55页|中国上市公司ESG价值核算报告（2025年）

Group 1 - The report titled "2025 China Listed Companies ESG Value Accounting Report" was jointly released by the China Association of Public Companies and Zeyang Tianxia (Beijing) Management Consulting Co., Ltd, summarizing recent research and practical progress in environmental and social impact accounting [1][2] - The number of ESG reports published by A-share and Hong Kong Stock Exchange listed companies continues to grow, with key indicator disclosure rates improving year by year, and data quality significantly enhanced [1][2] - In 2024, the number of companies achieving an A-grade for carbon dioxide emission data increased by over 50% compared to 2022, indicating a positive trend in ESG performance [1][2] Group 2 - The report analyzes the application of ESG value accounting in the investment field, confirming the effectiveness of various ESG value accounting indicators through factor analysis, which shows that most indicators have good stability and correlation [1][2] - An investment portfolio constructed using ESG risk opportunity value as a stock selection factor demonstrated positive excess returns in backtesting, indicating the practical application value of ESG value accounting data in investment strategies [1][2] Group 3 - ESG value accounting supports dual materiality analysis, helping companies optimize information disclosure and management decisions, with the national standard "Guidelines for Corporate Sustainable Value Accounting" promoting the standardization of ESG value accounting [2][8] - Internationally, the Capitals Coalition and the International Foundation for Valuing Impact (IFVI) announced multiple integration guidelines in 2024, aiming to build a global unified value accounting database [2][8] Group 4 - The report highlights that the number of companies creating positive social value is continuously increasing, with a decline in environmental and resource usage intensity [1][2] - The report also emphasizes the importance of ESG value accounting in corporate operations, aiding in the identification of key value nodes and optimizing resource allocation [2][11]