九部门：积极发展首发经济 培育一批新型消费龙头企业

Core Viewpoint - The Ministry of Commerce and nine other departments have issued a notice on expanding service consumption, emphasizing the importance of service consumption in improving people's livelihoods and driving economic high-quality development [1] Group 1: Cultivating Service Consumption Promotion Platforms - Implementation of the Service Consumption Quality Improvement and Benefit Action, focusing on policy support, platform establishment, and optimizing the consumption environment [2] - Development of pilot cities for new consumption formats, supporting cross-industry collaborations to create new consumption scenarios [2] Group 2: Enriching High-Quality Service Supply - Expansion of high-level opening up in the service industry, particularly in internet, culture, telecommunications, and healthcare sectors [2] - Support for cultural and artistic sectors to create high-quality products and optimize cultural service supply [2] - Encouragement of introducing foreign sports events and supporting local mass sports events to enhance brand recognition [2] Group 3: Stimulating New Service Consumption Growth - Attraction of more foreign visitors through optimized visa policies and promotion of China's cultural resources [3] - Expansion of digital service consumption, encouraging e-commerce platforms to innovate in online and offline integration [3] - Adjustment of student holiday arrangements to increase service consumption opportunities [3] Group 4: Strengthening Financial Support - Utilization of various funding channels to support the construction of service facilities in culture, tourism, and sports [4] - Support for service trade innovation development funds to guide social capital investment in service consumption [4] - Enhancement of consumer credit support to stimulate service consumption market vitality [4] Group 5: Improving Statistical Monitoring Systems - Optimization of service consumption statistical methods to reflect regional development accurately [5][6] - Encouragement of the use of big data for monitoring and analyzing service consumption [6]