Core Viewpoint - The People's Bank of China, along with several regulatory bodies, has issued guidelines to establish a regular financial support mechanism aimed at preventing poverty and promoting rural revitalization, emphasizing the importance of digital transformation in financial services [1][2]. Group 1: Digital Transformation in Financial Services - The guidelines propose the implementation of financial technology to empower rural revitalization demonstration projects [1][2]. - There is encouragement for credit institutions to participate in the operation of agricultural credit information service platforms, focusing on the secure and efficient collection and sharing of agricultural entity information across various departments [1][2]. - The use of credit market service platforms and other financial information sharing platforms is highlighted to accelerate the digital transformation of agricultural financial products, service channels, and business processes, thereby enhancing rural digital inclusive finance [1][2]. Group 2: Technological Integration - Financial institutions are encouraged to utilize technologies such as big data, artificial intelligence, blockchain, satellite remote sensing, and the Internet of Things to achieve real-time data monitoring, online loan approvals, and intelligent risk control [1][2]. - The aim is to improve financing efficiency through these technological advancements [1][2].

（文/陈济深 编辑/张广凯） 2026年初，社交平台上出现了一批特殊的"晒单"：有人贴出自己的征信报告截图，逾期账户数从2变成 了0。 这源于央行在2025年底推出的一次性信用修复政策——2020年至2025年期间产生的、单笔不超过1万元 的个人逾期信息，只要在2026年3月31日前还清，征信系统将自动不予展示。免申即享，不收费用，不 需要第三方代理。 这不是一次简单的技术调整。它背后是一个正在发生转向的行业命题：征信到底是用来惩罚人的，还是 可以用来帮助人的？ 过去几十年，无论中美，征信体系的主要功能都是"标记失信者"——记录谁违约了、谁没还钱，然后让 他们在贷款、租房、求职中承受代价。 区别在于，美国围绕这条"斩杀线"建起了一整套合法的商业生态，把失信者的每一寸剩余价值都榨干； 中国的央行征信系统则更偏行政管理，民间市场几乎空白，使得行业内充斥着黑灰产暴利收割。 央行这次破例出手，其实释放了一个清晰的信号：不希望征信成为普通人的"斩杀线"。 而更值得关注的是，在这项应急政策之外，行业层面也开始出现一种新的思考——征信服务能不能 从"惩罚失信"转向"帮助重建"，从卖分数转向帮人连接工作、住房和信贷机会？ 这 ...

Core Viewpoint - The year 2026 is identified as the "Year of Data Element Value Release," marking a new phase in personal credit development in China, transitioning from traditional credit records to personal credit as a tangible asset that can save time and money [1][4]. Group 1: Personal Credit Economy Development - The report indicates a structural transformation in the personal credit service market, with the integration of public data and authorized operations expected to enhance the breadth and depth of credit services [4]. - The personal credit management services are anticipated to evolve from a punitive approach to a more comprehensive model that includes protection, repair, incentives, education, and constraints across various life scenarios such as employment, housing, and healthcare [2][5]. - The market for personal credit services in China is projected to generate annual revenues between 80 billion to 100 billion yuan during the 14th Five-Year Plan period, indicating significant growth potential [7]. Group 2: Solutions and Innovations - The report proposes a "Career Credit Report" solution that integrates job seekers' skills, qualifications, and historical performance records into credit assets, facilitating quicker background checks for employers [5]. - A dual-loop approach to personal credit management is suggested, encompassing a "product loop" that covers the entire credit service cycle and a "service loop" that spans an individual's life, starting from the age of 18 [6][7]. - The company plans to develop a product system that allows individuals to manage their credit actively and create detailed credit profiles tailored to various scenarios such as loans and employment [8]. Group 3: Market Comparison and Future Directions - The personal credit service industry in China is still in its early stages compared to the U.S. market, which has developed a diversified service model over 160 years, generating a mature market worth $20 billion [7]. - Future development in the personal credit service sector is expected to focus on creating user-friendly credit management products and detailed credit profiling that aligns with various financial and employment scenarios [9][10]. - The industry consensus emphasizes the need for a collaborative approach among government, platforms, credit companies, and operators to build a comprehensive and compliant personal credit economy [9].

2026.01. 29 本文字数：2282，阅读时长大约4分钟 作者 | 第一财经 杜川 从18岁后生成第一份信用报告，持续覆盖求职、租房、信贷、购车、购房保险等关键节点，信用服 务嵌入个人发展轨迹，陪伴个人成长，并演进为人生有价值的信用资产。 1月29日，浙江省信用中心、浙江大学经济学院、钱塘征信有限公司联合发布《个人信用经济发展报 告》（下称《报告》）。《报告》对个人信用经济的界定首次破题：个人信用经济是一种"以个人信 用数据为核心生产要素，以个人为权益主体，依托全周期信用服务产品与运营两个体系，通过合规数 据流通及多元场景落地，主要为个人、金融机构及经营主体这三类主体提供信用服务"的新兴经济形 态。在这个过程中，通过个人信用数据资产化构建"信用即资产"的价值体系。 从最初的信用记录建立，到当前的数据价值释放，我国个人信用发展的每一阶段跨越都伴随着服务主 体与市场生态的拓展。 我国个人信用行业从个人征信业起步，以信贷征信为起点。1999年，中国人民银行在上海启动个人 征信试点，标志着我国个人征信进入系统化探索阶段。经过近30年的发展，大量按时还款、履约守 信的个人和企业基于良好的信用记录获得了更加优惠、便 ...

中新网杭州1月29日电(钱晨菲)29日，浙江省信用中心、浙江大学经济学院、钱塘征信有限公司联合发 布《个人信用经济发展报告》(下称《报告》)。近年来，中国持续推进社会信用体系建设，征信业"政 府+市场"双轮驱动格局已形成，2026年被定义为"数据要素价值释放年"，以个人信用为基础的新经济形 态开始显现。 作为聚焦"个人信用经济"的首份行业专项报告，其描绘了个人信用经济这一新兴经济形态，指出在数据 要素价值加速释放的背景下，中国个人信用行业正迎来历史性发展机遇。 报告撰写组成员、浙江大学教授汪炜表示，当前个人信用的发展呈现三大趋势：一是个人信用从被动记 录走向主动管理；二是长周期的信用管理与时点性的信用消费结合；三是从惩戒为主，迈向提升激励、 教育约束和守护修复的正向循环。因此，满足百姓需求，实现个人信用在践行普惠金融、提升理性消 费、促进就业等重大民生课题的应用，是个人信用经济的核心价值所在。 浙江大学 教授汪炜解读《个人信用经济发展报告》。主办方 供图 《个人信 用经济发展报告》提出个人信用经济的理论体系。主办方 供图 数据显示，中国网约车司机、外卖配送员、家政服务人员等灵活就业群体规模已突破2亿人，这类群 ...

近年来，我国持续推进社会信用体系建设，征信业"政府+市场"双轮驱动格局业已形成，2026年被定义为"数据要素价值释放年"，以个人信用为基础的 新经济形态开始显现。 1月29日，浙江省信用中心、浙江大学经济学院、钱塘征信有限公司联合发布《个人信用经济发展报告》（下称《报告》）。作为聚焦"个人信用经 济"的首份行业专项报告，描绘了个人信用经济这一新兴经济形态，指出在数据要素价值加速释放的背景下，我国个人信用行业正迎来历史性发展机遇。 个人信用进入"自主管理"新时代 构建全周期个人信用管理服务 "今年央行实施一次性个人信用修复政策，支持个人高效便捷重塑信用，公众愈发关注自身的个人信用维护。我们也希望能为用户提供更为丰富的全周 期的信用服务。"报告撰写组成员钱塘征信董事长陈隆表示。 对此，《报告》提出构建全周期个人信用管理服务"双闭环"的新思路：一是"产品闭环"，覆盖构建信用服务全周期，包含信用守护、修复、激励、教育 与约束等多方面，避免了单一集中在事后的惩戒，实现覆盖个人信用全周期的动态管理，构建个人信用的良性循环。 二是"服务闭环"，信用服务将贯穿人生全周期，从18岁后生成首份信用报告，持续覆盖求职、租房、购车购 ...

1月29日金融一线消息，国内首份聚焦"个人信用经济"的行业专项报告《个人信用经济发展报告》出 炉，由浙江省信用中心、浙江大学经济学院、钱塘征信有限公司联合发布。 近年来，我国持续推进社会信用体系建设，征信业"政府+市场"双轮驱动格局业已形成，2026年被定义 为"数据要素价值释放年"，以个人信用为基础的新经济形态开始显现。当前，国内个人信用服务产业年 营收已超100亿元，参考美国个人信用服务市场及韩国Mydata服务模式等国际实践，《报告》预测在"十 五五"期间，我国个人信用服务市场或可直接产生的年营收达800-1000亿元。 "今年央行实施一次性个人信用修复政策，支持个人高效便捷重塑信用，公众愈发关注自身的个人信用 维护。我们也希望能为用户提供更为丰富的全周期的信用服务"，钱塘征信董事长陈隆表示。 浙江大学教授汪炜在解读报告时表示，当前个人信用的发展呈现三大趋势：一是个人信用从被动记录走 向主动管理，二是长周期的信用管理与时点性的信用消费结合，三是从惩戒为主，迈向提升激励、教育 约束和守护修复的正向循环。因此，满足百姓需求，实现个人信用在践行普惠金融、提升理性消费、促 进就业等重大民生课题的应用，是个人信用 ...

1月23日金融一线消息，中国人民银行江苏省分行行政处罚决定信息公示表（苏银罚决字〔2026〕6—7 号）显示，江苏秋毫企业征信服务有限公司因违反征信机构管理规定，被处以罚款2万元。 同时，王某双（江苏秋毫企业征信服务有限公司）因对上述违法违规行为负有责任，被处以罚款600 元。 | 부터 | 当 人名称 | 行改姓可 | 违法行为类型 | 行政处罚内容 | 作出行动处罚 | 作出行政处罚 | 行期限(自 备注 | | --- | --- | --- | --- | --- | --- | --- | --- | | | (姓名、肥务) | 大同 节文号 | | | 决定机关名称 | 決定日期 | 公示起计算 | | | 江苏科霍企业征 信息务有限公司 | 苏福利来字 (2026) 6 = | 连反征信机构管理规定。 | 罚款2万元。 | 中国人民银行 江苏省分行 | 2026年1月13日 | 一井 | | | 王某双《江苏秋 壹合中证信服务 有限公司) | 苏银河决字 (2026) 7 号 | 对江苏林壹企业征值服务有限 公司以下连法行为负育责任: 进反征信机构管理规定。 | 罚款 600元。 | 中国人民银 ...

主动研判信用主体评定工作。中国人民银行临汾市分行在辖区内大力开展"三信"评定工作，按季召开发 改、农业农村等部门及涉农金融机构参与的"三信"评定会，推动金融机构应评尽评。通过"三信"评定工 作，向农村地区传递了"信用资源就是信贷资产"的理念，引导涉农金融机构根据"三信"评定结果开展整 村授信，在农户普遍缺少抵押品的情况下，形成"信用助信贷"的工作格局，为辖区内乡村振兴战略的实 施提供源源不断的"金"动力。截至2025年11月末，临汾辖内共评定信用乡（镇）251个、信用村2303 个、信用户63.23万户，为13.73万户农户发放贷款267.74亿元。 引入市场化征信机构助力乡村振兴。该行多次组织地方法人银行与百行征信、朴道征信等市场化征信机 构对接，推动辖内16家农商银行与征信机构达成合作协议。协调征信机构为农商银行量身打造涵盖身份 识别、欺诈识别、信用评估、市场营销、资产评估的产品体系，实现精准筛选客户、匹配额度、控制风 险。帮助金融机构提高风控预警能力和业务决策能力，优化服务效能，更加精准地对农户画像，为"白 户"首贷提供便捷支撑。截至2025年11月末，16家农商银行利用征信机构产品累计为14.47万户 ...

Core Insights - The personal credit market in China is experiencing significant changes with the strategic investment of China Mobile's investment arm in Puda Credit [1] - The competition in the personal credit industry is shifting from merely obtaining licenses to a comprehensive competition based on data resource organization, technological capabilities, and real business application [1] Group 1: Industry Dynamics - Puda Credit currently serves over 1,000 financial clients, positioning itself as a leader in the industry [2] - The integration of telecom data with traditional credit systems is expected to address three critical blind spots in personal credit assessments, enhancing the overall credit evaluation process [2][3] - The first blind spot involves the assessability of credit for young individuals and gig workers, where telecom data can provide high-frequency signals reflecting individual stability and activity [2] Group 2: Risk Identification and Fraud Prevention - The second blind spot pertains to the real-time identification of risks and fraudulent activities, where telecom data can significantly improve pre-loan fraud detection and risk warning capabilities [3] - The third blind spot relates to the identification of multi-platform borrowing and illicit activities, where telecom data can enhance the efficiency of recognizing such behaviors [3] Group 3: Future Development and Technological Integration - Puda Credit aims to deepen its "credit + technology" capabilities by increasing R&D investments and exploring advanced technologies like large models in the credit field [4] - The application of large models in credit assessment is expected to start in non-core decision-making areas, gradually integrating into core risk control processes [4] Group 4: Market Outlook and Competitive Landscape - The necessity of personal credit licenses as an entry barrier remains, but possessing a license does not guarantee success in the industry [5] - The future of the personal credit industry will emphasize the ability to provide valuable credit services consistently and compliantly, moving from a focus on qualifications to capabilities [5] - The strategic investment by China Mobile is expected to enhance foundational capabilities in the credit system, promoting market vitality and shifting the competitive landscape [5]