产品碳足迹因子数据库建设
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媒体纵览 | 2027年中国初步构建产品碳足迹因子数据库(中新社)
Xin Lang Cai Jing· 2025-12-23 00:32
Core Viewpoint - The Ministry of Ecology and Environment, in collaboration with the National Development and Reform Commission and other relevant departments, has issued the "Guidelines for the Construction of Product Carbon Footprint Factor Database" aiming to establish a product carbon footprint factor database by early 2027, which is crucial for measuring the green and low-carbon levels of production enterprises and products [1][2]. Group 1 - The product carbon footprint encompasses the total carbon emissions generated throughout the entire lifecycle of a product, from raw material acquisition to production, distribution, consumption, and final disposal [1]. - The guidelines emphasize the need to accelerate the construction of the product carbon footprint factor database to lay a solid foundation for establishing a product carbon footprint management system [1]. - The goal is to have a broadly covered, high-quality, and internationally influential product carbon footprint factor database by 2030 [1]. Group 2 - The construction of the product carbon footprint factor database is described as a systematic and long-term endeavor that requires active participation from all parties to form a collaborative effort [2]. - The guidelines call for the refinement of construction standards for the product carbon footprint factor database and the exploration of a regular evaluation mechanism for factor data [2]. - Future efforts will focus on integrating quality data into green finance and green procurement applications, as well as improving data rights protection systems [2].
工信部等7部门:鼓励使用人工智能等技术提升产品碳足迹因子数据库建设效率和质量
Ge Long Hui· 2025-12-15 02:03
Core Viewpoint - The Ministry of Industry and Information Technology, along with six other departments, has issued guidelines for the construction of a product carbon footprint factor database, emphasizing the application of innovative technologies to enhance efficiency and quality in data collection [1] Group 1: Technological Innovation - The guidelines encourage the use of artificial intelligence and other advanced technologies to improve the efficiency and quality of the product carbon footprint factor database [1] - There is a focus on enhancing the representativeness and reliability of carbon footprint factor data through innovative technological applications [1] Group 2: Data Solutions - The exploration of trustworthy data spaces and other solutions is encouraged for application scenarios in the construction of the product carbon footprint factor database [1] - The guidelines promote pilot projects to test and implement these innovative data solutions [1]