【观察与思考】 作者：岳利萍、杨欣怡（分别系西北大学中国西部经济发展研究院研究员、副研究员） 数智技术打破了资源配置的时空约束。合理的区域分工和合作是提升区域生产力的关键，但地理阻隔或 制度壁垒的制约，会导致区域间要素流动不畅，区域分工潜能难以充分释放。从国内看，东中西梯度差 异与城乡二元结构制约了全国统一大市场的形成；从国际看，规则差异与标准的不衔接在一定程度上阻 碍了国际竞争优势的发挥。数智时代的到来提供了破局契机，数智技术通过重构时空关联、打破要素流 动的刚性约束，使生产力布局不再囿于地理区位与资源禀赋的限制。与此同时，数智技术也重塑了"距 离"与"集聚"的内涵。要素远程协同和虚拟集聚，使网络连接强度、数据流通效率等新型变量正在成为 影响区域竞争力的关键因素，推动各地区依托数智技术重构比较优势，实现资源与产能的跨域优化配置 和高效协同。 数智化协同成为区域协调发展的重要内容。一方面，高水平区域联动是发展模式从非均衡向协调整合的 系统性跃升。改革开放初期，东部沿海优先发展的非均衡发展战略迅速激活了东部沿海地区发展动能， 但"两头在外"的加工贸易模式也导致区域发展不均衡与价值链攀升受阻。20世纪90年代中后 ...

Core Insights - Data is recognized as a new type of production factor and a strategic resource essential for economic growth and national competitiveness in the digital economy era [1][2] Group 1: Data as a Driver of Innovation - Data resources are crucial for driving technological innovation and seizing development opportunities, particularly in AI and quantum technology [2] - High-quality data sets are accelerating advancements in AI and large model technologies, facilitating the implementation of smart cities and autonomous driving [2] - Data resources enable cross-domain technology integration, enhancing efficiency in fields like pharmaceutical research through data sharing [2] Group 2: Optimization of Production Factors - Data resources enhance the configuration of traditional production factors, leading to improved efficiency and productivity [3] - The integration of data with labor, capital, and technology transforms traditional work models into more interactive and efficient systems [3] - Data facilitates targeted aggregation and optimization of traditional factors, allowing for better resource utilization in a complex market environment [3] Group 3: Accelerating Industrial Transformation - Data resources are driving changes in industrial organization, promoting digital upgrades across supply chains [4] - The application of data is helping industries extend into higher value chains, creating new business models and market opportunities [4] - The collaborative effects of data are fostering the emergence of high-value new business formats and driving industries towards knowledge and technology-intensive upgrades [4] Group 4: Data Resource Scale and Growth - In 2024, national data production reached 41.06 ZB, a 25% increase year-on-year, with smart devices contributing significantly to this growth [5] - Strategic emerging industries are becoming key engines for data growth, with sectors like low-altitude economy and robotics seeing over 30% year-on-year data production increases [6] - The optimization of data storage structures is being driven by the explosive growth of data and diverse new business needs, with structured data storage increasing by 36% [7] Group 5: Intelligent Computing Power - Intelligent computing power now accounts for 32% of total computing resources, indicating a shift from general to specialized computing capabilities [8] - The rapid development of intelligent computing is providing a foundational support for digital transformation across various industries [8] Group 6: Policy Recommendations - There is a need to optimize top-level design and establish a legal framework for data resource development to ensure healthy market growth [9] - Promoting standardization and forming a comprehensive data governance framework is essential for efficient data circulation and utilization [9] - Strengthening data security measures and creating a trustworthy data ecosystem is critical for fostering a secure data environment [9]

Core Viewpoint - Baidu has filed a lawsuit against Xiaomi and Shanghai Yiyi for unfair competition, with the court hearing scheduled for June 13 in Shanghai [1][4]. Company Overview - Baidu is a leading search engine company in China, known for its services in search, maps, and artificial intelligence [3]. - Xiaomi initially gained market share through high-cost performance smartphones and has since expanded into smart home and automotive sectors, becoming a top player in the tech industry [3]. Legal Dispute Details - The specific details of the lawsuit have not been disclosed, but speculation suggests it may involve issues in the application distribution sector, where Xiaomi's app store has restricted installations of certain third-party applications, including those from Baidu [3]. - There are also suggestions that the conflict may arise from competition in artificial intelligence and data resources, which are critical competitive advantages in the digital age [3]. Industry Implications - The lawsuit highlights the intense competition within the tech industry, where companies often face friction and disputes while vying for market share and profits [4]. - The expectation is that the outcome of this legal battle could influence the internet user experience and the overall dynamics of the tech industry [4].

Core Insights - The report indicates that the data production volume in China reached 41.06 ZB in 2024, marking a 25% year-on-year increase, with expectations to exceed 50 ZB by 2025 [2][8] - The development of artificial intelligence (AI) is significantly driving the demand for data resources, with data used for AI development, training, and inference increasing by 40.95% [3][4] - The eastern region of China is leading in data resource development, with six provinces accounting for nearly 60% of the national data production [8][9] Data Production and Growth - In 2024, the total computing power in China reached 280 EFLOPS, with intelligent computing power accounting for 90 EFLOPS, representing 32% of the total [3][6] - The growth in data production is primarily driven by smart applications, particularly in smart homes and connected vehicles, which saw data growth rates of 51.43% and 29.28%, respectively [3][4] - The number of enterprises utilizing large models increased by over 37%, with the proportion rising to approximately 10% [3] Industry Trends - The manufacturing, finance, and transportation logistics sectors are the top three in terms of data production volume, with finance, mining, and transportation logistics leading in average data production per enterprise [9] - The report highlights that data resource development is concentrated in eastern provinces, with Jiangsu and Guangdong's digital investment being 1.71 times the national average [9] - The demand for high-quality data sets is surging, with the number of high-quality data sets increasing by 27.4% [4][6] Future Outlook - The report anticipates continued growth in data production, with data resource circulation entering an accelerated phase [9] - The integration of AI computing and the rapid enhancement of AI server performance are expected to optimize the structure of data resources [9] - Emerging industries such as autonomous driving and low-altitude economy are projected to maintain high growth rates in data resource scale [9]

Core Insights - The core viewpoint of the article highlights the significant growth in data resources reported by Meinian Health in its 2024 annual report, with a notable increase of 71.3% compared to the first quarter's disclosure [1] Group 1: Data Resources - Meinian Health disclosed data resources amounting to 9.352 million yuan in 2024, up from 5.46 million yuan in the first quarter [1] - The company has accumulated over 100 million imaging data points and more than 200 million structured health data points, establishing the largest personal health examination data center in China [1] - The accounting treatment of data resources in 2024 shows a transitional characteristic, with 882,000 yuan transferred to "intangible assets" and 53,000 yuan remaining in "development expenses" [1] Group 2: Research and Development - Key R&D projects include the Bianque SAAS health examination management platform and the Xingyu business development platform, with the latter expected to provide data value for insurance product development [1] - The company has seen a structural adjustment in R&D investment and personnel, with R&D expenditures decreasing from 1.38 million yuan in 2021 to 980,000 yuan in 2023, before rising to 1.1 million yuan in 2024, a 12.2% increase year-on-year [9] - Despite the increase in R&D investment in 2024, the number of R&D personnel decreased from 375 in 2023 to 270 in 2024, indicating a potential shift in strategy [9]