7月16日，市委理论学习中心组开展集体学习。 7月16日，市委理论学习中心组围绕深入学习贯彻习近平总书记关于树立和践行正确政绩观、加强作风建设等 重要论述，以及习近平总书记关于统计工作的重要讲话和重要指示批示精神开展集体学习。省委常委、市委书记 吴桂英主持并讲话，强调要完整准确全面贯彻新发展理念，牢固树立和践行正确政绩观，扎实推进长沙高质量发 展。 会议指出，党的十八大以来，习近平总书记围绕树立和践行正确政绩观作出一系列重要论述，为我们干事创 业提供了思想指引和行动指南。必须深刻认识到，树立和践行正确政绩观是牢记党的宗旨、增进民生福祉的价值 追求，是贯彻新发展理念、推动高质量发展的现实需要，是检验党员干部党性修养、优良作风的重要标准，进一 步增强政治自觉、思想自觉、行动自觉，以实干实绩深刻领悟"两个确立"的决定性意义，坚决做到"两个维护"。 会议强调，要把树立和践行正确政绩观贯穿统计工作全过程各方面，持续深化"一树两严"专项治理，切实提 高统计数据质量，强化统计监督效能，创新统计服务方式方法，为推动高质量发展提供统计保障。要建章立制、 常态长效，以有效监督管住管好"关键少数"引领带动"绝大多数"，持续涵养风清 ...

Core Viewpoint - The appointment of Yan Xiandong as the head of the People's Bank of China's Survey and Statistics Department marks a significant development, with a focus on enhancing the statistical work related to the financial "Five Major Articles" to support high-quality development [1][3]. Group 1: Appointment and Background - Yan Xiandong has been appointed as the head of the Survey and Statistics Department after a vacancy of over a year, previously serving in various roles within the People's Bank system [1][3]. - His background includes leadership positions in the Ningxia and Inner Mongolia branches of the People's Bank, indicating extensive experience in financial management [3][4]. Group 2: Statistical Work Focus - The statistical work will focus on four key areas: comprehensive implementation of financial "Five Major Articles" statistics, ensuring data quality, providing guidance on statistical systems, and promoting data sharing [1][6]. - The People's Bank has established a coordination mechanism with multiple departments to implement a systematic statistical framework for the financial "Five Major Articles" [7][10]. Group 3: Statistical System and Standards - A new trial statistical system has been jointly issued by the People's Bank and other regulatory bodies, emphasizing comprehensive coverage and unified standards for statistical indicators [6][7]. - The system includes over 200 key statistical indicators covering various financial sectors, ensuring alignment with national standards and existing practices [6][7]. Group 4: Data Quality and Collaboration - Yan emphasizes that data quality is critical for financial statistics, serving as the foundation for accurate financial policy evaluation and decision-making [10]. - The collaboration between financial management departments and institutions is essential to uphold the integrity of data quality throughout the statistical process [10].