绿色金融破局关键：科技与金融深度融合

Group 1 - The core viewpoint of the articles emphasizes the necessity of integrating green finance with technological innovation to facilitate sustainable development and address climate change challenges [1][4]. - Experts at the forum highlighted that green transformation cannot rely solely on policy or donations, but must establish a sustainable business logic, focusing on efficient capital allocation [1][2]. - Green finance tools can lower project costs, solve incentive compatibility issues, and diversify risks, which are essential for the feasibility of green projects [2][3]. Group 2 - Green finance tools can reduce the financing costs of green projects, making previously unfeasible projects viable, as demonstrated by case studies such as the issuance of transformation bonds by China Bank [2][3]. - Sustainable development-linked loans are an innovative financial tool that adjusts interest rates based on ESG performance, incentivizing companies to improve their environmental standards [3][4]. - The physical and transition risks posed by climate change are significant factors affecting financial stability, with China experiencing rapid temperature increases and extreme weather events [4][5]. Group 3 - A climate risk assessment framework is proposed to evaluate the financial impact of companies' adaptability to climate risks, integrating non-financial data and smart technology to enhance risk prediction accuracy [5][6]. - The data landscape in green finance has fundamentally changed, requiring risk assessment models to match the complexity of new data types, including text and multi-modal information [6]. - Current practices among small and medium banks involve a dual approach of traditional statistical models for compliance and deep learning models for enhanced predictive performance, with a future focus on integrating macroeconomic insights [6].