gxceed
← 論文一覧に戻る

Unlocking Private Investment for Sustainable Infrastructure in the Pacific Islands: Japan’s JCM and ESG Innovation

太平洋島嶼国における持続可能なインフラへの民間投資解放:日本のJCMとESGイノベーション (AI 翻訳)

Noriyuki Segawa, Suliasi Vunibola, Viliame Kasanawaqa

Sustainability📚 査読済 / ジャーナル2026-06-13#トランジション・ファイナンスOrigin: JP経営インパクト: 資金調達対象セクター: cross_sector
DOI: 10.3390/su18126100
原典: https://doi.org/10.3390/su18126100
📄 PDF

🤖 gxceed AI 要約

日本語

本論文は、太平洋島嶼国における持続可能なインフラ開発への民間投資を促進するため、改訂版JCMとESG原則を統合した枠組みを提案する。従来の政府間クレジット配分を企業に変更することで、市場取引を通じた収益化を可能にし、ESG先進市場では企業価値向上の戦略的手段として機能する。このアプローチは、伝統的な援助依存モデルからの脱却と、企業利益と持続可能性目標の一致を実現する。

English

This paper proposes a framework integrating ESG principles with a revised Joint Credit Mechanism (JCM) to attract private investment in sustainable infrastructure in Pacific Island countries. By allocating carbon credits to Japanese companies instead of the government, corporations can monetize credits through market transactions, creating incentives. In ESG-advanced markets, credits serve strategic corporate value enhancement. The approach moves beyond donor-dependent models, aligning corporate interests with sustainability and emission reduction goals.

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

本論文は、日本のJCMを企業単位のカーボンクレジット分配に改訂することで、日本企業のESG投資と気候変動対策への民間資金動員を促進する。日本政府の国際協力と企業の脱炭素経営を結びつける政策連携の可能性を示唆。

In the global GX context

The paper addresses a critical challenge in climate finance: mobilizing private capital for sustainable infrastructure in developing nations. By linking carbon markets with ESG incentives, it offers a model applicable beyond the Pacific Islands, relevant to global discussions under Article 6 of the Paris Agreement and transition finance.

👥 読者別の含意

🔬研究者:Highlights a novel integration of bilateral carbon mechanisms with ESG corporate incentives, offering a framework for empirical study on private climate finance mobilization.

🏢実務担当者:Japanese companies can explore carbon credit monetization under a revised JCM as a tool for ESG enhancement and investor confidence, relevant for sustainability teams.

🏛政策担当者:Policymakers should consider revising JCM rules to allow direct corporate credit allocation, aligning national climate commitments with private sector engagement.

📄 Abstract(原文)

Developing countries in which infrastructure development is heavily dependent on overseas development aid face significant sustainability challenges, including financing gaps and inadequate maintenance. Increasing private-sector investment is crucial for addressing these challenges. This paper proposes an innovative framework linking environmental, social, and governance (ESG) principles with a revised joint credit mechanism (JCM) to attract private investment in infrastructure development, particularly in Pacific Island countries facing the climate crisis. Under the revised JCM, by allocating generated carbon credits to participating Japanese companies, rather than the Japanese government, corporations can monetise credits through market transactions, creating compelling economic incentives for private-sector engagement. In ESG-advanced markets, credits serve as strategic instruments for corporate value enhancement beyond revenue generation, while corporations require continuous credit acquisition to sustain investor confidence. Our revised framework provides a sustainable solution to both financing gaps and infrastructure maintenance challenges. Our analysis demonstrates that integrating market dynamics and corporate incentives into bilateral climate mechanisms holds substantial potential for mobilising private capital for sustainable climate infrastructure finance. This approach represents a promising departure from traditional donor-dependent models, effectively aligning corporate interests with sustainable development objectives while advancing national emission reduction commitments.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

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。