Core Insights - The article discusses the progress of various provinces in China in leveraging data as a valuable resource to enhance economic development and public services, highlighting initiatives in Hebei, Shandong, and Chongqing [1][3][6]. Group 1: Data Utilization in Industries - Hebei is advancing the construction of a large model for the steel industry, collaborating with 21 local steel enterprises to manage 1854TB of data and develop 293 high-quality datasets for applications such as personnel safety monitoring and waste steel quality inspection [1][6]. - Shandong has gathered over 50PB of high-quality marine data, accounting for 25% of the national total, and has established a marine big data trading service platform to enhance applications in marine fisheries and disaster prevention [7][8]. - Chongqing is focusing on the automotive industry, creating a trusted data space for the sector and developing high-quality datasets to support the digital transformation of the automotive industry, with a notable statistic that one in ten new energy vehicles in China is produced in Chongqing [8]. Group 2: Public Services and Data Accessibility - The "Yukuaiban" platform in Chongqing manages over 2900 government service items, achieving an 85% rate of online service completion, significantly reducing the time and effort required for citizens to access essential services [4][6]. - Jiangsu has established a unified data trading platform that has listed 3933 data products and attracted 1864 data vendors and third-party service providers, aiming to enhance the economic and social development through data utilization [3][11]. - Guangdong's "One Network Sharing" platform has served 2342 departments and opened over 27 billion public data records, providing robust data support for efficient public service delivery [3][11]. Group 3: Policy and Financial Support - The "Data Element x" competition has attracted over 22,000 teams, with 900 projects entering the finals, serving as a connector for data supply and demand across various regions [10][11]. - Financial incentives for data initiatives are significant, with Jiangsu offering over 2.3 million yuan in total rewards for the competition, while Shandong has allocated 1.05 billion yuan for data industry funding, including 35 million yuan specifically for the "Data Element x" initiative [11][12]. - Several provinces, including Guangdong and Shandong, are accelerating the formulation of provincial data regulations to support the development of data-driven industries [11][12].

Core Insights - The report highlights the rapid development of the computing power economy in China, emphasizing its role as a new productive force in the digital age and its significance in driving the digital economy towards higher levels of growth [1] Supply and Demand Dynamics - On the demand side, technological advancements and deeper applications are driving continuous growth in computing power demand, with data production expected to reach 41.06ZB in 2024, a 25% year-on-year increase [2] - On the supply side, China's computing power supply capacity is continuously enhancing, with the number of standard racks in computing centers reaching 10.431 million by March 2025, reflecting significant progress in infrastructure [2] - The intelligent computing scale reached 748 EFlops (FP16) by March 2025, with an average growth rate of 49% over the past five years, indicating a strong push towards diversified computing supply [2] Impact on GDP - The growth of computing power has a positive effect on GDP, with a 1% increase in computing power scale corresponding to a 0.426‰ increase in GDP [3] - The impact of computing power on GDP varies by region, with lower GDP areas requiring significant investment for computing power to yield noticeable results, while higher GDP areas can achieve exponential output increases from computing investments [3] Policy Implications - Computing power policies have a long-term driving mechanism for GDP growth, with selected cities for data center clusters seeing a 1% increase in computing power scale leading to an additional 0.109‰ GDP growth [4] - The effectiveness of computing power policies is universal across different regions, influencing economic growth mechanisms regardless of geographic location [4] Need for Policy Improvement - The computing power economy in China is still in its early stages, facing challenges such as inadequate top-level design and the need for exploration of local models [5][6] - Recommendations include enhancing top-level design, optimizing the computing power policy system, and encouraging local exploration of unique computing power economic models [6] - Emphasis is placed on strengthening technological research and development to improve self-innovation capabilities and enhancing the enabling role of computing power across various industries [6]

杜坤伦 许余洁 自2024年财政部《企业数据资源相关会计处理暂行规定》正式施行以来，数据资产"入表"已从一个前沿 的理论概念，迅速转变为数字经济时代企业价值重估的现实命题。然而，广大企业在实践中普遍面 临"想入、盼入，但又怕入、难入"的窘境。数据资产的权属界定、价值计量、成本归集等一系列难题， 构成了从顶层设计到实践落地之间的"最后一公里"。在此背景下，江苏省财政厅近日印发的《企业数据 资源入表指南》（以下简称《指南》），为企业数据资源规范化入表等提供操作手册，标志着地方层面 在推动数据要素价值化进程中，迈出了从"怎么看"到"怎么办"的关键一步。 首先，当前企业数据资产入表的最大障碍之一，是会计核算与传统体系的冲突以及操作流程的缺失。企 业面对"数据"这一新型生产要素，往往不知从何入手进行成本归集与分摊。《指南》第四章系统性地构 建了数据资源成本的归集与分摊框架。它不仅厘清了采购成本、加工成本、开发成本等主要构成，更创 新性地将成本细分为可直接归集的"数据权属鉴证费""质量评估费"等，以及需要分摊的"基础设施成 本""人力资源成本"等间接费用。与此同时，《指南》为间接成本的分摊提供明确的动因指引，如基础 设施 ...

杜坤伦许余洁 自2024年财政部《企业数据资源相关会计处理暂行规定》正式施行以来，数据资产"入表"已从一个前沿 的理论概念，迅速转变为数字经济时代企业价值重估的现实命题。然而，广大企业在实践中普遍面 临"想入、盼入，但又怕入、难入"的窘境。数据资产的权属界定、价值计量、成本归集等一系列难题， 构成了从顶层设计到实践落地之间的"最后一公里"。在此背景下，江苏省财政厅近日印发的《企业数据 资源入表指南》（以下简称《指南》），为企业数据资源规范化入表等提供操作手册，标志着地方层面 在推动数据要素价值化进程中，迈出了从"怎么看"到"怎么办"的关键一步。 首先，当前企业数据资产入表的最大障碍之一，是会计核算与传统体系的冲突以及操作流程的缺失。企 业面对"数据"这一新型生产要素，往往不知从何入手进行成本归集与分摊。《指南》第四章系统性地构 建了数据资源成本的归集与分摊框架。它不仅厘清了采购成本、加工成本、开发成本等主要构成，更创 新性地将成本细分为可直接归集的"数据权属鉴证费""质量评估费"等，以及需要分摊的"基础设施成 本""人力资源成本"等间接费用。与此同时，《指南》为间接成本的分摊提供明确的动因指引，如基础 设施成 ...

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]

Core Viewpoint - The integration of digital technology into various sectors has made data a key production factor alongside labor, land, capital, and technology, emphasizing the need for effective data assetization to drive high-quality economic development [2][7]. Group 1: Data as a Production Factor - Data must undergo systematic processing, such as collection, cleaning, and labeling, to transform from raw data into valuable production factors [3]. - Despite the growth of China's digital economy, successful utilization of data resources is primarily seen in internet platform companies, with insufficient inter-organizational and market data circulation [3][4]. Group 2: Challenges in Data Value Realization - Several constraints hinder the trading and circulation of data, including unclear ownership, scene-dependent valuation, and security concerns [4]. - Companies often prefer internalizing data services rather than engaging in market transactions due to security and ownership issues [4]. Group 3: Current Practices and Innovations - Various organizations are exploring data resource integration and productization, leading to the emergence of data trading institutions and successful case studies [5][6]. - Data products are evolving into standardized datasets, analytical reports, and decision models, enhancing the measurement of data value [5][6]. Group 4: Future Directions for Data Value Realization - The realization of data value is crucial for strengthening the digital economy and promoting the synergy between industrial digitalization and digital industrialization [7]. - Emphasis should be placed on improving data collection, management, and sharing mechanisms across different sectors to fully unleash the potential of data as a production factor [7].

Core Viewpoint - Jining City is actively promoting high-quality development through digital transformation, focusing on the goals of "one trillion, fivefold increase" and implementing a comprehensive digital strategy to enhance various sectors of the economy [1] Group 1: Industry Development and Innovation - Jining is concentrating on industrial development to expand the scale of the digital economy, leveraging the provincial digital economy innovation development pilot zone to implement ten major digital industrialization projects and eight actions for industrial digital transformation [2] - The city has established a digital economy project database with 317 key projects, including significant initiatives like the Shandong Times New Energy Battery Base and the Kobot Drone Production Base, which are expected to drive digital economic growth [2] - Jining is enhancing enterprise support by organizing various industry events and establishing a list of enterprise issues to address challenges related to talent, funding, and policy, resolving 43 specific requests [2] Group 2: Data Utilization and Market Reform - The city is advancing the new generation of information technology industry, achieving a revenue growth rate of 22% from January to July, and implementing ten plans to support project landing and market entry [3] - Jining is focusing on data element value release through a pilot program for comprehensive data element market reform, successfully integrating core data types into the provincial public data resource platform and creating 130 high-quality data sets [3] - The establishment of a data service provider alliance has facilitated data asset registration and evaluation for 44 companies, with a total data transaction scale exceeding 200 million [3] Group 3: Data Application and Innovation - Jining is promoting data element integration in industrial manufacturing and logistics, successfully hosting competitions and creating 208 application cases, with 36 advancing to the provincial finals [4] - The city aims to create a national-level data industry development cluster, showcasing innovative applications of data in various sectors [4] Group 4: Digital Governance and Infrastructure - Jining is enhancing digital governance capabilities through integrated reforms in digital government, improving efficiency in public services and enterprise support, resulting in a 90% reduction in business processing steps and an 81% decrease in processing time [5][6] - The city has established 18,078 5G base stations and 21 data centers, with a total computing power of 1260P, supporting the digital infrastructure necessary for economic growth [6] - Jining is committed to deepening the integration of the real economy and digital economy, aiming to contribute significantly to the province's green and high-quality development [6]

Core Insights - The article highlights the successful registration of multiple large models in Qingdao, including the "Zhuo Shu" model developed by Inspur (Shandong) Big Data Technology Co., Ltd, which aims to activate the potential of data elements in various key sectors [1][2][3] Group 1: Company Developments - Inspur's "Zhuo Shu" model has been applied in enterprise credit, macroeconomics, and grassroots governance, showcasing its versatility across multiple scenarios [1] - The "Qi Zhi Kong Ming" model by Innovation Qizhi is tailored for the manufacturing sector, supporting various industrial applications such as text perception and data analysis [1] - The "Tian Zhi" model from Kaos focuses on industrial applications, excelling in industrial scene analysis and knowledge Q&A [2] Group 2: Industry Initiatives - Qingdao has implemented the "Moli Qingdao" three-year action plan to accelerate the development of a large model ecosystem, promoting a structured approach to model registration and evaluation [2][3] - The city aims to strengthen scenario application demonstrations and create benchmarks for vertical model empowerment to drive large-scale applications [3] - Efforts are being made to foster an open ecosystem that encourages algorithm open-sourcing, data sharing, and service openness, contributing to a vibrant open-source collaborative environment [3]

Core Viewpoint - The company has demonstrated strong business resilience despite external market pressures, with a focus on data intelligence and artificial intelligence development. Group 1: Financial Performance - In the first half of 2025, the company achieved operating revenue of 218 million yuan, with over 85% of revenue coming from data value realization-related activities [1] - The company’s main business has shown steady growth, indicating a solid foundation in the data intelligence sector [1] Group 2: Business Development - The developer services segment continues to solidify its industry-leading position, supported by a large active user base [1] - The commercial services sector is stabilizing, with positive growth potential in both enhanced services and brand services [1] - The public services division is advancing mature products while actively exploring new intelligent products, engaging in co-creation with clients [1] Group 3: Artificial Intelligence Initiatives - The company has increased its investment in artificial intelligence, establishing an AI division and appointing a Chief AI Officer, with around 50 key personnel dedicated to AI product development and technological breakthroughs [2] - The company has launched the "GAI" series of intelligent products and introduced a high-end model device for enterprise markets, forming a closed-loop system [2] - The "Data Station" strategy aims to connect various stakeholders for secure and efficient data flow, with the "Hundred Cities, Hundred Scenarios" co-creation plan already implemented in multiple cities [2] Group 4: Future Outlook - The company is committed to accelerating industry development through "data + intelligence" and plans to increase exploration in the AI field [3] - New AI-related businesses are expected to enter a promotional phase in the second half of the year, following product development and initial customer engagement [3]

Core Insights - The article emphasizes the importance of data as a key production factor, comparable to land and capital, with predictions indicating that a 10% increase in data flow can lead to a 0.2% GDP growth [1] - The construction of a data market is identified as a crucial pathway for advancing the digital economy in China, with a projected data production total of 41.06 ZB by 2024 [1] Data Market Overview - The data market consists of raw data, processed data, and standardized data service products, with diverse supply sources including businesses, government agencies, and data brokers [2] - The demand for data spans various sectors, including enterprises for marketing and risk management, and government for urban governance and policy-making [2] Differences from Traditional Markets - Data markets differ from traditional markets primarily in pricing and trading mechanisms, with various pricing models such as pay-per-use and subscription [3] - Innovative trading modes include platform trading, over-the-counter trading, and data sharing pools within data alliances [3] Regulatory Framework - Establishing a data market requires a robust regulatory framework, including standardized data classification and a unified data language to facilitate transactions [4] - The recent policy direction from the Chinese government highlights the need for clear data ownership, market transactions, and rights protection [4] Cultivating Data Operators - Data operators, or "data merchants," are essential for the development of the data market, providing services in data production, management, and trading [5] - Encouraging the opening of high-value public data and integrating data resources into asset management systems are key strategies for fostering data operators [5] Infrastructure Support - The transaction of data requires foundational infrastructure, including network, computing, and security facilities, to enable safe and efficient data flow [6] - A multi-layered data market system is proposed to facilitate data movement across regions and sectors [6] International Cooperation - Expanding into international data markets is crucial for enhancing China's digital competitiveness, necessitating the integration of cross-border data flow into economic development plans [7] - Collaboration on data protection legislation and standards is essential to balance data sovereignty with global data sharing [7]