Group 1: Light Industry Growth Plan - The Ministry of Industry and Information Technology, along with other departments, has issued a "Light Industry Growth Work Plan (2025-2026)" to enhance the role of light industry in stabilizing economic growth [2][3] - The plan aims for stable growth in key industries, stable business performance, and rapid development of new growth points, with a focus on enhancing consumer capacity [2] - Five key tasks are outlined: optimizing supply, expanding consumption, maintaining international competitiveness, optimizing the industrial ecosystem, and enhancing high-quality development momentum [2][3] Group 2: Intellectual Property Asset Evaluation - The Ministry of Finance and other departments have released a notification to further standardize intellectual property asset evaluation, enhancing the management and protection of intellectual property [4][5] - The notification emphasizes the importance of accurately determining the value of intellectual property as a crucial step in its operation and transformation [4] - Asset evaluation institutions must possess professional competence and adhere to legal regulations, ensuring independent and objective evaluations [4][5][6] Group 3: Business Registration Regulation - The State Administration for Market Regulation has implemented a new management method for business registration applications and agency behaviors to prevent false registrations and improve registration quality [7][8] - The method establishes a new information management system for registration agents, enhancing the authenticity of registration applications [7][8] - It also strengthens the supervision of illegal registration behaviors and increases penalties for false registration [8] Group 4: Skills Training Initiatives in Shandong - Shandong Province has launched a "Vocational Skills Improvement Training Action Plan" to provide skills training for over 1.5 million people from 2025 to 2027 [10][11] - The plan includes ten training actions focusing on new productivity skills, rural revitalization, modern service industry skills, and youth skills enhancement [10][11] - It aims to support industries by cultivating a skilled workforce and enhancing training resources and employment linkages [11][12] Group 5: AI and Manufacturing Policies in Guangxi - Guangxi has introduced policies to support the integration of artificial intelligence and manufacturing, offering financial subsidies for qualifying projects [13][14] - The policies include funding for smart products and core components, as well as support for AI software development in industrial applications [13][14] - The initiative aims to promote high-end, intelligent, and green development in the manufacturing sector [13][14] Group 6: Statistical Reform in Jiaxing - Jiaxing City has implemented a "One-Click Reporting" reform to streamline statistical reporting for businesses, significantly reducing reporting time and improving data accuracy [16][17] - The reform utilizes digital technology to automate data collection and reporting processes, enhancing efficiency and reducing human error [16][17] - It establishes a comprehensive data management system to support accurate and timely statistical reporting [19][20]

McEntarfer对未来表示担忧，特别是在统计系统现代化方面。美国劳工统计局仍通过电话询问就业状况 并派遣工作人员手动检查商店货架价格。她表示，作为在人口普查局拥有25年统计质量改进经验的专 家，她原本准备帮助劳工统计局实现数据收集现代化。 Erika McEntarfer于8月1日被免去美国劳工统计局局长职务，特朗普指控她操纵数据以损害其政治形 象。两党的前劳工统计局官员均驳斥了这一指控，称其不可能。 被特朗普解职的美国劳工统计局前局长Erika McEntarfer首次公开发声，称她的解雇对经济来说是"危险 的一步"，并透露她在任期间大量时间被迫用于应对马斯克政府效率部门(DOGE)的干预，而非推进统计 系统现代化改革。 当地时间周二，McEntarfer在母校巴德学院对学生发表演讲时表示，她原本希望推进就业和通胀统计的 改进工作，最终却在2025年的大部分时间里，将工作重心放在防范埃隆·马斯克的政府效率部 （DOGE）团队的干扰。她说： 我们一周内应对的危机比正常情况下一年的还要多。 目前，劳工统计局由代理局长William Wiatrowski领导，特朗普已提名传统基金会的经济学家E.J. Anto ...

创新统计"一键报表"改革 浙江嘉兴落实国家"推进智慧统计建设，完善统计网络和数据安全保障体系"统计现代化改革部署要求，聚焦因报表多、指标繁造成的企业编报负担重，因 数据易被干扰、人为差错易发造成的监管难度大，因数据时效性差、应用价值低造成的辅助决策薄弱等问题，通过数字赋能、流程重塑，创新企业统 计"一键报表"模式，实现数据生产数字化、智能化、标准化。"一键报表"改革由嘉兴桐乡市首创，已在浙江迭代运用超3年，11个地市90个区县实现全覆 盖，企业报表用时压缩90%以上，准确率有效提升。 一、流程再造，构建业务和数据双链协同 聚焦减负提质增效 二、体系重构，提升监管和保障双重质效 （一）创新两项技术，实现智能高效。创新"多源异构数据智能映射技术"，有效兼容适配各类数源系统。创新"指标血缘溯源技术"，有效追踪记录数据指 标从生成到使用的整个生命周期。形成"企业'一键'报表数字化台账系统"软件著作权，并取得"一种基于大数据生成报表的数据映射方法及系统"、"一种报 表数据采集方法及系统"等4件发明专利。 （二）制定三大标准，确保系统规范。建立数据、指标、接口三项标准体系，明确原始数据定义和管理规则，统一基础指标和过程指 ...

智通财经APP获悉，英国皇家经济学会(RES)警告称，随着该国官方统计指标的危机不断加深，对于英 国政策制定而言至关重要的学术研究正受到破坏并且对于公众而言的公信力逐渐减弱，并呼吁采取"紧 急补救行动"来解决这一重大问题。 "劳动力市场数据的缺口正在阻止经济学家正确分析英国薪资、就业、不平等以及政府政策的影响，"英 国皇家经济学会主席Imran Rasul周二在一份声明中表示。"在英国面临深刻经济挑战之际，这既破坏了 专业的经济学研究领域，也破坏了政策制定。" RES的评论可谓为那些针对英国国家统计局(Office for National Statistics)的批评再添一笔，此前的问题 已影响到大批英国官方经济指标。就在一周前，该统计机构将7月英国零售销售数据的发布推迟了足足 两周，理由是需要"进一步的数据质量保证"。 这加剧了人们对于英国国家统计局劳动力市场、价格以及国内生产总值数据准确性的担忧。这场统计数 据危机最终导致对该机构的调查以及国家统计局局长Ian Diamond于5月因健康原因突然离任。 英国政府各核心部长以及一些英国央行官员此前抱怨称，追踪经济(尤其是劳动力市场)数据的相关问 题，使得制 ...

Core Viewpoint - The significant downward revision of 260,000 jobs in the U.S. non-farm payroll report raises serious questions about the credibility of this key economic indicator, primarily due to data adjustments and structural issues such as low survey response rates and potential impacts from the Trump administration [3][4][7]. Group 1: Employment Data Adjustments - The U.S. Bureau of Labor Statistics (BLS) revised the non-farm payroll data for the previous two months downwards by 258,000, marking the largest downward adjustment since the COVID-19 pandemic [4]. - Specifically, the May data was revised down by 125,000 from +144,000 to +19,000, and June data was adjusted down by 133,000 from +147,000 to +14,000 [5][4]. - Approximately 40% of the downward revision in the 260,000 jobs is attributed to adjustments from state and local education departments, which were incorporated after the initial release [9]. Group 2: Discrepancy Between Job Openings and Employment Numbers - There is a notable divergence between the number of job openings and the actual number of employed individuals, with job openings increasing since 2022 while the number of employed people has remained relatively stagnant [10][11]. Group 3: Survey Response Rate Concerns - The accuracy of employment reports is being challenged by a fundamental issue: a declining willingness among businesses and households to participate in government surveys [12]. - The initial survey response rate has fallen below 60% in recent months, significantly lower than the pre-pandemic norm of over 70% [14]. - The lack of data collection leads to larger potential revisions, as highlighted by the president of a consulting firm who noted that a 50% response rate is insufficient [14]. Group 4: Underlying Causes of Response Rate Decline - The decline in survey response rates is attributed to long-standing social and institutional factors, including public fatigue with surveys and eroding trust in government institutions [15][16]. - Budget constraints and staffing limitations faced by statistical agencies have exacerbated the issue, particularly during the Trump administration, affecting their ability to collect and analyze economic data [17][18]. Group 5: Potential Impact of Policy Changes - Some economists suggest that rapid policy changes during the Trump administration in areas such as trade and immigration may have further deteriorated data quality, as businesses struggle to adapt [19]. - The BLS conducts annual benchmark revisions to calibrate data, but the preliminary estimates from last year showed the largest decline since 2009, reinforcing concerns about the reliability of initial economic data releases [19][20].

Core Insights - The U.S. Bureau of Labor Statistics has significantly revised down the non-farm payroll reports for the past two months, raising serious doubts about the credibility of this key economic indicator [1][3] - In July, the U.S. added only 73,000 jobs, far below expectations, with a downward revision of 258,000 jobs for the previous two months, marking the largest downward adjustment since the COVID-19 pandemic [1][3] Employment Data Discrepancies - The non-farm payroll report consists of two independent surveys: the establishment survey for job counts and the household survey for unemployment rates [5] - The recent downward revision of 260,000 jobs primarily stems from adjustments in the establishment survey, with about 40% of the revisions coming from state and local government education sectors [1][3] Statistical Challenges - The significant statistical adjustments exceed normal seasonal adjustments, driven by declining response rates, resource constraints faced by statistical agencies, and potential policy changes [3][7] - The response rate for initial surveys has dropped below 60%, compared to over 70% pre-pandemic, leading to greater potential for larger revisions [8][11] Trust and Resource Issues - The decline in survey response rates is attributed to long-standing social and institutional factors, including public fatigue with surveys and eroding trust in government institutions [9][10] - Budget cuts and staffing limitations within statistical agencies have exacerbated the situation, impacting their ability to collect and analyze economic data [11][12] Potential Influences on Data Quality - Rapid policy changes during the Trump administration may have further deteriorated data quality, as businesses struggle to adapt to shifting regulations [13] - The Bureau of Labor Statistics conducts annual benchmark revisions, which have shown significant downward adjustments, indicating that initial economic data may increasingly resemble a draft requiring multiple revisions [13]