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三维政策工具下我国公共数据授权运营政策研究OA

Research on China's public data authorization operation policy under three-dimensional policy tools

中文摘要英文摘要

公共数据授权运营能够深化数据要素市场化配置改革、加快公共数据的开发利用,挖掘公共数据的潜在价值能够促进数字经济的高质量发展.通过分析当前我国地方政府发布的公共数据授权运营政策文本,可为地方政府后续出台相关政策提供参考.以政策工具理论为基础构建"政策工具-治理领域-政策影响力"的三维分析框架,并运用NVivo14 对2021~2025 年地方政府出台的37 份公共数据授权运营政策文本进行量化分析.研究发现,政策工具结构失衡,环境型政策工具依赖程度高,需求型政策工具相对缺失,政策拉力不足;治理领域分布不均,较多关注经济领域,对政治、生态领域关注较少;政策影响力在我国存在梯度差距,即政策影响力呈现东部>中部>西部>东北的格局.基于此,该研究分别从政策工具、治理领域和政策影响力三个维度提出优化对策.

The authorized operation of public data can deepen the reform of the market-oriented allocation of data elements,accel-erate the development and utilization of public data,and tap the potential value of public data to promote the high-quality develop-ment of the digital economy.By analyzing the current policy text of public data authorization and operation issued by local govern-ments in China,it can provide reference for local governments to introduce relevant policies in the future.Based on the policy in-strument theory,this paper constructs a three-dimensional analytical framework of"policy tools-governance domain-policy influ-ence",and uses NVivo14 to quantitatively analyze 37 public data authorization operation policy texts issued by local governments from 2021 to 2025.The results show that the structure of policy tools is unbalanced,the dependence on environmental policy tools is high,the demand-based policy tools are relatively lacking,and the policy pull is insufficient.The field of governance is unevenly dis-tributed,with more attention paid to the economic field and less attention to the political and ecological fields.There is a gradient gap in policy influence in China,that is,the policy influence presents a pattern of eastern>central>western>northeast.Based on this,this study proposes optimization countermeasures from three dimensions:policy tools,governance domains,and policy influence.

乔舒静;姜景;陈悦

安徽大学 管理学院,安徽 合肥 230601安徽大学 管理学院,安徽 合肥 230601安徽大学 管理学院,安徽 合肥 230601

经济学

公共数据授权运营三维分析框架政策文本量化分析政策影响力

authorized operation of public datathree-dimensional analytical frameworkpolicy textsquantitative analysispolicy influence

《网络安全与数据治理》 2025 (6)

62-68,81,8

安徽省哲学社会科学规划青年项目(AHSKQ2022D118)

10.19358/j.issn.2097-1788.2025.06.009

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