Abstract
To date, the global community has yet to establish a unified and widely acknowledged framework for data flow standards. Given the role of cross-border data flow in advancing globalization, this study examines the collaborative governance approach to cross-border data flow in China, aiming to offer insights that can enhance the efficiency of such governance in the country. By comparing and analyzing the regulatory models employed by the United States, the European Union, and China in the formulation of cross-border data flow regulations, this paper suggests practical revisions to the rules of each jurisdiction. Furthermore, it outlines a pathway to alleviate the challenges associated with the collaborative governance of cross-border data flow in China, by addressing the existing dilemmas. The paper recommends several concrete measures to ensure the mutual protection of sovereignty and data security through enhanced multilateral agreements, to develop comprehensive cross-border data regulations via the establishment of pertinent international legal frameworks, to facilitate seamless cross-border data flow through the widespread adoption of international data laws, and to take into account the broader implications of technological advancements in resolving cross-border data flow issues. The ultimate goal is to foster the long-term, sustainable, and healthy development of China’s collaborative governance of cross-border data flow.
References
Shuai Guo & Xiang Li.(2025).Cross-border data flow in China: Shifting from restriction to relaxation?.Computer Law & Security Review: The International Journal of Technology Law and Practice106079-106079.
Yan Lu.(2024).Research on the Balance Mechanism of Rights Conflict in the Cross-border Flow of Personal Financial Data.Academic Journal of Management and Social Sciences(3),93-102.
Yang Liu,Yuan Zhang,Rui Jiang,Jing Cheng & JingJing Dai.(2024).Limiting heterogeneity in cross-border data flow: Impact on domestic value chains stability and the role of innovation..PloS one(8),e0308716.
Chaisse Julien,Dimitropoulos Georgios & Chaisse Julien.(2023).‘The Black Pit:’ Power and Pitfalls of Digital FDI and Cross-Border Data Flows.World Trade Review(1),73-89.5.
Sekgoka Chaka Patrick,Yadavalli Venkata Seshachala Sarma & Adetunji Olufemi.(2022).Privacy-preserving data mining of cross-border financial flows.Cogent Engineering(1),
Huang Gui & Lei Yin.(2022).The Norms on Cross-Border Data Flows in the RCEP.Asian Journal of Law and Economics(3),375-404.
Li Jing.(2022).Outbound Data Legality Analysis in CPTPP Countries under the Environment of Cross-Border Data Flow Governance.Journal of Environmental and Public Health6105804-6105804.
Mercurio Bryan & Yu Ronald.(2022).Regulating Cross-Border Data Flows::Issues, Challenges and Impact.
Mitchell Andrew D & Mishra Neha.(2019).Regulating Cross-Border Data Flows in a Data-Driven World: How WTO Law Can Contribute.Journal of International Economic Law(3),389-416.
Susan Ariel Aaronson.(2019).Data is different, and that’s why the world needs a new approach to governing cross-border data flows.Digital Policy, Regulation and Governance(5),441-460.
Dan Jerker B. Svantesson.(2019).Protecting Privacy on the 'Borderless' Internet - Some Thoughts on Extraterritoriality and Transborder Data Flow.Bond Law Review.
Sekgoka Chaka Patrick,Yadavalli Venkata Seshachala Sarma & Adetunji Olufemi.(2022).Privacy-preserving data mining of cross-border financial flows.Cogent Engineering(1).

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