从参与主体来看，国有企业凭借数据资源禀赋与合规运营优势，成为数据资产ABS市场的核心发起力 量。上述7单已落地项目中，国有企业作为原始权益人的占比达71.4%（5单），剩余2单分别由民营企 业（1单）与公共企业（1单）主导发行，呈现出"国企主导、多元主体协同"的参与格局。 这一多元参与态势的背后，凸显了数据资产ABS在破解企业融资难题中的积极价值。从发行成本来看， 数据显示，上述7单项目的平均票面利率为2.04%，显著低于同期中小企业传统贷款平均利率。 作为数字经济时代的核心生产要素，数据从资源化、资产化到资本化的价值进阶始终是行业关注的核心 议题。今年以来，这一价值转化链条迎来关键突破——数据资产ABS（资产支持证券）从首发"破冰"到 接连落地，不仅让数据要素的金融化变现路径更加清晰，更打通了数据价值向资本市场传导的标准化通 道。 自全国首单数据资产ABS产品——"平安-如皋第1期资产支持专项计划（数据资产）"成功发行以来，市 场对数据资本化的探索持续深化。 据Wind资讯数据统计，截至目前，年内已有7单数据资产（含赋能型）ABS产品成功发行，发行规模合 计达24.90亿元。从目前已落地的产品实践来看，主要 ...

基于上述宏观判断，刘煜辉给出了对A股的乐观预期。他预计，中国或用三年时间把"战略优势"转化 为"战略胜势"，而市场的超额收益将集中在与战略优势绑定的赛道，如循环经济、AI算力自主、关键材料 掌控等。 除产业层面，刘煜辉还聚焦货币金融与要素改革，建议以中国庞大的贸易规模与供应链优势为基础，在香 港市场推动核心资产"代币化"，为持有人民币的全球主体提供"资产沉淀市场"。他预判，未来5年人民币 有望抢占全球金融交易20%的份额，这将重塑全球货币格局，也为A股带来增量资金。 新华财经上海10月13日电（记者郭慕清）汇正财经日前在沪举办以"观潮谋新策，蓄势迎长虹"为主题的 2025年第四季度策略会。会上，上海首席经济学家金融发展中心副主任、中国首席经济学家论坛理事刘煜 辉就国内经济复苏逻辑、A股市场趋势及十五五规划方向等维度，为投资者解析了当前市场的核心矛盾与 长期机遇。 对于国内经济，刘煜辉聚焦两个关键指标PPI和M2-M1。PPI本质是"中国核心经济资产的盈利映射"，其转 正意味着成分股的收入与利润将显著改善，仅这一因素就足以支撑指数在未来的上涨可能。 数据显示，过去一年M2与M1的差距持续收窄，这一指标直接反映市 ...

Core Insights - The first Qinghai Data Element Ecological Conference will be held on September 21, focusing on the construction of a data element ecosystem in Qinghai, which is a significant step in implementing the national "data element ×" three-year action plan and participating in the Belt and Road Initiative [1][2] - Qinghai aims to integrate its unique resource endowments and strategic positioning to promote the deep integration of the real economy and the digital economy, supporting the new era of western development strategy [1] - The conference will serve as a platform for policy interpretation and development trend analysis, featuring key experts discussing the role of data elements in driving industrial upgrades and economic transformation in Qinghai [2] Group 1 - The conference is co-hosted by multiple government departments and aims to build a cross-regional collaboration platform to unleash data value for high-quality development in Qinghai and the western region [2] - Qinghai is leveraging its clean energy advantages, such as solar and wind power, to establish a comprehensive computing power supply system, enhancing its competitive edge in the national data element layout [1][2] - The event will include a special seminar on "Data Empowering Industrial Development," focusing on the transformation of data from resources to assets and capital, with discussions on compliance and data asset integration [3] Group 2 - The conference will showcase various initiatives, including the unveiling of the Qinghai Data Element Circulation Service Innovation Center and the launch of a talent cultivation plan for data elements in Xining [3] - Experts from renowned data groups and technology companies will share advanced experiences and case studies to promote the deep integration of Qinghai's advantageous industries with data elements [3] - The discussions will also address the intelligent transformation of traditional industries and innovations in artificial intelligence applications, aligning with Qinghai's unique characteristics [3]

Group 1 - The core theme of the recent Global Digital Economy Conference is "Building Digital Friendly Cities," emphasizing the importance of global digital economic cooperation and the challenges faced by major cities in China, such as Beijing, Shanghai, and Shenzhen, in becoming global benchmarks for digital economy [1] - The transformation of digital cities is now a strategic mission aimed at enhancing national competitiveness and modernizing governance, moving beyond mere technological applications to a focus on public value [1][2] - The relationship between value and technology is crucial, where technology should serve as a means to solve urban issues and enhance citizen welfare rather than being an end in itself [2] Group 2 - The development of digital cities must address the new contradictions and core relationships, particularly focusing on data value attribution, distribution, and realization [3] - The process of data value realization involves three stages: data resourceization, data assetization, and data capitalization, each addressing different aspects of data management and economic value creation [3][4] - Cities should adopt data value management as a top-level strategy, establishing clear data ownership and efficient circulation systems, exploring equitable data revenue distribution models, and creating mechanisms for data value release driven by real-world applications [4]

Core Insights - The book "Data Capital" proposes a new framework for a fair data economy, exploring the capitalization of data across various sectors such as healthcare and finance, and aims to create a "smart economy" through trusted technology and artificial intelligence [1][4] Group 1: Data Cooperatives - The concept of a "data cooperative" is introduced to facilitate data sharing among citizens and enhance data innovation capabilities [4] - Establishing data property rights and sharing mechanisms can lead to the tokenization of data and its infrastructure, reshaping traditional banking and financial systems [4] Group 2: Economic Implications - The development of data algorithms and AI is expected to create new forms of economic participation, necessitating a more resilient social system [4] - The book emphasizes the risks and uncertainties in the new economic ecosystem, which directly challenges existing financial systems [4] Group 3: Digital Currency and Tokenization - The latter part of the book focuses on digital currency systems, tokenized financial ecosystems, stablecoins, and virtual asset trading networks, which are closely related to digital currencies [4] - The authors provide insights into the fundamental principles, roles, and future expectations of these digital currency-related topics, marking them as the most essential parts of the book [4]

Group 1 - The trend of data asset value realization is becoming more prominent, with more data being transformed into high-value assets, supported by financial market innovations that open diverse financing channels for related companies [1] - Experts predict that the market-oriented allocation mechanism for data factors will continue to improve, accelerating the process of data value release, which is expected to become a core engine driving high-quality development of the digital economy [1] Group 2 - Aopu Mai Biotechnology Co., Ltd. announced plans to acquire 100% of Pengli Biopharmaceutical Technology (Shanghai) Co., Ltd. through a combination of share issuance and cash payment, highlighting the importance of data as a valuable resource for companies [2] - Companies are increasingly focusing on building comprehensive data management systems to enhance data quality and extract data value, with many establishing specialized data management teams [2][3] Group 3 - A growing number of listed companies have appointed Chief Data Officers to strengthen data strategy and promote deep integration of data resources with business operations [3] - Companies are leveraging professional systems to achieve intelligent and refined data asset management, utilizing data asset management platforms and AI technologies to maximize data value [3] Group 4 - The process of data asset capitalization is crucial, with the inclusion of data assets in financial statements providing solid support for the confirmation, measurement, and disclosure of data value [4] - In the first quarter of 2025, 91 A-share listed companies included data assets in their financial reports, with a total scale of 4.402 billion, marking a significant increase in both the number of participating companies and the scale of inclusion compared to the previous year [4] Group 5 - Data asset inclusion in financial statements enhances resource allocation efficiency and facilitates precise capital market resource allocation, allowing for better monetization of data assets [5] - The successful listing of data assets, such as the smart parking data asset from Zhenjiang Transportation Industry Group, demonstrates the potential for data assets to be valued and traded in the market [5] Group 6 - The process of data capitalization has accelerated significantly under the drive of financial innovation, with examples such as the issuance of asset-backed securities based on operational and public service data [6] - The approval of the first data center REITs in the country further enriches the practice paths for data capitalization, injecting new momentum into industry development [6] Group 7 - The Chairman of the China Securities Regulatory Commission indicated ongoing support for technology companies to utilize intellectual property and data assets for asset securitization and REITs, signaling future policy support and financial innovation to promote the development of the data factor market [7] - Standardization of entity economic data is essential for transforming it into data required by capital markets, which is a primary task of financial technology [7]

Group 1 - Data is regarded as the "new oil" and "new currency," becoming a fundamental engine for the deepening development of the digital economy [1] - China is enhancing its focus on data as a key factor for gaining competitive advantages in the next round of industrial competition [1][2] - The establishment of a comprehensive system for the value realization of data elements is a long-term and complex project requiring both institutional innovation and practical exploration [1][2] Group 2 - China's path to data value realization will balance safety and development, addressing the relationships between data development and regulation, security and application, as well as domestic and international considerations [2] - The inclusion of data as a production factor in the Fourth Plenary Session of the 19th CPC Central Committee has solidified its status and value enhancement [3] - Recent policies, including the Ministry of Finance's guidelines on data asset management, indicate that data assets are now recognized as important strategic resources for digital economic development [3] Group 3 - Data assetization is a key goal for maximizing the value of data resources, transforming them into a new source of economic growth [4] - The number of data trading institutions and related enterprises is increasing, with approximately 17,600 data trading companies in operation by the end of 2024, 25% of which were established within the last year [4] Group 4 - The process of data value release involves three stages: resourceization, assetization, and ultimately capitalization [5] - Data resourceization is the starting point for value release, focusing on converting raw information into manageable and reusable data assets [5] Group 5 - A successful data monetization strategy requires a closed-loop solution that aligns with national policy, industry development, low-cost investment, sustainable value growth, and high economic efficiency [6] - An example of a successful data service project involved a city investment company that invested over 3 million yuan, resulting in a data asset valuation exceeding 5 million yuan and a market value of over 30 million yuan [6][7] Group 6 - The "value cube" of data is achieved through addressing three key issues: rights confirmation, circulation, and financing [8][10][12] - The establishment of a data rights confirmation system aims to clarify ownership issues, with innovative products like the "three certificates" service for data rights [8] - A dual-driven model of government guidance and market dynamics is being developed to create an efficient and trustworthy data market ecosystem [10] Group 7 - Data asset pledge financing is a common practice that offers low-cost, efficient, and flexible solutions for financing challenges faced by small and medium-sized enterprises [12] - The construction of a data financing platform facilitates the management of data assets, ensuring compliance, quality, and value assessment [12] Group 8 - The essence of the "value cube" lies in the innovation of models, technological empowerment, and ecological collaboration, which together facilitate the realization of data value [14]