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作 者:童德华[1] 张与欣 TONG Dehua;ZHANG Yuxin
机构地区:[1]中南财经政法大学国家治理学院 [2]中南财经政法大学
出 处:《信息技术与管理应用》2024年第6期58-70,共13页Information Technology and Management Application
基 金:中央高校基本科研业务费项目“数字金融安全的挑战及重大风险问题的刑事治理”(2722024AK005);中南财经政法大学中央高校基本科研业务费专项中研究生科研创新平台项目“总体国家安全观视阈下数据安全的风险防控研究”(202412307)。
摘 要:跨境数据流动领域安全风险频发,在实践层面面临着如监管效率不足、监管体系不完善、监管效果不佳等挑战,究其原因,是因为当前我国对其监管尚无成熟的理论基础指导。回应性监管理论强调监管机构与被监管者的良性互动,要求调动各种力量参与监管过程,较符合我国目前跨境数据流动监管需要,且该理论在欧美数据监管领域也得到了充分运用,可以为我国跨境数据流动监管模式提供经验。无论是从实践还是理论领域分析,都可得出该理论适用于我国目前跨境数据流动监管领域的结论。基于此,文章结合回应性监管理论提出坚持科学监管理念,促进跨境数据流动发展,具体如下:(1)以回应性监管理论为基础,坚持多元主体共同参与的理念,推动跨部门协同监管,增强政企间互动。(2)在跨境数据流动监管实践中,采用分级分类监管,优化监管效能。Cross-border data flows are prone to security risks,and in practice,face challenges such as insufficient regulatory efficiency,imperfect regulatory systems,and poor regulatory outcomes.The root cause is that China currently lacks a mature theoretical basis for its regulation.Responsive regulation theory empha-sizes the positive interaction between regulatory agencies and the regulated,calling for the mobilization of va-rious forces to participate in the regulatory process.This theory is quite suitable for China's current needs in the regulation of cross-border data flows and has been fully applied in the data regulation fields of Europe and the United States,providing experience for China's cross-border data flow regulation model.Both prac-tical and theoretical analyses lead to the conclusion that this theory is applicable to China's current cross-border data flow regulation field.Based on this,the article proposes,in conjunction with responsive regula-tion theory,to adhere to a scientific regulatory concept and promote the development of cross-border data flows,specifically as follows:(1)Based on responsive regulation theory,adhere to the concept of multi-stakeholder participation,promote cross-departmental collaborative regulation,and enhance interaction be-tween government and enterprises.(2)In the practice of cross-border data flow regulation,adopt tiered and categorized regulation to optimize regulatory efficiency.
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