部门间经营主体失信信息结构各异、信用监管标准规范不全、网络失信行为发现取证复杂、信用风险智 能评价手段匮乏是我国市场信用监管面临的主要业务痛点和技术难点。针对这些痛点，市场监管部门通 过研发失信信息智能融合、网络失信取证固证、风险动态评价预警等关键技术并开展集成应用，研制信 用监管关键技术标准，构建了覆盖经营主体全生命周期的信用监管标准体系，实现了跨部门失信信息高 效整合与风险精准预判，为提升市场治理效能提供了重要的技术支撑。 研究成果在江苏、湖南、湖北等省份开展试点应用，重点在日常监管、"双随机、一公开"检查、专项检 查、重点领域监管等多个场景中进行了应用。江苏省试点支撑了26个部门的日常监管、双随机、专项检 查，其中，江苏省市场监管局网监处通过关联比对各类主体投诉举报、信用风险等级等数据1.6万条， 确定1386个食品销售主体、2278个工业产品销售主体作为相关领域抽检及监测重点，实现从盲目抽查到 精准靶向监管的转变。湖南省试点支撑了17个部门的双随机、专项检查、重点领域监管，其中长沙市市 场监管局成功预警了28万家存在失信记录的经营主体，利用系统的风险预警功能，提前对10.2万家高风 险企业进行了监管干 ...

Group 1 - The core viewpoint is that Hainan is accelerating the establishment of a new regulatory mechanism based on "double random, one public" regulation, which aims to balance fairness and efficiency in enterprise inspections while minimizing disruptions to normal business operations [2] - The "double random, one public" regulation involves randomly selecting administrative inspection targets and randomly assigning enforcement personnel, with timely public disclosure of inspection matters, plans, and results [2][3] - Data from the Hainan Provincial Market Supervision Administration shows a decreasing trend in the proportion of enterprises subjected to repeated inspections under the "double random" system from 2.25% in 2021 to 0.88% in 2024, indicating improved collaborative regulatory efficiency [2] Group 2 - Hainan is utilizing enterprise credit risk classification results in the "double random, one public" regulation to scientifically determine and dynamically adjust inspection ratios and frequencies, implementing differentiated regulation [3] - In 2024, 85% of the inspection ratios and frequencies were determined based on enterprise credit risk classification results, with 91.92% of the enterprises subjected to "double random" inspections falling under this classification, enhancing the precision and targeting of random inspections [3]