【统统告诉你】统计法治宣传：新修改统计法如何切实“落地”？

Core Viewpoint - The article emphasizes the importance of enhancing statistical work to ensure the authenticity, accuracy, completeness, and timeliness of statistical data, as well as the need to implement new regulations in the revised statistical law effectively [2][3]. Group 1: Statistical Standards - The revised statistical law mandates the strengthening of statistical scientific research and the improvement of statistical standards and indicator systems to adapt to new economic and social developments [3]. - The National Bureau of Statistics is actively updating key statistical standards, including the classification of national economic industries and the statistical classification of new industries, new business formats, and digital economy [3]. - Upcoming revisions will include the classification standards for digital economy, "three new" economies, cultural industries, and strategic emerging industries to better reflect the current state of the national economy [3]. Group 2: Statistical Indicator System - The statistical indicator system consists of macro, meso, and micro levels, with the national economic accounting indicator system being the leading component [4]. - The National Bureau of Statistics is constructing various statistical monitoring indicator systems, such as those for rural revitalization and urban high-quality development, to ensure accurate reflection of economic and social development [4][5]. - Future efforts will focus on refining indicators related to service value added and carbon emission accounting to enhance the statistical monitoring framework [4][5]. Group 3: Statistical Methods and Data Collection - The revised statistical law emphasizes the use of periodic censuses and regular sampling surveys as the foundation for collecting and organizing statistical data [7]. - The National Bureau of Statistics has successfully conducted multiple national population and economic censuses, utilizing sampling surveys and administrative records to fill data gaps [8]. - The integration of modern information technologies, such as big data and cloud computing, is seen as a significant opportunity for improving statistical methods and data collection processes [8].