Simulation-based smart emission reduction and energy security using renewable energy bonds, AI-green bonds, and incentive mechanisms
再生可能エネルギーボンド、AIグリーンボンド、インセンティブメカニズムを用いたシミュレーションに基づくスマート排出削減とエネルギー安全保障 (AI 翻訳)
Bo Zhao, Jafar Hussain, Zhenyu Qiu, Yiwei Li, QiLi Zhou
🤖 gxceed AI 要約
日本語
本研究は、500社の製造業者・代理店・小売業者からなるサプライチェーンにおけるスマート排出削減システムとエネルギー安全保障の採用が、CO2排出削減と収益性に与える影響を、ゲーム理論とシミュレーション最適化を用いて分析した。両方の採用が最も高い利益をもたらし、グリーンボンドと再生可能エネルギーボンドへのインセンティブが採用を促進することを示した。規制圧力よりも利益主導のインセンティブが重要であると結論付けた。
English
This study analyzes the impact of adopting Smart Emission Control Systems and Energy Security on CO2 reduction and profitability in a supply chain of 500 manufacturers, agents, and retailers using game theory and simulation-based optimization. It finds that combined adoption yields the highest profits, and incentives for green bonds and renewable energy bonds significantly boost adoption. Profit-driven incentives are more effective than regulatory pressure.
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GX文脈では、サプライチェーン全体での排出削減と収益性の両立は、SSBJ開示やScope 3対応に直結する。グリーンボンドや再生可能エネルギーボンドのインセンティブ設計は、日本のトランジション・ファイナンスやGX経済移行債の政策議論に示唆を与える。
In the global GX context
Globally, this paper contributes to the discourse on supply chain decarbonization and green finance, aligning with TCFD/ISSB disclosure expectations and the growing role of transition finance. The finding that profit-driven incentives outperform regulatory pressure offers insights for designing effective climate policies and corporate sustainability strategies.
👥 読者別の含意
🔬研究者:Provides a unified framework combining game theory and simulation for multi-tier sustainable supply chain decisions, useful for further research on green finance incentives.
🏢実務担当者:Highlights the financial benefits of adopting emission reduction technologies and green bonds, informing corporate sustainability and supply chain management strategies.
🏛政策担当者:Suggests that coordinated incentives and carbon pricing are more effective than regulation alone, guiding policy design for low-carbon industrial development.
📄 Abstract（原文）
This study examines the role of Smart Emission Control System and Energy Security in reducing carbon dioxide emissions and improving profitability in a supply chain consisting of 500 manufacturers, agents, and retailers. An integrated framework combining game theory, simulation-based optimization, and decision modeling was developed to analyze simultaneous adoption decisions among stakeholders. Four scenarios were evaluated. Without adopting Smart Emission Control System or Energy Security, profits remained low at 11, 12, and 14.5 million RMBs. Adoption of only Energy Security slightly improved profits to 11.8, 12.6, and 15.0 million RMBs, but high carbon dioxide emissions limited further gains. Adoption of only Smart Emission Control System reduced carbon-related costs and increased profits to 12.3, 13.2, and 15.4 million RMBs, demonstrating that emission-reduction technologies create financial benefits across the entire supply chain. The combined adoption of Smart Emission Control System and Energy Security generated the highest profits of 13.7, 14.8, and 17.1 million RMBs. The study also shows that incentives for Smart Emission Control Systems-based green bonds and renewable-energy-based Energy Security bonds significantly improve stakeholder profitability by reducing implementation and environmental compliance costs. Simultaneous incentives for both mechanisms provide stronger financial benefits than isolated incentives. The findings indicate that profit-driven incentives play a more important role than regulatory pressure in encouraging sustainable adoption decisions. This study contributes to supply chain management theory by integrating game theory, simulation-based optimization, and decision modeling into a unified framework for adaptive multi-tier sustainable decision making. The results suggest that coordinated incentives, carbon pricing, and policy subsidies are essential for promoting low-carbon industrial development and sustainable supply chain transformation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.ecmx.2026.102200first seen 2026-08-09 05:16:27
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