 Are artificial intelligence and blockchain the key to unlocking the box of clean energy?Shengyao Yang, Meng Nan Zhu and Haiyan Yu Energy Economics, 2024, vol. 134, issue C Abstract: 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. Keywords: Artificial intelligence; Blockchain; Clean energy; Wavelet decomposition; Quantile on quantile regression (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:134:y:2024:i:c:s0140988324003244 DOI: 10.1016/j.eneco.2024.107616 Access Statistics for this article Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant More articles in Energy Economics from Elsevier |
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