Italy, Japan, and the UK while looking at lower to higher quantiles. However, in the cases of China, Germany, Spain, and the USA, ICT enhances and hinders green energy production across different quantiles. Conversely, India consistently experiences adverse effects of ICT on its energy transition throughout all quantiles. Additionally, a continuous wavelet transformation causality test is applied to validate the reliability of the quantile-quantile regression (QQR) estimates. The causality test results suggest a significant causal link between ICT and renewable energy (RE) in all cases, underscoring the robustness and reliability of these findings for informing policy recommendations. Consequently, based on these findings, the study puts forth several noteworthy policy recommendations for the relevant authorities.
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