Debt Risk Prevention and Control for Industrial Enterprises in Achieving Carbon Neutrality from the Perspective of Fiscal and Financial Synergy
財政と金融の協調の視点から見た炭素中立達成における産業企業の債務リスク予防と管理 (AI 翻訳)
Lei Wang, Tao Hu, Xuan Jiang, Tingqiang Chen, Shuaibin Wang, Han Sun
🤖 gxceed AI 要約
日本語
財政・金融政策の協調枠組みのもと、複雑ネットワーク分析とセルオートマトンを組み合わせ、産業企業間の債務リスク伝染モデルを構築。数値シミュレーションにより、炭素税・財政補助・グリーンクレジット比率などの政策変数が基本再生産数に与える影響を分析し、協調介入が単独政策より効果的であることを示した。
English
Within a coordinated fiscal-financial policy framework, this study constructs a debt risk contagion model for industrial enterprises using complex network analysis and cellular automata. Numerical simulations reveal that carbon tax, fiscal subsidies, and green credit ratios influence the basic reproduction number, and coordinated intervention is more effective than single policy tools.
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
日本ではカーボンプライシング導入やGX経済移行債など財政・金融の協調が進む中、企業債務リスクの伝播メカニズムをモデル化した本稿は、政策設計や企業のリスク管理に示唆を与える。ただし、中国の政策文脈に基づくため、日本への適用には調整が必要。
In the global GX context
This paper contributes to global discourse on climate policy and financial stability by modeling debt risk contagion under carbon pricing and green credit policies. It offers a framework for policymakers to assess the combined effects of fiscal and financial interventions, relevant to jurisdictions implementing carbon taxes and green finance initiatives.
👥 読者別の含意
🔬研究者:Provides a novel modeling approach for debt risk contagion under climate policies, useful for extending to other contexts.
🏢実務担当者:Offers insights into how carbon tax and green credit policies may affect corporate debt risk, informing risk management strategies.
🏛政策担当者:Highlights the importance of coordinated fiscal and financial policies in mitigating debt risk during the transition to carbon neutrality.
📄 Abstract（原文）
Within a coordinated fiscal financial policy framework, this study combines complex network analysis with cellular automata to construct a contagion model of debt risk across industrial enterprises. It then uses numerical simulations to examine the dynamic evolution and mitigation strategies of debt risk contagion. The results show that the following: (1) As the contagion probability, immunity failure probability, and contagion probability of immune enterprises increase, debt risk contagion among industrial enterprises is strengthened, whereas higher immunity probability and recovery probability improve network stability. (2) Market noise, carbon tax rate, credit interest rate, and risk preference increase the basic reproduction number relative to the critical boundary of one, whereas fiscal subsidy intensity, green credit ratio, and risk assessment capability reduce it. Within the normalized simulation framework, a carbon tax rate around 0.3, fiscal subsidy intensity around 0.15, and green credit ratio around 0.5 serve as illustrative model-based reference values for interpreting changes in debt risk contagion pressure and risk-mitigation effects. (3) Coordinated fiscal–financial intervention can more effectively reduce R0 and narrow the contagion scope than a single policy tool, suggesting that debt risk prevention should combine fiscal support, green credit allocation, risk assessment improvement, and carbon-policy rhythm management.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/systems14080952first seen 2026-08-08 04:55:31
🔔 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。