1.中国经济信息社,北京 100073
2.复旦大学计算与智能创新学院,上海 200438
3.上海市数据科学重点实验室,上海 200438
[ "高铭(1988-),女,新华社中国经济信息社中级经济师、首席大数据分析师,主要研究方向为数据要素市场化、数据挖掘与统计建模等。" ]
叶雅珍,yeyazhen@fudan.edu.cn
收稿:2026-03-17,
网络首发:2026-04-30,
移动端阅览
高铭,张瑾,叶雅珍.我国一体化数据市场发展水平评价指标体系构建与实证研究[J].大数据,
Gao Ming,Zhang Jin,Ye Yazhen.Construction and empirical research on the evaluation index system of China's integrated data market Development[J].BIG DATA RESEARCH,
高铭,张瑾,叶雅珍.我国一体化数据市场发展水平评价指标体系构建与实证研究[J].大数据, DOI:10.11959/j.issn.2096-0271.2026054.
Gao Ming,Zhang Jin,Ye Yazhen.Construction and empirical research on the evaluation index system of China's integrated data market Development[J].BIG DATA RESEARCH, DOI:10.11959/j.issn.2096-0271.2026054.
为评估我国一体化数据市场发展现状与区域差异,聚焦“一体化”核心特征,基于“五统一、一开放”政策框架,构建涵盖统一市场基础制度、统一市场基础设施、统一政府监管治理、统一要素资源市场、持续扩大对外开放5个维度的评价指标体系,采用层次分析法(AHP)赋权,对京津冀等九大重点战略区域18个代表城市2025年一体化数据市场发展水平进行实证测度。结果显示:我国一体化数据市场整体处于由“行政牵引”向“市场驱动”转型初期,呈现“基础制度超前引领、市场内生动力不足、对外开放差异化布局”的三层结构特征;空间上呈现“东高西低、南快北缓”格局,上海、北京、深圳构成核心引领极,几大城市群形成“多极异构、优势互补”的协同发展模式。基于此,建议从场景定价、分类施策、规则技术固化等方面推进数据市场系统性转型。
To assess the development status and regional disparities of China's integrated data market
this study focuses on the core characteristics of "integration" and constructs an evaluation index system based on the "Five Unifications and One Opening" policy framework. The system encompasses five dimensions: unified market foundational institutions
unified physical infrastructure
unified government regulation and governance
unified factor resource market
and continuous expansion of opening-up to the outside world. Using the Analytic Hierarchy Process (AHP) for weighting
an empirical measurement was conducted on the development level of integrated data markets in 18 representative cities across nine major strategic regions
including Beijing-Tianjin-Hebei
in 2025. The results show that the market is in the initial transition stage from "administrative-driven" to "market-driven". It presents a three-layer structural characteristic of "leading market foundational institutions
insufficient endogenous market momentum
and differentiated layout of opening-up". Spatially
it exhibits a pattern of "high in the east
low in the west; fast in the south
slow in the north
" with Shanghai
Beijing and Shenzhen forming the core leading poles
and several major urban agglomerations developing a synergistic "multi-polar heterogeneous and complementary advantages" model. Based on these findings
policy recommendations are proposed to promote the systematic transformation of the data market from aspects such as scenario-based pricing
categorized policy implementation
and institutionalization of rules and technologies.
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