UNRAVELLING DYNAMICS AND CONNECTEDNESS: DISTINGUISHING THE INFLUENCE OF SUSTAINABLE FINANCE AND ARTIFICIAL INTELLIGENCE ON ENERGY SUSTAINABILITY IN CHINA

Chi Wei Su () and Meng Qin ()
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Chi Wei Su: Wuchang University of Technology, China
Meng Qin: Wuchang University of Technology, China

Bulletin of Monetary Economics and Banking, 2024, vol. 27, issue 4, 741-766

Abstract: This article examines the significant roles of sustainable finance and Artificial Intelligence (AI) in advancing China’s energy sustainability by employing the TVP-VAR-SV model to track dynamic interactions among the Green Bond Index (GBI), New Economy Index (NEI), and Energy-related Uncertainty Index (EUI). Findings indicate that both GBI and NEI reduce EUI, with GBI exerting a stronger influence due to its direct link to sustainable finance, underscoring its role in mitigating energy market uncertainties. EUI, however, negatively affects GBI, revealing that high energy uncertainty may impede sustainable finance progress. Interestingly, EUI has a mixed effect on NEI, suggesting that energy uncertainties can either drive or hinder AI development. GBI and NEI show a positive relationship, moving in tandem, emphasizing how sustainable finance and AI could collectively address energy challenges amid climate concerns and technological advancement.

Keywords: Sustainable finance; Artificial intelligence; Energy sustainability; Time varying; China (search for similar items in EconPapers)
JEL-codes: C32 O33 Q43 Q56 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:idn:journl:v:27:y:2024:i:4h:p:741-766

DOI: 10.59091/2460-9196.2418

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