走路骑车都能“赚钱” 北京碳普惠新政激励市民减排

Core Viewpoint - The implementation of the "Beijing Carbon Inclusive Management Measures (Trial)" aims to promote the carbon inclusive mechanism from pilot exploration to standardized and in-depth development, enabling citizens to earn tangible benefits from adopting green lifestyles [1][2]. Group 1: Carbon Inclusive Mechanism - The carbon inclusive mechanism quantifies voluntary carbon reduction behaviors of individuals, families, communities, and small enterprises, assigning them specific value [2]. - The "Low Carbon Travel" project has attracted over 5.7 million participants, resulting in a cumulative carbon reduction of over 460,000 tons, establishing a collaborative framework involving government guidance, market operation, and public participation [2][4]. - The management measures clarify requirements and standards for the construction, operation, and management of the carbon inclusive system, enhancing the incentive mechanism and strengthening supervision [2][5]. Group 2: Participation and Incentives - Companies like Gaode Software, Baidu, and Juhang Technology are involved in the "Low Carbon Travel" project, providing material incentives such as coupons and donations to participants based on verified carbon reduction [3][4]. - A survey indicates that 80% of users were encouraged to switch to green low-carbon travel due to carbon inclusive activities [4]. Group 3: Management and Regulation - The management measures establish a "graded and classified" management system, categorizing carbon inclusive projects into Class One and Class Two, with stricter controls for Class One projects [5][6]. - The measures create an incentive and constraint system to encourage voluntary participation in carbon reduction activities, ensuring that the value of reduction behaviors benefits the public [6][7]. - A rigid funding allocation mechanism is established, requiring project developers to submit implementation plans and ensuring that proceeds from carbon reduction sales are used to benefit participants [6][7].