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Dual-Leverage Effects of Embeddedness and Emission Costs on ESCO Financing: Engineering-Driven Design and Dynamic Decision-Making in Low-Carbon Supply Chains

埋め込み効果と排出コストがESCOファイナンスに与える二重レバレッジ効果:低炭素サプライチェーンにおけるエンジニアリング駆動型設計と動的意思決定 (AI 翻訳)

Liurui Deng, Lingling Jiang, S. Gan

Mathematics📚 査読済 / ジャーナル2026-02-01#サプライチェーンOrigin: Global
DOI: 10.3390/math14030522
原典: https://doi.org/10.3390/math14030522

🤖 gxceed AI 要約

日本語

本研究は、炭素クォータ取引政策とエネルギー性能契約(EPC)を背景に、ESCOの資金調達モード(銀行融資、グリーンボンド、内部ファクタリング)がサプライチェーンの排出削減効率と経済的利益に与える影響を分析。Stackelbergゲームモデルを用いて、埋め込み度と排出削減コスト係数の影響を明らかにした。グリーンボンドは高埋め込み度で全体削減率を高めるが、ESCOはコスト圧力から銀行融資を選好する。排出削減投資コスト係数の動的変化が資金調達選好に逆転効果をもたらすことを示した。

English

This study analyzes the impact of ESCO financing modes (bank, green bond, internal factoring) on supply chain emission reduction efficiency and economic benefits under carbon quota trading and EPC. Using a multi-agent Stackelberg game model, it reveals that green bond financing increases overall emission reduction rates in high-embedding scenarios, but ESCOs prefer bank financing due to cost pressure. Dynamic changes in emission reduction cost coefficients can trigger a reversal of financing preferences.

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GX政策や炭素価格制度の下でESCO市場が拡大している。本論文は、サプライチェーン全体の排出削減とESCO資金調達の最適化に関する理論的枠組みを提供し、日本の企業や政策立案者にとって示唆に富む。

In the global GX context

This paper contributes to the global discourse on supply chain decarbonization and green finance. It offers a game-theoretic model to analyze ESCO financing choices under carbon pricing, which is relevant for jurisdictions implementing carbon markets and promoting energy performance contracting.

👥 読者別の含意

🔬研究者:Provides a novel Stackelberg game model linking embedding degree, emission cost, and financing mode in low-carbon supply chains.

🏢実務担当者:Offers insights for ESCOs and supply chain managers on selecting financing modes under carbon quota policies.

🏛政策担当者:Highlights how subsidy and green bond policies can influence ESCO financing preferences and overall emission reduction.

📄 Abstract(原文)

Against the backdrop of carbon quota trading policies and Energy Performance Contracting (EPC), Energy Service Companies (ESCOs) engage in supply chain emission reduction via embedded low-carbon services. However, the impact mechanism of their financing mode selection on emission reduction efficiency and economic benefits has not been fully revealed, and there is a lack of support from a systematic theoretical and engineering design framework. Therefore, this study innovatively constructs a multi-agent Stackelberg game model with bank financing, green bond financing, and internal factoring financing. We incorporate the embedding degree, emission reduction cost coefficient, and financing mode selection into a unified analysis framework. The research findings are as follows: (1) There is a significant positive linear relationship between supply chain profit and the embedding degree. In contrast, the profit of ESCOs shows an inverted “U-shaped” change trend. Moreover, there is a sustainable cooperation threshold for each of the three financing modes. (2) Green bond financing can significantly increase the overall emission reduction rate of the industrial supply chain in high-embedding-degree scenarios. However, due to emission reduction investment cost pressure, ESCOs tend to choose bank financing. (3) The dynamic change of the emission reduction investment cost coefficient will trigger a reversal effect on the financing preferences of the supply chain and ESCOs. This study unveils the internal mechanism of multi-party decision-making in the low-carbon industrial supply chain and is supported by cross-country institutional evidence and comparative case-based analysis, providing a scientific basis and engineering design guidance for optimizing ESCO financing strategies, crafting incentive contracts, and enhancing government subsidy policies.

🔗 Provenance — このレコードを発見したソース

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