实践故事 | 推动惠民惠农补贴精准发放

Core Insights - The article discusses the implementation of a big data supervision model by the Jiangyang District Commission for Discipline Inspection and Supervision in Luzhou, Sichuan Province, to identify irregularities in agricultural insurance fund distribution [1][2] - The use of big data has enabled quicker identification of issues, such as the case of a village official misappropriating agricultural insurance subsidies [1] - The initiative aims to ensure that agricultural subsidies reach the intended beneficiaries, thereby enhancing the effectiveness of policies aimed at improving people's livelihoods [1] Group 1 - The Jiangyang District's Commission has developed a big data supervision platform to analyze agricultural insurance fund distribution, leading to the identification of anomalies [1] - A specific case was highlighted where a village official was found to have misappropriated funds, resulting in disciplinary action and full recovery of the misused funds [1] - The platform employs 16 data supervision models focusing on various subsidy types, allowing for efficient detection of potential issues through data analysis and alerts [1] Group 2 - The Commission emphasizes the importance of data integration for effective supervision, following principles of integrated management and secure data sharing [2] - Custom supervision models are created based on specific needs, enabling real-time tracking and analysis of subsidy distribution, including identifying cases of fraud or unclaimed benefits [2] - The approach includes forming investigation teams to verify strong leads and systematically analyzing related information to prevent future risks in subsidy management [2]