现代情报2025，Vol.45Issue(8)：109-120,12.DOI:10.3969/j.issn.1008-0821.2025.08.009
我国数据跨境流动治理政策分析与优化路径研究
Research on Policy Analysis and Optimization Path of Cross-Border Data Flow Governance in China
摘要
Abstract
[Purpose/Significance]The cross-border data flow governance policy is an important basis for the govern-ance of a country's cross-border data flow in the context of global digital transformation,and plays an important guiding role in improving the data governance system and safeguarding the security of national data resources.[Method/Process]To an-alyze Chinese current major cross-border data flow governance policies,this study constructed a framework containing exe-cuting subjects-policy tools-policy objectives,revealing the main content,basic logic,and implementation path of Chi-nese governmental cross-border data governance system.[Result/Conclusion]According to the findings,there is a rela-tively single main body for the implementation of cross-border data governance policies in China,with less involvement of third-party organizations.Chinese cross-border data governance policies are in an imbalanced state of supply-heavy and demand-light in the policy instrument dimension,with polarized content structure of environmental instruments.Insufficient coordination in the goal dimension,focusing primarily on data security,flow efficiency,and standardized management,while neglecting the goal of personal information rights and interests.It is believed that the policy system should be improved from the standpoints of balanced policy instrument configuration,synergy of multiple subjects,and optimized combination of objectives,in order to promote the safe and orderly flow of data across borders and help realize the value of Chinese na-tional data resources.关键词
数据跨境流动/政策工具/政策目标/执行主体/协同网络Key words
cross-border flow of data/policy instruments/policy objectives/implementation subjects/collabora-tive network分类
社会科学引用本文复制引用
吴佳纯,董克,马廷灿..我国数据跨境流动治理政策分析与优化路径研究[J].现代情报,2025,45(8):109-120,12.基金项目
科技大数据湖北省重点实验室开放课题项目"数据要素流动风险应对策略研究"(项目编号:E3KF461001). （项目编号:E3KF461001）
