气候变化研究进展

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气候风险压力测试:理论基础、方法体系与实践展望

任义方1,3,赵艳霞2,3,徐萌1   

  1. 1 江苏省气候中心,南京 210008;
    2 复旦大学大气与海洋科学系/大气科学研究院,上海 200438;
    3 中国气象局金融气象重点开放实验室,上海 200438
  • 收稿日期:2026-03-06 修回日期:2026-07-23 出版日期:2026-08-26 发布日期:2026-08-26
  • 通讯作者: 赵艳霞
  • 基金资助:
    中国气象局创新发展专项;中国气象局科技项目“揭榜挂帅”;中国气象局“金融气象”重点创新团队项目

Climate risk stress testing: theoretical foundation, methodological system and practical prospect

REN Yi-Fang1, 3, ZHAO Yan-Xia2, 3, XU Meng1   

  1. 1 Jiangsu Climate Center, Nanjing 210008, China;
    2 Department of Atmospheric and Oceanic Sciences/Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China;
    3 Key Laboratory of Financial Meteorology, China Meteorological Administration, Shanghai 200438,China
  • Received:2026-03-06 Revised:2026-07-23 Online:2026-08-26 Published:2026-08-26
  • Contact: Xia YanZhao

摘要: 全球气候变化引发的物理风险与低碳转型驱动的转型风险双重冲击,持续威胁金融体系稳定与产业可持续发展。气候风险压力测试是专门用于量化极端气候冲击、识别风险传导链条、测算潜在损失的专项风险管理工具,可为金融风险防控、产业转型及政策制定提供科学支撑。文中明确气候风险压力测试的内涵、特征与理论体系,以自上而下、自下而上两大经典范式搭建统一方法框架,系统拆解情景构建、实体-金融风险传导、量化建模等核心技术环节;梳理国内外监管与学术领域应用实践,剖析数据壁垒、情景适配不足、宏微观模型衔接不畅等现实难题,研判行业未来发展方向。研究表明,气候风险压力测试正朝着跨部门协同、量化精准化方向演进,我国需立足本土气候特征与产业结构,推进情景动态优化、模型耦合与跨领域数据融合,持续提升气候风险压力测试科学性与实操性,全面增强金融体系气候韧性。

关键词: 气候风险, 压力测试, 情景模拟, 风险传导, 量化评估

Abstract: The dual impacts of physical risks from global climate change and transition risks driven by low-carbon transformation continuously threaten the stability of the financial system and industrial sustainable development. As a special risk management tool, climate risk stress testing quantifies extreme climate shocks, identifies risk transmission chains and calculates potential losses, providing scientific support for financial risk prevention, industrial transformation and policy formulation. This paper clarifies the connotation, characteristics and theoretical system of climate risk stress testing, constructs a unified methodological framework based on two classic paradigms (top-down and bottom-up), and analyzes core technical links including scenario construction, real economy-financial risk transmission and quantitative modeling. It summarizes domestic and overseas application practices in supervision and academic research, and discusses practical difficulties such as data barriers, insufficient scenario adaptability, and poor connection between macro and micro models, finally prospects the future development trends. The research shows that climate risk stress testing is evolving toward cross-departmental collaboration and quantitative precision. Based on local climatic characteristics and industrial structure, China needs to promote dynamic scenario optimization, model coupling and cross-domain data integration to improve the scientificity and operability of testing, and comprehensively enhance the climate resilience of the financial system.

Key words: Climate risk, Stress testing, Scenario simulation, Risk transmission, Quantitative assessment

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