| Issue |
SHS Web Conf.
Volume 231, 2026
7th International Symposium on Frontiers of Economics and Management Science (FEMS 2026)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/shsconf/202623101013 | |
| Published online | 19 May 2026 | |
Assessing Blockchain’s Suitability for ESG Disclosure: A Risk-Cluster Literature Review
Curtin University, Singapore, Singapore
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
As ESG disclosure requirements tighten, markets and regulators increasingly demand information that is verifiable and traceable. Blockchain is suggested to be a supporting infrastructure because of its decentralization, immutability and traceability. Prior studies have argued that blockchain may reduce information asymmetry, limit greenwashing, and support audit trails. However, blockchain is neither automatically trustworthy nor environmentally friendly; therefore, drawing on a risk-cluster lens, this paper critically reviews the literature and identifies three implementation risk clusters shaped by (A) risks related to monitoring, reporting and verification (MRV) quality and measurement frameworks alignment, (B) risks around privacy, data subject rights and accountability, and (C) risks linked to energy use, cost structures and the inclusion of smaller or weaker actors. This paper integrates these risks and their control conditions, and proposes a suitability assessment framework to determine when blockchain can generate sustainable net benefits in specific ESG disclosure scenarios, and to provide insights for internal control design and regulatory practices.
Key words: Blockchain / ESG disclosure / MRV (measurement, reporting and verification) / Data privacy / Energy use and cost / Internal controls
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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