| 欧阳日辉,徐远彬.“十五五”时期数据要素市场化配置改革的理论探讨与策略措施[J].北京工商大学社科版,2025,40(5):1-11 |
| “十五五”时期数据要素市场化配置改革的理论探讨与策略措施 |
| Theoretical Discussion and Strategic Measures on the Reform of Market-Oriented Allocation of Data Elements During the 15th Five-Year Plan Period |
| 投稿时间:2025-07-05 |
| DOI:10.12085/j.issn.1009-6116.2025.05.001 |
| 中文关键词: “十五五”时期 数据要素 资源配置 市场化配置 体制改革 |
| 英文关键词:15th Five-Year Plan period data elements resource allocation market-oriented allocation institutional reform |
| 基金项目:国家社会科学基金重大招标项目“数据要素驱动经济增长的理论与政策研究”(23&ZD073);北京市社会科学基金重点项目“北京市打造具有国际竞争力的数字产业集群研究”(24JCB027);国家自然科学基金专项项目“数据市场化配置规律及其对数据价值释放的影响机理研究”(72442026)。 |
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| 中文摘要: |
| 数据要素市场化配置改革是中国“十五五”时期经济高质量发展的重要引擎。在理论探讨方面,需要厘清改革的动因、目的、本质、逻辑与内容。“十五五”时期,数据要素市场化配置改革重点涉及数据管理体制机制、数据基础制度、公共数据供给方式、数据流通交易模式、数据资产化管理、数据统计监测体系等六个方面。进一步看,“十五五”时期数据要素市场化配置改革,应沿着“先立后破”的改革策略、试点布局与协同推进、重点突破的路径选择、打造动力演化机制的路线图展开。在新举措方面,需要理顺数据开发利用的体制机制,适度超前建设“供得出、流得动、用得好、保安全”的数据基础设施,打造具有国际竞争力的数据产业集群,积极参与制定并引领全球数据流通交易的规则,构建敏捷智能的监管模式,为数据要素市场化配置改革提供强有力保障。 |
| 英文摘要: |
| The reform of market-oriented allocation of data elements serves as a key driver for high-quality economic development during China's 15th Five-Year Plan period. Theoretically, it is essential to clarify the motivations, objectives, essence, logic, and content of the reform. During this period, the reform will primarily focus on six key areas:data management systems and mechanisms, foundational data systems, public data supply methods, data circulation and transaction models, data asset management, and data statistics and monitoring systems. Furthermore, the reform should proceed along a roadmap that adheres to the strategic principle of establishing new systems before abolishing old ones, establishes pilot programs and coordination mechanisms, pursues breakthroughs in key areas, and develops a dynamic evolution mechanism. In terms of new initiatives, it is imperative to streamline institutional frameworks for data development and utilization, proactively develop robust data infrastructure capable of ensuring availability, fluidity, usability, and security, cultivate internationally competitive data industry clusters, actively participate in and lead the formulation of global standards for data circulation and trading, and establish agile and intelligent regulatory models to provide comprehensive support for the reform. |
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