银行ESG信披：爬坡上行 痛点犹存

Core Viewpoint - The article highlights the challenges and inconsistencies in ESG (Environmental, Social, and Governance) information disclosure among banks, emphasizing the need for improved data quality, standardization, and a shift from formal reporting to substantive management practices [1][2][9]. Group 1: ESG Disclosure Challenges - Different ESG disclosure frameworks lead to fragmented and less comparable information among banks, with data quality issues, particularly in carbon emissions, relying heavily on self-reported data from corporate clients [1][2]. - The lack of unified standards and comparability in disclosure metrics remains a significant issue, with many banks showing improvement in their 2024 ESG reports but still needing enhancements [3][4]. - The absence of consistent reporting on Scope 3 emissions, which includes indirect emissions from the value chain, is prevalent, with several banks not disclosing this data at all [4][5]. Group 2: Data Collection and Management Issues - The collection of ESG data is complicated by the involvement of multiple business systems, and smaller banks face challenges due to insufficient technology investments [2][7]. - There is a high cost of cross-departmental coordination for ESG management, and the traditional risk management systems of banks do not effectively integrate with ESG practices [2][8]. - The scarcity of professional talent with expertise in both finance and ESG is a barrier to effective data collection and analysis, as understanding ESG requires knowledge across various disciplines [8][10]. Group 3: Recommendations for Improvement - Banks are encouraged to enhance their ESG information disclosure by establishing standardized data collection and processing systems, aligning with both international and domestic ESG standards [10][11]. - It is essential for banks to integrate ESG goals into their business strategies and performance evaluation systems, fostering a culture of participation and collaboration across all levels [10][11]. - Utilizing advanced technologies such as big data and AI can improve the collection, monitoring, and risk assessment of ESG information, while also focusing on building a skilled workforce in this area [11].