Authors: GOURAV KAMBOJ¹ and Dr. SAKSHI BATHLA²

Abstract

The convergence of artificial intelligence, fintech and sustainable finance has augmented the transformation of global financial systems, yet the intellectual structure and thematic evolution of this emerging domain remain fragmented across disciplinary and jurisdictional boundaries. Addressing this gap, the present study integrates bibliometric analysis with systematic literature review techniques to synthesize the rapidly expanding scholarship on AI-enabled digital green finance published during 2020-2025. Drawing upon 341 Scopus-indexed articles for bibliometric mapping and 80 rigorously screened studies for thematic synthesis, this study employs Biblioshiny and VOSviewer to examine publication trends, influential authors, countries, collaborative networks, co-citation structures and thematic trajectories. The analysis identifies five dominant research clusters (a) AI-driven ESG analytics and sustainability reporting, (b) blockchain-enabled transparency mechanisms, (c) green fintech and financial inclusion, (d) AI-based climate-risk and sustainable investment systems and governance, (e) ethics and algorithmic accountability in digital green finance. The findings indicate a sharp expansion of the domain post 2020, driven primarily by sustainability-transition agendas, fintech innovation and data-centric ESG governance. Despite this growth, substantial gaps persist regarding explainable AI, longitudinal causal evidence, institutional heterogeneity and inclusive green-finance ecosystems. By integrating science mapping with thematic synthesis, the study contributes to a consolidated intellectual framework and future research agenda while offering policy and managerial insights for sustainable digital-finance governance.

Keywords: Digital Green Finance, Artificial Intelligence, Sustainable Finance, Fintech, ESG, Bibliometric Analysis, Systematic Literature Review, Climate Finance.

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