交通运输业可持续发展披露率达64%，航空机场领跑、物流待提升

Core Viewpoint - The "Sustainable Development Blue Book: Sustainable Development Report of China's Transportation Industry Enterprises (2025)" highlights the critical transition of the transportation industry in China from "factor-driven, scale expansion" to "innovation-driven, quality and efficiency-oriented" development [1] Group 1: Industry Overview - The blue book assesses the sustainable development progress, current shortcomings, and future pathways of 244 listed companies in the transportation sector, including A-shares and Hong Kong stocks, for the years 2024-2025 [1] - The green and low-carbon development of the transportation industry is not only essential for the industry itself but also a strategic priority for achieving the societal "dual carbon" goals [1] Group 2: Disclosure and Challenges - As of April 2025, 156 companies have disclosed sustainability-related reports, achieving a disclosure rate of 64%, indicating a significant increase in awareness of sustainable development information disclosure [2] - The industry exhibits a "layered" characteristic in performance across different segments, with the aviation and airport sector leading in information disclosure completeness and sustainable development [2] - The logistics and transportation sector still has considerable room for improvement in social responsibility and internal governance [2] Group 3: Structural Challenges - The overall industry faces shortcomings in the "comparability" and "verifiability" of information disclosure, with issues such as non-unified disclosure standards, ambiguous data accounting boundaries, and lack of third-party verification, leading to the risk of "greenwashing" [2] - Although over 90% of sample companies achieved a BB rating or above in sustainable development performance for 2024, there remains a gap in management capabilities, characterized by "grand visions and vague paths" [2] - Many companies have set long-term strategic goals but have not fully established a closed loop from indicator management, data governance to input-output analysis, hindering the implementation of strategies [2]