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Building and Measuring an Evaluation Framework for Transition Finance Under the Dual Carbon Vision--Taking the Power Industry as an Example

デュアルカーボン目標下での移行金融評価枠組みの構築と測定：電力産業を例として (AI 翻訳)

Xiao Zhenyu, Xin Xueling, Li Yue, He Qianshan

Crossrefプレプリント2025-10-27#トランジション・ファイナンスOrigin: CN
DOI: 10.20944/preprints202510.2044.v1
原典: https://doi.org/10.20944/preprints202510.2044.v1

🤖 gxceed AI 要約

日本語

本論文は、中国の「カーボンピーキング・カーボンニュートラル」目標のもと、電力産業における移行金融の評価枠組み（DFSRモデル）を構築し、64社のデータをエントロピー重み付きTOPSIS法で分析。推進力と対応が重要であり、企業間格差が課題であることを示した。

English

This paper develops a DFSR model framework for transition finance evaluation in China's power industry, assessing 64 firms using Entropy Weight-TOPSIS. Key findings: driving force and response are critical dimensions; development is slow with significant internal disparities. Offers insights for high-carbon industries' green transition.

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

日本では移行金融の評価枠組みが未確立であり、本論文のDFSRモデルはSSBJや有報での移行計画開示に応用可能。電力業界の事例は日本のGX実務に示唆を与える。

In the global GX context

This paper provides a structured evaluation framework for transition finance, relevant to global disclosure standards (ISSB, TCFD) and transition finance taxonomies. The power industry case offers a replicable methodology for assessing transition progress in high-carbon sectors.

👥 読者別の含意

🔬研究者:Provides a novel evaluation framework (DFSR) and empirical evidence on transition finance in China's power sector, useful for comparative studies.

🏢実務担当者:Offers a 15-indicator system to assess transition finance performance, applicable for corporate sustainability teams in power and other high-carbon industries.

🏛政策担当者:Highlights the role of policy support and capital allocation in driving transition finance, informing regulatory design for green transition.

📄 Abstract（原文）

Under the national vision of actively implementing "carbon peaking and carbon neutrality," this paper introduces the DFSR model framework and constructs a 15-item evaluation index system for transition finance in the power industry across three dimensions: Driving Force (D), State (S), and Response (R) to construct a 15-item evaluation framework for transition finance in the power industry. The Entropy Weight-TOPSIS method was applied to comprehensively assess the transition finance development data of 64 Chinese power enterprises. Furthermore, the Theil index was employed to analyze disparities and imbalances in transition finance development levels. Results indicate: (1) Driving Force and responses are core dimensions for enhancing transition finance development in power enterprises, with capital allocation efficiency and policy support intensity serving as key influencing indicators; (2) China'spower industry exhibits slow growth in transition finance development, with pronounced internal divergence and uneven progress; (3) Development disparities among enterprises with identical core production assets (thermal power or renewable energy) constitute the primary constraint on transition finance advancement in China's power industry. This research holds significant implications for the green transition of high-carbon industries, enabling sectors to adopt the power industry as a transformative paradigm and pioneer new pathways toward sustainable development.

🔗 Provenance — このレコードを発見したソース

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。