Framework for fostering blockchain-based carbon trading applications in the construction industry: learning from cross-sectoral insights
建設業におけるブロックチェーンベースのカーボン取引アプリケーションを促進するフレームワーク：セクター横断的洞察からの学習 (AI 翻訳)
Navodana Rodrigo, Srinath Perera, Dilmi Atapattu
🤖 gxceed AI 要約
日本語
建設業は炭素取引の導入が遅れているが、ブロックチェーン技術により透明性や効率性を向上できる可能性がある。本論文はPRISMA手法を用いて260件の文献を分析し、他産業の知見を基に建設業向けのブロックチェーン統合型炭素取引フレームワークを提案する。このフレームワークは建設業の炭素エコシステム強化と脱炭素化目標の加速に貢献する。
English
This study addresses the lack of carbon trading adoption in the construction industry by leveraging blockchain technology. Using a systematic review of 260 publications, it develops a framework integrating cross-sectoral insights to enhance transparency, efficiency, and governance of carbon trading in construction, aiming to accelerate decarbonization.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では建設業も温室効果ガス排出削減が求められているが、炭素取引の活用は限定的。本稿のブロックチェーンを活用した枠組みは、サプライチェーンが複雑な日本建設業界においても排出量の可視化と取引効率化に寄与する可能性があり、日本のGX政策との親和性が高い。ただし、日本の制度設計への応用にはさらなる検討が必要。
In the global GX context
Global carbon trading markets are expanding, but construction lags. This paper's blockchain framework offers a scalable solution to improve carbon credit tracking and transaction integrity, relevant for jurisdictions like the EU ETS or voluntary markets. It provides a pathway for integrating digital technologies into climate disclosure and offset mechanisms.
👥 読者別の含意
🔬研究者:Provides a systematic review and framework for blockchain-carbon trading in construction, useful for researchers in digital sustainability and carbon markets.
🏢実務担当者:Construction firms exploring carbon offset strategies can adopt the proposed framework to enhance supply chain transparency and carbon credit management.
🏛政策担当者:Policymakers can consider blockchain infrastructure to support carbon trading in hard-to-abate sectors like construction, improving market integrity.
📄 Abstract（原文）
Purpose Low profit margins, high turnover and heavily transaction-oriented nature of the construction industry hinder the opportunities for innovations in low-carbon mechanisms. The complex and lengthy supply chains created by the involvement of multiple stakeholders make carbon emissions tracking complicated. The construction industry lacks a mature carbon ecosystem, even if there are inevitable inherent carbon emissions in material use that require carbon offset. Meanwhile, carbon trading allows such offsets, yet its adoption is markedly limited in the construction industry. In contrast, other industries engage in advanced carbon trading practices, supported by technologies such as blockchain, enabling greater transparency, efficiency and governance. This study aims to examine the potential of blockchain technology in enhancing carbon trading practices in the construction industry through cross-sectoral insights. Design/methodology/approach Using a preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework, a total of 260 publications were examined to extract quantitative trends, while 72 were reviewed for thematic insights. Findings The findings revealed that blockchain-integrated carbon trading research is a growing research domain. Several industries have researched improving transparency, efficiency and governance of carbon trading through blockchain integrations. A framework is developed to enhance carbon trading practices in construction, offering practical pathways for strengthening its carbon ecosystem and accelerating decarbonisation goals. Originality/value This study bridges the gap in existing theories on how cross-sectoral insights can be used to enhance carbon trading in construction. This study holds practical significance for the construction industry, since blockchain-enabled carbon trading offers data-driven solutions to accelerate the transition to a decarbonised construction industry.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1108/ci-10-2025-0455first seen 2026-05-15 18:24:19
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。