气象×金融的探索—温州工业气候贷实践及改进

Exploration of meteorology × finance: Practice and improvement of Wenzhou industrial climate loan

  • 摘要: 气候变化通过物理风险与转型风险双重渠道对实体经济造成广泛冲击,并进一步传导至金融体系,系统性影响银行风控、资产估值及保险赔付等领域。然而,现有天气风险管理工具往往需要企业承担较高资金成本;同时,绿色投融资工具普遍仅支持“纯绿”或“浅绿”项目,其环境评估体系也多忽视具体气候风险敞口,难以精准量化微观企业的实际风险状况。气候贷作为一项融合气象科学与金融信用的创新工具,致力于弥补现有气候融资机制与银行风控体系的不足。基于气象与金融跨部门数据,通过构建综合气象灾害风险等级、大气自净能力、灾害防御能力、气候可行性论证和低碳效能等5个维度的气候友好型企业评价指标体系,采用加权叠加法建立综合风险评估模型,量化企业气象风险敞口与气候适应能力,实现气象数据向信贷决策依据的转化。研究表明,气候贷通过实施差异化信贷政策,为气候友好型企业提供利率优惠,有效降低企业融资成本;构建的评估体系准确识别企业气候风险,引导企业提升防灾减灾能力并增强低碳转型动力。通过将气候韧性纳入信用评价框架,扩展了银行信贷风险量化维度,为气候投融资提供了可量化、可推广的实践路径,也为构建气候适应型社会提供了重要政策参考。

     

    Abstract: Climate change exerts profound impacts on the real economy through both physical and transition risks, which in turn transmit these effects to the financial system, systematically influencing areas such as bank risk management, asset valuation, and insurance payouts. However, existing weather risk management tools often impose high capital costs on enterprises, while green financing instruments typically support only "pure green" or "shallow green" projects. Their environmental assessment systems frequently overlook specific climate risk exposures, making it difficult to accurately quantify the actual risk conditions of individual enterprises. The "climate loan", as an innovative tool integrating meteorological science and financial credit, aims to address the shortcomings of current climate financing mechanisms and bank risk management systems. Based on cross-sectoral meteorological and financial data, this study constructs a comprehensive evaluation framework for climate-friendly enterprises across five dimensions: Meteorological disaster risk level, atmospheric self-cleaning capacity, disaster defense capability, climate feasibility assessment, and low-carbon efficiency. Using a weighted overlay method, a comprehensive risk assessment model is developed to quantify enterprises' meteorological risk exposures and climate adaptation capabilities, thereby transforming meteorological data into a basis for credit decision-making. The research demonstrates that the climate loan effectively reduces corporate financing costs by implementing differentiated credit policies for climate-friendly enterprises. The established evaluation system accurately identifies climate risks of various enterprises, guiding them to enhance disaster prevention and mitigation capabilities while strengthening their low-carbon transformation momentum. By incorporating climate resilience into the credit evaluation framework, this study expands the dimensions of bank credit risk quantification, providing a quantifiable and scalable practical pathway for climate financing. It also offers crucial policy references for building a climate-adaptive society.

     

/

返回文章
返回