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北京国际法商融合示范区建设加速,朝阳区出台工作方案
Xin Jing Bao· 2025-10-28 12:38
Core Viewpoint - The Chaoyang District has introduced a work plan to promote the construction of the Beijing International Law and Business Integration Demonstration Zone, aiming to develop the CBD into a pioneering area for innovative development and a model for business environment reform by 2027 [1] Group 1: Development Goals - The Beijing CBD, covering an area of 7.04 square kilometers, will be established as a key node for the "Belt and Road" initiative [1] - By 2027, the CBD aims to become a demonstration zone for enterprises going global, integrating law and business [1] Group 2: Focus Areas for Development - The plan emphasizes four main areas: gathering high-quality legal resources, enhancing comprehensive service efficiency, facilitating the flow of key elements, and building a law-business integration brand [1] - In terms of gathering legal resources, the focus will be on attracting high-end legal services such as arbitration, mediation, and notarization [1] - The establishment of a comprehensive service center in the CBD will provide one-stop services for businesses, including government affairs, legal services, and guidance for international expansion [1] Group 3: Financial and Data Integration - The plan encourages banks within the demonstration zone to set up intellectual property financial service points [1] - It also aims to promote the establishment of a law-business data circulation platform by the Beijing International Big Data Exchange [1] Group 4: International Collaboration - The initiative seeks to attract globally influential international organizations, such as the "Belt and Road" legal service alliance, to establish a presence in the area [1]
寻路互认互通 数据需求“一地提出,全国响应”还有多远?
Core Viewpoint - The article discusses the structural imbalance in the domestic data market and the initiatives being taken to address it, including the release of a national data product service demand directory to enhance supply-demand matching and improve market efficiency [1][2]. Group 1: Supply and Demand Imbalance - The data market currently faces a structural imbalance where supply exceeds demand, leading to low matching efficiency despite a high number of data products and demands [2][3]. - The national data product service demand directory is introduced as a quasi-public product to facilitate better matching between supply and demand in the data market [2][3]. Group 2: Data Trading Institutions - The "mutual recognition and communication among data trading institutions" is a key component of building a unified national data market, as outlined in the 2024 reform directives [2]. - In 2024, the Guizhou Data Exchange (贵数所) plans to collaborate with seven data trading institutions to release 196 mutually recognized data products, aiming to reduce data circulation costs [3]. Group 3: Infrastructure and Standards - Establishing a unified and interconnected circulation infrastructure and standardizing trading rules and data standards are essential for efficient data flow [3][4]. - The development of data trading institutions has seen cycles of growth and decline, with the current phase focusing on finding sustainable business models [4][5]. Group 4: Commercialization and Value Creation - Many domestic data trading institutions have yet to achieve profitability, with successful commercialization strategies focusing on systematic services around data marketization and value creation [4][5]. - Data trading institutions are expected to contribute to national strategies while balancing commercial and social value creation [5].
江苏让数据变成“活起来”的资产
Xin Hua Ri Bao· 2025-10-09 21:27
Core Insights - Jiangsu Province has launched a unified data trading platform, which has listed 3,933 data products and attracted 1,864 data vendors and third-party service providers within five months of operation [1][2] Group 1: Data Management and Regulation - Jiangsu has restructured its data management system at provincial, municipal, and county levels following the national "Data Twenty Articles" policy, implementing the "Jiangsu Data Regulations" to clarify operational and regulatory responsibilities [1] - The establishment of a provincial-level data standardization committee aims to promote standardization and eliminate barriers to data circulation [1] Group 2: Data Resource Integration - The province is developing an integrated data resource system marked by a unified public data account, ensuring that high-value data is accessible and usable [1] - A total of 676 high-value data items have been identified and registered on a data resource platform, providing quality raw materials for data applications [1] Group 3: Data Trading and Utilization - A unified data trading platform has been established to streamline data transactions across the province, creating a standardized trading framework [2] - The launch of an integrated public data authorization platform has resulted in the development of 86 public data products, enhancing the usability of data [2] - Seven projects have been selected as national pilots for building trusted data spaces, facilitating secure cross-domain data flow [2]
企业用电数据也是信用资产
Jing Ji Ri Bao· 2025-10-04 22:04
Core Insights - The article highlights the innovative use of electricity consumption data to facilitate financing for small and medium-sized enterprises (SMEs) in Guizhou, specifically for Guizhou Pinpin Fresh Biotechnology Co., Ltd, which has successfully secured a loan of 10 million yuan based on its electricity usage data [1][2]. Group 1: Company Operations - Guizhou Pinpin Fresh Biotechnology Co., Ltd has increased its production capacity to 120,000 bottles per day after securing a loan, with plans to expand to 150,000 bottles per day within the year [1]. - The company faced challenges in obtaining traditional financing due to its short establishment time and lack of fixed assets for collateral [1]. Group 2: Financial Innovation - The collaboration between Guizhou Electric Power Company and Guizhou Rural Commercial Bank led to the establishment of an innovative project group that uses electricity data as the primary basis for credit assessment, significantly reducing loan approval time to 22 working days [1]. - The initiative represents a breakthrough in bridging the gap between SMEs and financial institutions, allowing for more effective support for quality SMEs [2]. Group 3: Data Utilization - Guizhou Electric Power Company has developed over 100 data products and signed more than 50 data cooperation agreements with government agencies, enhancing the value of electricity data for policy-making and enterprise development [2]. - The company aims to further explore the application value of electricity data across various scenarios and contribute to the establishment of a national data element comprehensive pilot zone in Guizhou [2].
北京国际大数据交易所调研组到泰安高新区调研
Qi Lu Wan Bao Wang· 2025-09-29 03:17
Group 1 - The Beijing International Big Data Exchange is the first domestic data exchange based on a new trading model, aiming to create a new data trading model and establish a comprehensive data circulation mechanism that includes registration, evaluation, sharing, trading, application, and services [2] - The research team visited several companies, including Youloka Mining Technology Co., Ltd. and Taiying Technology Group Co., Ltd., to understand their development history, business scope, market position, and future plans [1] - A cooperation intention was reached regarding data element sharing, with both parties recognizing the broad cooperation space in the field of data element circulation [1] Group 2 - Mushroom Car Union, founded in November 2017, is a leading provider of full-stack technology and operational services for autonomous driving [2] - Beijing Younuo Technology focuses on full data elements and true intelligent twin technology services [2] - The meeting discussed various topics, including the establishment procedures for data trading institutions, development positioning, standard specifications, operational models, product applications, and computing power scheduling [1]
泰安高新区:区委领导带队到北京国际大数据交易所开展招商考察工作
Qi Lu Wan Bao Wang· 2025-09-26 15:17
Core Insights - The Taian High-tech Zone is actively engaging in investment attraction by exploring partnerships with key companies in the data and technology sectors [1] - The meeting highlighted the potential for collaboration in the data element circulation field, aiming to establish a data service center in the high-tech zone [1] Group 1: Investment and Collaboration - Zhao Huawai, a member of the Taian High-tech Zone Party Committee, led a delegation to the Beijing International Big Data Exchange to promote investment [1] - The meeting included discussions with three companies: Beijing International Big Data Exchange, Mushroom Car Union, and Beijing Younuo Technology, focusing on deepening cooperation and driving industrial development [1] Group 2: Company Highlights - The Beijing International Big Data Exchange is the first domestic data exchange based on a new trading model, focusing on data registration, evaluation, and trading [1] - Mushroom Car Union, established in November 2017, shared its achievements in L4 level autonomous driving technology and AI network construction for real-time interaction with the physical world [1] - Beijing Younuo Technology engaged in discussions regarding multi-party cooperation directions, expected goals, implementation methods, and future plans [1] Group 3: Future Plans and Goals - The chairman of the Beijing International Big Data Exchange, Li Zhenjun, emphasized the broad cooperation space with the high-tech zone in the data element circulation sector [1] - The collaboration aims to leverage the industrial advantages of the high-tech zone to accelerate the creation of new productive forces and achieve high-quality development for enterprises [1]
昆数所发布三大成果 人工智能产业联盟同步成立
Zhong Guo Xin Wen Wang· 2025-09-24 07:01
Core Insights - The establishment of the Kunming International Data Exchange and the launch of the Kunming Artificial Intelligence Industry Alliance mark significant advancements in the market-oriented allocation of data elements and the development of the AI industry in Yunnan [1][3]. Group 1: Data Exchange and Innovations - The Kunming International Data Exchange released the "Data Product Development Practice White Paper," which outlines a comprehensive standard framework for data product development based on Yunnan's resource endowments and industrial characteristics [3]. - The "Caiyun Data Creation - High-Quality Data Product Empowerment Zone" provides end-to-end support for data service providers, facilitating the transformation of raw data into tradable assets and aligning with customer needs [3]. - The "Trusted Data Space," leveraging China Mobile's core technology, integrates advanced technologies such as privacy computing and blockchain, ensuring data usability while maintaining privacy [3]. Group 2: Market Impact and Achievements - Since its launch in March 2025, the Kunming International Data Exchange has focused on Yunnan's unique data resources, registering 284 products and facilitating transactions worth 5.9 million yuan, establishing a data circulation service system centered around Kunming [4]. - The newly formed Kunming Artificial Intelligence Industry Alliance aims to consolidate resources across the industry chain, promoting the widespread application and innovative development of AI technology in Kunming and Yunnan [3][6].
持续完善数据要素价值化路径
Jing Ji Ri Bao· 2025-09-16 00:04
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].
趋势研判!2025年中国数据交易市场(数据交易所)‌行业政策、交易规模、区域格局及未来趋势分析:数据要素市场化进程加速,万亿级生态化未来可期[图]
Chan Ye Xin Xi Wang· 2025-09-14 01:16
Core Insights - The data trading market is a complex system focused on the circulation of data products and services, aiming to solve the challenges of data flow and unlock data value [1][5] - China's data trading market has rapidly evolved since its inception in 2015, with a projected market size of 2,115.4 billion yuan by 2024 and expected to exceed 7,159 billion yuan by 2030 [1][7] - The global data trading market reached approximately $126.1 billion in 2023, with Asia-Pacific being the fastest-growing region [7] Industry Overview - The data trading market consists of data providers, data consumers, trading venues, technical support, third-party service providers, and regulatory bodies, forming a complete ecosystem [2] - Data trading can be categorized by trading venues (on-exchange and off-exchange) and product types (data sets, data services, data applications, and off-exchange services) [3] Policy Framework - The Chinese government has implemented a series of policies, including the "Data Twenty Articles," to support the development of the data trading market, focusing on data ownership, circulation, revenue distribution, and security governance [6] - The policies aim to create a standardized, compliant, and scalable market structure, enhancing the overall ecosystem [6] Global Market Trends - The global data trading market is expected to grow to $177.9 billion by 2025 and surpass $370.8 billion by 2030, with North America, Europe, and Asia-Pacific as the three core markets [7] - Key industries driving data trading include finance, healthcare, retail, and manufacturing [7] China's Market Development - By 2025, China's data trading market is expected to reach 2,840.9 billion yuan, with a compound annual growth rate of 20.3% from 2025 to 2030 [7][8] - The market has developed a multi-layered structure with one national-level exchange and over 50 regional institutions [7] Regional Market Dynamics - The data trading market in China exhibits a "gradient differentiation and collaborative development" pattern, with leading regions including Guangdong, Zhejiang, Jiangsu, Shanghai, Beijing, and Guizhou [15] - The Yangtze River Delta and Guangdong-Hong Kong-Macau Greater Bay Area are identified as the primary trading regions [15] Future Trends - The data trading market is transitioning towards "fine value mining" driven by technologies such as privacy computing and AI, with significant growth expected in vertical industries like manufacturing and healthcare [16] - The integration of data trading with logistics and finance is anticipated to create new growth opportunities, particularly in cross-border data flow [17] - A nationwide integrated market is forming, with key nodes like Beijing, Shanghai, and Guizhou collaborating to enhance resource allocation and break down data silos [18]
八月数据交易市场“短期热度”降温,数据产品查询量回落
Core Insights - The data trading market in China is experiencing a significant increase in the number of data products launched, with a total of 477 products introduced in August, up by 162 from July [2] - Despite the increase in product offerings, key performance indicators have shown a decline, indicating structural issues within the market [2][5] - The "application potential" score has dropped sharply by 25.25% from July, reaching its lowest point in six months, highlighting a decrease in market interest and engagement [2][5] Market Performance - In August, the four core indicators of the data trading market saw varying degrees of decline, with "application potential" experiencing the most significant drop [2] - The "element density" score decreased from 4.25 to 4.04, while the "stability coefficient" slightly fell to 2.08 [2] - "Transparency" remains the weakest area, scoring only 1.50, which has been a long-term constraint on market development [2][4] Product Insights - The majority of high-scoring data products are concentrated in data sets and data interfaces, with 328 products in these categories, accounting for over 60% of the total [3] - "Data participation" scores remain high across institutions, while "data integration" scores have shown fluctuations, particularly declining in several exchanges [3] Governance and Compliance - The "stability coefficient" scores vary significantly among institutions, with Beijing and Shanghai leading in compliance [4] - The Zhengzhou Data Trading Center has the highest score in "data grading" but shows weaknesses in "data sources" and "usage constraints," indicating potential governance issues [4] - Overall, the market lacks effective regulations on key aspects such as data product limitations and cross-border circulation, necessitating a comprehensive data supervision framework [4] Application Potential - The decline in the "application potential" score is primarily driven by a significant drop in the "attention" metric, with several institutions reporting a halving of their scores [5] - The overall "reusability" scores have also decreased, reflecting insufficient motivation for optimizing data products [5] - The "update frequency" scores have remained stagnant for most institutions, indicating a lack of innovation and responsiveness in the data trading market [5]