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Developing an Islamic Carbon Insurance Model Integrating Artificial Intelligence: A Literature-Based Framework

人工知能を統合したイスラム炭素保険モデルの開発：文献ベースのフレームワーク (AI 翻訳)

Mu’allim Syifa’ Al Qulubi, Desiyanti Sagita Rachmahdewi, Muhamad Said Fathurrohman, R. T. Ratnasari

International Journal of Business Events and Legacies📚 査読済 / ジャーナル2026-04-01#炭素価格
DOI: 10.63007/iqtc6157
原典: https://doi.org/10.63007/iqtc6157

🤖 gxceed AI 要約

日本語

本研究は、炭素取引の価格変動リスクに対処するため、シャリーア準拠の炭素保険モデルを文献レビューに基づいて提案する。AIを活用した保険料決定とリスク分担の概念を特徴とし、保険実務者や規制当局に示唆を与える。SDGs13および8に貢献する。

English

This study proposes a Sharia-compliant carbon insurance model based on a literature review to address price volatility risks in carbon trading. It features AI-guided premium determination and risk-sharing, offering insights for insurance practitioners and regulators. The model supports SDGs 13 and 8.

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

日本の炭素市場では保険商品の開発は初期段階にあり、リスク分担の視点は参考になる。ただし、イスラム金融の枠組みは日本では一般的でないため、直接的な応用は限定的。

In the global GX context

As carbon markets expand globally, this paper introduces a novel approach to carbon insurance that integrates AI and Sharia compliance. It addresses risk management gaps and offers a foundation for developing carbon insurance products in various regulatory contexts.

👥 読者別の含意

🔬研究者:Researchers can explore the integration of AI with Sharia-compliant insurance models in carbon markets.

🏢実務担当者:Insurance companies may consider developing carbon insurance products based on the risk-sharing and AI framework.

🏛政策担当者:Regulators can use the scientific basis to formulate carbon insurance regulations and support market stability.

📄 Abstract（原文）

Carbon trading is globally implemented, but price volatility influenced by several factors creates risks for businesses in the carbon market. Without financial protection, these risks could cause losses for stakeholders. Therefore, this study aims to create a Sharia-compliant carbon insurance model. The research employs an actuarial approach to calculate the claim risks from business actors in carbon trading, providing a basis for AI-guided premium determination. The methodology involves a Scopus-indexed literature review and content analysis to extract information regarding carbon trading. The expected outcome is the development of a Sharia-compliant model based on a risk-sharing concept and the return of underwriting surplus to policyholders. This research has implications for insurance practitioners, serving as a recommendation for companies to contribute to carbon trading. For the government, it offers a scientific basis for developing regulations on carbon insurance. Furthermore, this study supports SDGs 13 (Climate Action) and 8 (Decent Work and Economic Growth). Sharia-compliant carbon insurance helps to smooth carbon trading, which works to reduce greenhouse gas emissions. At the same time, it supports financial inclusivity in the carbon market, ultimately contributing to economic growth.

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