Mapping the Intersection of AI, Fintech, and Renewable Energy: A Bibliometric Analysis to Identify Research Gaps
摘要
In the last ten years, Artificial Intelligence (AI), Fintech, and Renewable Energy (RE) have seen substantial expansion, as the world has shown an interest in sustainable technology, financial innovation, and the energy transition. Yet, little has been done so far to put into focus the studies that combine all three realms, particularly in the Indian setting, where the dynamics of investment risk, policy, and climate are highly felt. To investigate the trends, key phrase clusters, cooperation networks, and impactful work at the crossroads of AI, Fintech, and Renewable Energy, this paper uses Scopus (2005–2024) as a bibliometric resource. Using applications like VOS viewer, the paper reveals that AI and RE and Fintech and AI are new areas, but there is no direct overlap between AI, Fintech, RE. India is a relatively small contributor to the overlap, with most works addressing Fintech or Renewable Energy, or AI, but rarely all three at the same time. Using the co-occurrence of keywords, citation networks, and country-level co-operation, the paper finds several gaps: no risk-assessment works have integrated AI and financial innovations in the context of RE; no works on the topic of India specifically have used explainable AI or policy-risk features; little is explained about why it has been used. The results encourage the development of new research designs and support the studies (such as ours) that utilize AI to model risks in renewable energy investment.