国家统计局新闻发言人付凌晖表示，5月份，全国服务业生产指数同比增长6.2%，比上月加快0.2个百分 点。分行业看，信息传输、软件和信息技术服务业，租赁和商务服务业，批发和零售业生产指数同比分 别增长11.2%、8.9%、8.4%，分别快于服务业生产指数5.0、2.7、2.2个百分点。（央视新闻） ...

Core Viewpoint - *ST Guangdao is facing severe regulatory penalties due to significant financial fraud, which may lead to its forced delisting from the Beijing Stock Exchange due to violations of major misconduct regulations [1][8]. Financial Fraud Scale and Methods - The company engaged in systematic fraud from 2018 to mid-2024, inflating revenue by a total of 14.65 billion yuan, with inflated revenue ratios exceeding 85% across all periods [2][5]. - The inflated operating costs amounted to 7.54 billion yuan, with similar high ratios of over 83% [2][5]. - The fraud involved falsifying a complete set of documents, including purchase and sales contracts, invoices, and delivery notes [2][3]. Regulatory Penalties - The company faces a maximum fine of 10 million yuan, while the actual controller, Jin Wenming, is fined 15 million yuan and banned for life from the securities market [6][7]. - The penalties cover all levels of responsibility, from decision-makers to execution layers, emphasizing the end of the "decorative" role of independent directors [7]. Delisting Mechanism - The company is at risk of dual delisting due to financial misconduct and a significant violation of listing rules, marking it as the first major misconduct delisting case on the Beijing Stock Exchange [8][9]. Investor Protection - A compensation fund of 220 million yuan has been established to cover losses incurred by eligible investors due to false statements, reflecting a proactive approach by the underwriting institution [10]. - This mechanism aims to address the challenges of lengthy litigation and evidence collection for investors [10]. Broader Implications - The case establishes a comprehensive accountability system, integrating administrative penalties, criminal accountability, civil compensation, and forced delisting, signaling a shift towards a "zero tolerance" policy in regulatory enforcement [11]. - The case serves as a benchmark for the health of the capital market, indicating that the costs of financial fraud will outweigh the benefits, thereby promoting compliance and internal control [13][14].

2025.06. 16 二、服务业增长加快，现代服务业增势良好 5 月份，全国服务业生产指数同比增长 6.2% ，比上月加快 0.2 个百分点。分行业看，信息传输、 软件和信息技术服务业，租赁和商务服务业，批发和零售业生产指数同比分别增长 11.2% 、 8.9% 、 8.4% ，分别快于服务业生产指数 5.0 、 2.7 、 2.2 个百分点。 1-5 月份，全国服务业生产指 数同比增长 5.9% 。 1-4 月份，规模以上服务业企业营业收入同比增长 7.2% 。 5 月份，服务业 商务活动指数为 50.2% ，比上月上升 0.1 个百分点；服务业业务活动预期指数为 56.5% ，上升 0.1 个百分点。其中，铁路运输、航空运输、邮政、电信广播电视及卫星传输服务、互联网软件及信 息技术服务等行业商务活动指数位于 55.0% 以上较高景气区间。 三、市场销售明显回升，以旧换新相关商品快速增长 本文字数：2780，阅读时长大约4.5分钟 据国家统计局网站，5 月份，在以习近平同志为核心的党中央坚强领导下，各地区各部门认真贯彻落 实党中央、国务院决策部署，坚持稳中求进工作总基调，完整准确全面贯彻新发展理念，加快构 ...

本文字数：2780，阅读时长大约4.5分钟 据国家统计局网站，5 月份，在以习近平同志为核心的党中央坚强领导下，各地区各部门认真贯彻落 实党中央、国务院决策部署，坚持稳中求进工作总基调，完整准确全面贯彻新发展理念，加快构建新 发展格局，扎实推动高质量发展，加紧实施更加积极有为的宏观政策，国民经济顶住压力平稳运行， 生产需求稳定增长，就业形势总体稳定，新动能成长壮大，高质量发展向优向新。 一、工业生产平稳增长，装备制造业和高技术制造业增长较快 5 月份，全国规模以上工业增加值同比增长 5.8% ，环比增长 0.61% 。分三大门类看，采矿业增 加值同比增长 5.7% ，制造业增长 6.2% ，电力、热力、燃气及水生产和供应业增长 2.2% 。装备 制造业增加值同比增长 9.0% ，高技术制造业增加值增长 8.6% ，分别快于全部规模以上工业增加 值 3.2 和 2.8 个百分点。分经济类型看，国有控股企业增加值同比增长 3.8% ；股份制企业增长 6.3% ，外商及港澳台投资企业增长 3.9% ；私营企业增长 5.9% 。分产品看， 3D 打印设备、工 业机器人、新能源汽车产品产量同比分别增长 40.0% 、 ...

国家统计局：5月服务业增长加快 现代服务业增势良好 智通财经6月16日电，国家统计局数据显示，5月份，全国服务业生产指数同比增长6.2%，比上月加快 0.2个百分点。分行业看，信息传输、软件和信息技术服务业，租赁和商务服务业，批发和零售业生产 指数同比分别增长11.2%、8.9%、8.4%，分别快于服务业生产指数5.0、2.7、2.2个百分点。1-5月份，全 国服务业生产指数同比增长5.9%。1-4月份，规模以上服务业企业营业收入同比增长7.2%。5月份，服务 业商务活动指数为50.2%，比上月上升0.1个百分点；服务业业务活动预期指数为56.5%，上升0.1个百分 点。其中，铁路运输、航空运输、邮政、电信广播电视及卫星传输服务、互联网软件及信息技术服务等 行业商务活动指数位于55.0%以上较高景气区间。 ...

（2025年6月16日） 国家统计局 5月份，在以习近平同志为核心的党中央坚强领导下，各地区各部门认真贯彻落实党中央、国务院决策部署，坚持稳中求进工作总基调，完整准确全面贯彻 新发展理念，加快构建新发展格局，扎实推动高质量发展，加紧实施更加积极有为的宏观政策，国民经济顶住压力平稳运行，生产需求稳定增长，就业形势 总体稳定，新动能成长壮大，高质量发展向优向新。 一、工业生产平稳增长，装备制造业和高技术制造业增长较快 5月份，全国规模以上工业增加值同比增长5.8%，环比增长0.61%。分三大门类看，采矿业增加值同比增长5.7%，制造业增长6.2%，电力、热力、燃气及水 生产和供应业增长2.2%。装备制造业增加值同比增长9.0%，高技术制造业增加值增长8.6%，分别快于全部规模以上工业增加值3.2和2.8个百分点。分经济类 型看，国有控股企业增加值同比增长3.8%；股份制企业增长6.3%，外商及港澳台投资企业增长3.9%；私营企业增长5.9%。分产品看，3D打印设备、工业机 器人、新能源汽车产品产量同比分别增长40.0%、35.5%、31.7%。1-5月份，全国规模以上工业增加值同比增长6.3%。5月份，制造业采购 ...

今天分享的是：广州市科学技术局：2024广州市科技型企业惠企政策汇总 报告共计：93页 为推动科技型企业高质量发展，广州市及各区多部门协同出台系列惠企政策，从税收减免、研发支持、人才激励、产业培育等多维度为企业发展赋能。 税收优惠方面，政策覆盖多类市场主体与业务场景。高新技术企业、技术先进型服务企业减按15%税率征收企业所得税，技术转让所得、研发费用加计扣除 等也有明确减免规定，固定资产加速折旧政策适用范围扩大至全部制造业领域，南沙高新技术重点行业企业亏损结转年限延长至13年，科普事业发展相关进 口商品免征关税和增值税。 科技部门政策聚焦创新全链条。设立50亿元科创母基金，直投种子期、初创期科技企业；对高新技术企业认定、研发投入、科技成果转化等给予奖励，如首 次认定的高企奖励20万元，重新认定奖励10万元；举办创新创业大赛并给予高额落户补贴，港澳青年创新创业项目最高获50万元奖励，还支持科技资源库建 设与科技服务机构发展。 工信部门着力培育特色产业集群。"专精特新"中小企业可获最高100万元认定奖励，在融资、技改、数字化转型等方面享受补贴，软件和信息技术服务业企 业营收达标可获最高2000万元奖励，工业母机等 ...

Group 1 - The core viewpoint of the news highlights the financial performance and stock activity of Zhenhua Technology, indicating a decline in revenue and net profit for the first quarter of 2025 [1] - As of June 13, 2025, Zhenhua Technology's stock closed at 46.42 yuan, with a slight increase of 0.96% and a trading volume of 117,300 lots, amounting to 545 million yuan [1] - The company experienced a net inflow of main funds amounting to 33.54 million yuan, representing 6.16% of the total transaction amount, with significant contributions from large orders [1] Group 2 - For the first quarter of 2025, Zhenhua Technology reported total operating revenue of 908 million yuan, a year-on-year decrease of 10.45%, and a net profit attributable to shareholders of 58.51 million yuan, down 42.60% year-on-year [1] - The company's financial ratios include a current ratio of 6.630, a quick ratio of 5.507, and a debt-to-asset ratio of 18.02% [1] - Zhenhua Technology has made investments in 24 companies and participated in 28 bidding projects, holding 45 trademark registrations and 212 patents [2]

Core Viewpoint - Jiangsu Jinzhi Education Information Co., Ltd. has withdrawn its IPO application, leading to the termination of its review for listing on the Shenzhen Stock Exchange's Growth Enterprise Market [1] Company Overview - Jinzhi Education was established in January 2008 and is located in Nanjing, Jiangsu Province. The company has a registered capital of approximately 60 million yuan [3] - The main shareholders include Guo Chao, Shi Mingjie, Wang Tianshou, and Nanjing Mingde Information Technology Co., Ltd. [3] IPO Details - Jinzhi Education submitted its prospectus in June 2022, aiming to raise 577 million yuan through the IPO. The company passed the review in July 2023 but did not submit the registration, leading to a nearly two-year delay before the termination [4][5] Financial Performance - The company's revenue for 2020, 2021, and 2022 was approximately 475 million yuan, 492 million yuan, and 455 million yuan, respectively. The net profits for the same years were approximately 73.32 million yuan, 78.93 million yuan, and 77.55 million yuan [6] - The net profit after deducting non-recurring items for 2020, 2021, and 2022 was approximately 67.27 million yuan, 63.60 million yuan, and 66.38 million yuan [6] Revenue Composition - Jinzhi Education's income primarily comes from software development and SaaS services, with software development revenue for the reporting periods being approximately 400 million yuan, 404 million yuan, and 370 million yuan, accounting for 84.24%, 82.08%, and 81.33% of its main business income, respectively [7] Compliance and Operational Issues - The company faced scrutiny regarding its operational performance, core competitiveness, and compliance issues, particularly concerning the decline in direct sales revenue and the increase in accounts receivable and contract assets [5] - Jinzhi Education's R&D expenses and personnel have shown a downward trend, raising concerns about its core competitiveness [5] - The company received notifications from regulatory bodies regarding the collection and use of personal information through its "Today Campus" app, which necessitated further disclosures in its prospectus [5]

金融界2025年6月14日消息，国家知识产权局信息显示，中国电信股份有限公司、中电鸿信信息科技有 限公司申请一项名为"一种基于质量检测的资产数据分级方法"的专利，公开号CN120146646A，申请日 期为2025年01月。 专利摘要显示，本发明公开了一种基于质量检测的资产数据分级方法，包括：同步收集异构类型数据源 的资产数据；配置SQL语句和正则表达式的质量检测规则；将资产数据通过质量检测规则进行资产数据 质量检测，并汇总资产数据的质量检测结果；根据资产数据的质量检测结果计算基于完整性评分、准确 性评分、一致性评分、有效性评分、唯一性评分的综合评分；按照综合评分进行资产数据进行分级管 理，将最低级的资产数据进行质量上报。 中电鸿信信息科技有限公司，成立于2007年，位于南京市，是一家以从事软件和信息技术服务业为主的 企业。企业注册资本11000万人民币。通过天眼查大数据分析，中电鸿信信息科技有限公司共对外投资 了1家企业，参与招投标项目5000次，财产线索方面有商标信息9条，专利信息253条，此外企业还拥有 行政许可16个。 天眼查资料显示，中国电信股份有限公司，成立于2002年，位于北京市，是一家以从事电 ...