发表期刊：Energy Economics
发表时间：June 2024
作者及单位：Shengyao Yang, Meng Nan Zhu*(School of Economics, Xiamen University), Haiyan Yu(School of Economics, Xiamen University）
摘要：The fourth industrial revolution has brought about key technological breakthroughs represented by artificial intelligence (AI) and blockchain (BC), which provide an opportunity for the development of clean energy (CE). We employ a wavelet-based quantile-on-quantile approach to investigate the correlation among AI, BC and CE over different periods and time horizons. The results show that although the integration of AI and CE systems requires a lot of time, it can significantly boost CE development in the long run. However, BC cannot significantly promote CE development except for a few extreme periods. Our results are supported by the mechanism of interaction among AI, BC and CE development, which highlights their relationship. Therefore, the government should focus on promoting the development of new information technologies and their integration with the CE system, which is crucial for the implementation of energy transition strategies. In addition, low-carbon investors should focus on these technologies because of their relationship with CE.
关键词：Artificial intelligence; Blockchain; Clean energy; Wavelet decomposition; Quantile on quantile regression
