POWERING ENERGY SECURITY: THE ESSENTIAL ROLES OF GREEN FINANCE AND ARTIFICIAL INTELLIGENCE
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Authors:
• Chi Wei Su, email: cwsu7137@gmail.com, Afiliation: Qingdao University, Qingdao, China
• Meng Qin, email: meng575316928@126.com, Afiliation: Qingdao University, Qingdao, ChinaPages:
• 55|74 -
Keywords: energy security, green finance, artificial intelligence, time-dependent
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Abstract:
A thorough examination of the essential roles of green finance (GF) and artificial intelligence (AI) is crucial for enhancing energy security (ES). By utilising the TVP-VAR-SV framework, the paper reveals the dynamic interactions among the index of GF, AI, and ES, under the influence of the World Uncertainty Index (WUI). Our findings indicate that in the initial phase, GF has a detrimental influence on ES, but this impact reverses to become beneficial in the subsequent second and third stages, highlighting a notable lag in its positive impact. Similarly, AI’s influence on ES starts off negatively in the early and second stages before turning positive in the third stage, with an even more pronounced delay in its positive impact. GF consistently demonstrates a positive and promotional effect on AI. Conversely, AI’s influence on GF is positive in the first phase but becomes more complex, with alternating positive and negative influences in the subsequent stages. Furthermore, WUI exhibits both positive and negative effects on ES, affirming its validity as a control variable to some extent. Against the backdrop of growing uncertainties in the global energy landscape, this study proposes strategic pathways to enhance the role of GF and AI in strengthening ES.
