Understanding the impact of Fintech, and Mineral Resources on Artificial Intelligence currency: A global evidence from QARDL Approach

Lina Song, Wenting Li, Yandi Yang, Hongyu Gao, Xinqiang Du and Xinlin Jia

Resources Policy, 2024, vol. 95, issue C

Abstract: A global urge has been sought in recent times regarding identifying solutions that can assist in mitigating environmental pollution. Moreover, the economies are looking towards environmentally friendly financial means, renewable energy sources, and all kinds of clean and green initiatives that could counter the trajectory of global warming. Among those potential solutions, the current study explores the relevancy of Fintech, Mineral and environmentally friendly financial resources on Artificial Intelligence-based currency. The global time series daily data from 2019 to 2023 was extracted, and the application of Quantile Auto Regressive Distributed Lag (QARDL) was made for empirical analysis, which, by connecting the quantiles, leads to better and more detailed exploration of relationships. The findings revealed that Fintech, Mineral and Financial Resources play complementary roles towards Artificial Intelligence-based currency in both the long and short run. In accordance with the findings, government institutions are advised to devise legal and operational frameworks that assist in the penetration of Artificial Intelligence-based currency, Fintech, and environmentally friendly financial resources.

Keywords: Fintech; Mineral resources; Artificial intelligence; Currency; QARDL (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:95:y:2024:i:c:s0301420724005257

DOI: 10.1016/j.resourpol.2024.105158

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