Emerging Financial Mechanisms for Energy Transition: Blockchain, Crowdfunding, and Green FinTech Solutions – A Bibliometric Analysis

Emerging Financial Mechanisms for Energy Transition: Blockchain, Crowdfunding, and Green FinTech Solutions – A Bibliometric Analysis

Souhaila EL ASRI, Mimoun BENALI

Abstract. The global transition to renewable energy requires substantial capital mobilization beyond conventional banking channels. This systematic bibliometric investigation examines 1,245 scientific publications addressing innovative financing approaches through blockchain technology, crowdfunding platforms, and green fintech solutions. Using data from the Scopus database covering the period 2018-2025, we systematically assessed publication trends, international collaboration structures, and conceptual frameworks shaping this field. Our results demonstrate remarkable expansion, with publication output increasing sevenfold between 2018 and 2024. Chinese research institutions contribute to approximately 40,2% of global scientific output, while thematic clustering reveals five main research streams. By identifying leading organizations, influential researchers, and developing concepts including asset tokenization and decentralized energy trading, this investigation provides evidence-based guidance for advancing research agendas and informing climate finance policy development.

Keywords
Renewable Energy Financing, Blockchain, Crowdfunding, Green Fintech, Bibliometric Analysis, Energy Transition, Digital Finance

Published online 4/25/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Souhaila EL ASRI, Mimoun BENALI, Emerging Financial Mechanisms for Energy Transition: Blockchain, Crowdfunding, and Green FinTech Solutions – A Bibliometric Analysis, Materials Research Proceedings, Vol. 64, pp 1121-1128, 2026

DOI: https://doi.org/10.21741/9781644904091-138

The article was published as article 138 of the book Energy Futures

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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