Core Viewpoint - Data is recognized as a new key production factor, with its value lying in flow and usage rather than mere storage. Guizhou, as the first national big data comprehensive pilot zone, is leading in the market-oriented reform of data factors [1]. Group 1: Data Market Challenges and Solutions - The data trading market faces long-standing challenges such as difficulties in rights confirmation, pricing, mutual trust, market entry, and regulation [1]. - To address rights confirmation issues, the industry is actively exploring the establishment of data factor industry nodes [1]. - A data product trading price calculator has been developed to tackle pricing difficulties [1]. - The construction of data zones across multiple fields aims to resolve supply challenges [1]. - A data trading rules system is being built to enhance mutual trust [1]. - The establishment of a provincial public resources (data factor) trading center is intended to facilitate market entry [1]. Group 2: Future of Data Trading Market - As data application scenarios become increasingly diverse, the data trading market is expected to become more active [1]. - The artificial intelligence industry, focusing on industry large models, is poised for new development opportunities [1]. - There is a push to better empower various industries and serve households through data factors [1].

Core Insights - The year 2026 is identified as the "Year of Data Factor Value Release," marking a critical phase in the market-oriented reform of data factors [1] - Various data exchanges are expanding their services and data supply, focusing on compliance and efficiency in data transactions [2][3] Group 1: Market Development - Data exchanges are actively expanding their data supply sources beyond traditional entities like government and state-owned enterprises, encouraging participation from internet platforms, research institutions, and SMEs [2] - The focus is on optimizing data supply structures around key industries such as digital economy, advanced manufacturing, and modern services [2] - The establishment of specialized zones, such as the Jiangsu Provincial Data Exchange's pharmaceutical service sector, demonstrates the targeted approach to data services [3] Group 2: Service Transformation - Data exchanges are evolving from merely facilitating transactions to providing comprehensive, integrated data services, enhancing their service capabilities [3] - Initiatives like the collaboration between Beijing International Big Data Exchange and local entities aim to offer a full range of services, including compliance consulting and product design [3] - The shift towards a more practical approach in data market construction reflects a growing market demand for diverse data applications [3] Group 3: Challenges and Solutions - Despite advancements, challenges remain in the data factor market, including issues of supply, flow, and utilization of data [4] - Legal, technical, and industrial shortcomings hinder the effective circulation and monetization of data [5] - Recommendations include accelerating the establishment of data circulation laws, enhancing data infrastructure, and fostering a robust data industry ecosystem [6][7]

Core Viewpoint - The introduction of the "Data Intellectual Property Assessment Guidelines" into the local standard revision plan in Guizhou Province aims to address challenges in pricing and trading data assets, providing a scientific basis for reasonable pricing and compliant transactions, which is significant for optimizing data resource allocation and enhancing circulation efficiency [1] Group 1 - The provincial intellectual property bureau has included "Research on the Construction and Practice of Enterprise Data Intellectual Property Value Assessment Standards" as a strategic research project to tackle assessment bottlenecks [1] - The Guizhou Intellectual Property Research Association has conducted extensive research and solicited opinions from various stakeholders, leading to the release of the "Enterprise Data Intellectual Property Value Assessment Norms" group standard, which clarifies the assessment's objects, content, processes, and methods [1] - The local standard for the "Data Intellectual Property Assessment Guidelines" represents an upgrade based on the group standard practice, aiming to establish a more comprehensive and authoritative provincial standard system for assessments [1] Group 2 - The provincial intellectual property bureau emphasizes that this initiative is foundational for ensuring compliant data transactions, stimulating data element vitality, and promoting the transformation of data resources, ultimately supporting high-quality development of the digital economy in the province [1] - Future efforts will focus on accelerating the drafting process of the guidelines to ensure the timely release and implementation of the "Data Intellectual Property Assessment Guidelines" local standard [1]

Group 1: Economic Development and Business Environment - Jiangsu Province has strengthened its domestic circulation development foundation during the "14th Five-Year Plan" period, enhancing economic growth support significantly [2] - The province has been recognized as having the best business environment for five consecutive years, with over 14.6 million business entities, including more than 10 million registered individual businesses [2] - The total assets of provincial state-owned enterprises have increased by nearly 600 billion yuan compared to the end of the "13th Five-Year Plan" [2] Group 2: Foreign Investment and Trade - Jiangsu Province has utilized over 119 billion USD in foreign investment over the past five years, maintaining the top position in the country [3] - The province's total import and export volume reached 26.9 trillion yuan, accounting for more than 1/8 of the national total, with electric passenger vehicles, lithium batteries, and solar cells leading in exports [3] - The province has seen a 10% annual growth in imports and exports with countries involved in the Belt and Road Initiative, increasing their share from 42.9% in 2023 to 50% [3] Group 3: Data and Capital Market Development - Jiangsu Province has established a unified data trading system, with 1,977 data merchants and service institutions and a cumulative trading volume of 213 million yuan [4] - The province has actively participated in multi-level capital market reforms, with over 450 companies in the listing reserve database and 26 new domestic listed companies this year, ranking first in the country [4] - The total number of domestic listed companies in Jiangsu has reached 720, with the highest number of companies listed on the Sci-Tech Innovation Board and the Beijing Stock Exchange [4]

Core Points - The State Council approved a pilot program for market-oriented allocation of factors in Zhengzhou and nine other regions, aiming for high-quality and high-standard reforms [1] - The Henan provincial government released a comprehensive work plan with 70 specific measures to eliminate barriers to the free flow and efficient allocation of factors [1] Group 1: Technological Innovation - The plan emphasizes the importance of technological factors in driving innovation and proposes reforms for the management of scientific achievements in universities and research institutions [2] - It aims to establish a resource pool for scientific achievements and promote the transformation of these achievements to benefit small and medium-sized enterprises [2][3] - The plan includes the construction of over 30 concept verification centers and pilot bases in key sectors such as high-end equipment and biomedicine [2] Group 2: Land Resource Allocation - The plan seeks to improve the efficiency of land use for industrial development by implementing standardized land transfer and ensuring immediate project initiation upon land acquisition [4] - It proposes measures to revitalize existing land resources and establish a unified market for construction land, allowing rural collective land to enter the market [4] Group 3: Talent Attraction and Management - The plan aims to relax household registration conditions to facilitate the settlement of agricultural migrants and other residents in Zhengzhou [5] - It includes initiatives to enhance the mobility of labor and talent, improve evaluation systems for technical skills, and establish a digital platform for skill talent [5][6] Group 4: Data and Computing Infrastructure - The plan outlines the establishment of a comprehensive data registration and trading system, promoting the use of artificial intelligence and other new technologies [7] - It aims to build advanced computing infrastructure, including a national supercomputing center in Zhengzhou, to support various sectors [7] Group 5: Financial Services for Innovation - The plan proposes measures to enhance financial services for the real economy, including the introduction of "technology talent loans" and the establishment of a scoring system for technology talent [8][9] - It aims to stimulate capital market activity and support the development of various financial products to facilitate direct financing for enterprises [8] Group 6: Resource Market Mechanisms - The plan emphasizes the need to improve market mechanisms for resource allocation, particularly in the electricity and water sectors, to support economic and environmental sustainability [10] - It includes initiatives to participate in national carbon trading and promote market-based water rights trading [10] Group 7: Advanced Production Factors - The plan focuses on the innovative allocation of production factors in emerging sectors such as artificial intelligence and low-altitude economy, aiming to enhance service sector reforms [11] - It proposes the establishment of a comprehensive analysis system for various production factors to facilitate better decision-making and resource allocation [11]

停车数据有什么 价值？广东援疆 推动数据资产登 记入表取得新突 破_南方+_南方 plus 停车数据、水务 数据也能产生经 济价值？日前， 广东数字援疆工 作再次取得重要 进展，推动喀什 地区公共服务领 域数据资产化迈 出关键一步。 12月13日，"数 据赋新能 资产 启华章"喀什市 数据资产入表成 果发布活动在广 州数据交易所 （喀什）服务基 地举办。近期， 在新疆维吾尔自 治区数字化发展 局、广东援疆前 方指挥部的指导 与支持下，喀什 市委市政府、喀 什地区数字化发 展局以及广州数 据交易所（喀 什）服务基地协 同推进，喀什城 投公共停车运营 管理有限公司 （简称"喀什城 投停车"）与喀 什水务集团有限 公司（简称"喀 什水务集团"） 成功实现数据资 产入表。 这也是全疆首批 数据资产登记入 表的成果。数据 资产入表是指数 据资源在满足一 定条件下被计入 财务报表，意味 进了数据的流通 与共享，让更多 的企业获取并运 用数据，助推数 字经济实现创新 发展。 数据资产化：让 停车数据"活起 来" 着数据能够进行 买卖、交易以及 抵押，进一步促 此次成果标志着 喀什在公共服务 数据资产化方面 取得实质性突 破 ...

Core Insights - The Guizhou Data Exchange has defined three core roles: as a core service provider for public data value realization, a builder of a market trust system, and an active collaborator in a unified national market [2][7] Group 1: Core Roles - The exchange aims to provide comprehensive services for public data, managing the entire chain from resource directory management to compliant product development [2][7] - It seeks to establish a trustworthy infrastructure that reduces costs and risks for all parties involved in transactions, rather than maximizing its own commercial interests [2][7] - The exchange contributes to a unified and orderly market by participating in cross-regional and cross-level rule alignment and standard recognition [2][7] Group 2: Implementation Measures - The exchange is focusing on solidifying a basic public service system, adhering to principles of fairness and openness, and providing one-stop public services to lower participation barriers [8] - It employs a "five-in-one" approach to cultivate a comprehensive ecosystem, involving rule definition, compliance strengthening, pricing promotion, safety assurance, and ecosystem nurturing [3][8] - The exchange collaborates with the Guizhou Big Data Group to transform public data into tradable products, focusing on product operation, compliance review, and market matching [3][8] Group 3: Future Outlook - The exchange aims to elevate data products to standardized assets, gaining broad recognition in financial markets [9] - It plans to enhance trading mechanisms to be more intelligent and scalable, aiming for breakthroughs in specific trading areas [9] - The exchange seeks to improve cross-domain collaboration through trusted data spaces, facilitating rule recognition and system interconnectivity [9]

他强调，数据交易所需兼顾公益性与盈利性，在坚守主责主业的同时，大胆探索合法合规的盈利模式。 展望未来发展路径，欧阳日辉提出 "三重深度融合" 战略：一是与实体产业深度融合，推动数据要素发 挥乘数效应，助力实体产业数字化转型与数据开发利用，探索数据资产化路径；二是与数据产业深度融 合，在数据产业集聚区建设、技术研发试验、数据资源整合中发挥作用；三是与数据市场发展深度融 合，主动融入全国一体化数据市场建设，参与数据安全、规范标准与创新模式的探索。 新浪声明：所有会议实录均为现场速记整理，未经演讲者审阅，新浪网登载此文出于传递更多信息之目 的，并不意味着赞同其观点或证实其描述。 责任编辑：李思阳 专题：2025中国企业竞争力年会 专题：2025中国企业竞争力年会 "2025中国企业竞争力年会"于12月9日至10日在北京举行。中央财经大学中国互联网经济研究院副院 长，中国市场学会副会长，教授、博士生导师欧阳日辉在演讲中谈及数据交易所的发展现状时表示，当 前行业面临两大核心问题：一是地方政府过高估计交易所对地方经济的拉动作用，同时过低低估其运营 难度；二是部分交易所固守撮合抽佣 的传统模式，未能契合数据作为新型生产要素 ...

Core Insights - The flower industry in Kunming, Yunnan, is evolving from traditional flower sales to data trading, with the first transaction of flower auction data taking place this year [1] - The Kunming Dou Nan Flower Market is the largest fresh-cut flower trading market in Asia and the second largest in the world, with projected trading volume and value for 2024 reaching 14.176 billion stems and 11.574 billion yuan respectively [1] - The establishment of the Kunming International Data Trading Platform aims to facilitate data transactions, with 447 products registered and a total transaction amount of 99.52 million yuan [2] Group 1 - The first transaction of flower industry auction data was completed between Kunming Dou Nan Agricultural Products Auction Co., Ltd. and Yunnan Finance Vocational College, utilizing real trading data for educational purposes [1] - The data product includes comprehensive information on flower categories, varieties, colors, grades, defects, openness, and length, processed from three years of trading data [1] - The data trading platform is designed to ensure data security by transforming raw data into compliant data products through cleaning and anonymization [2] Group 2 - The Yunnan provincial government is promoting the development of a data factor market, focusing on the effective utilization of data resources and the establishment of a trusted data space [3] - The platform aims to connect data providers, data demanders, and data merchants, ensuring compliance and safety in data transactions [2] - The initiative reflects a broader trend of leveraging data as a valuable asset in the flower industry, enhancing decision-making and operational efficiency [1][3]

Core Insights - The flower industry in Kunming, Yunnan, has begun trading data, marking a significant shift from traditional flower sales to data transactions [1] - The first transaction involved the sale of flower auction trading data between Kunming Dou Nan Agricultural Products Auction Co., Ltd. and Yunnan Finance Vocational College [1] - The Dou Nan Flower Market is the largest fresh-cut flower trading market in Asia and the second largest in the world, with projected trading volume and value for 2024 at 14.176 billion stems and 11.574 billion yuan respectively [1] Group 1: Data Trading and Utilization - The data transaction is based on three years of flower trading data processed to include various attributes such as flower types, grades, and defects [1] - The data is utilized for educational purposes, helping students enhance their business skills through simulated accounting practices [1] - The data is also expected to aid in financial reporting and decision-making for flower businesses [1] Group 2: Data Exchange Platform - The Kunming International Data Exchange Service Platform acts as a "data supermarket," facilitating transactions between data providers, demanders, and data processing entities [2] - The platform has registered 447 products and facilitated transactions amounting to 99.52 million yuan [2] - Data products undergo a rigorous process of registration, compliance checks, and certification before being traded [2] Group 3: Data Security and Compliance - Original transaction data is not directly circulated; it is cleaned and anonymized to ensure compliance and security [2] - The platform employs advanced technologies such as privacy computing and blockchain to create a trusted data space for secure transactions [2] Group 4: Data Market Development - Yunnan is focusing on unlocking the value of dormant data and promoting the development of the data factor market [3] - The province is implementing measures to enhance the management and utilization of data assets, aiming to improve the flow and application of data [3]