Cross-border Data Flow Governance: The Integration of International Experience and China's Modernization Path

In the context of globalization and the rapid development of digital economy, data has become a new factor driving the development of productivity, and cross-border data flow has also become a key factor promoting international trade, investment and knowledge exchange. As two major data economies, the United States and the European Union have different legal frameworks and practice models in the management of cross-border data flows. The United States adopts a relatively decentralized and market-driven approach, regulated mainly through industry guidelines and federal and state laws. In contrast, the EU has formed a relatively unified legal system centered on personal privacy protection based on the General Data Protection Regulations (GDPR). This paper analyzes the cross-border data flow governance strategies of the United States and Europe to develop a suitable framework for China that incorporates international best practices while adapting to China's specific context. It suggests that China should learn from these advanced economies to create a flexible and effective data flow management system, ensuring a balance between data security and open communication. It also recommends enhancing China's data protection laws to align with its Civil Code and other legal systems, and advocates for China's participation in international efforts to establish global data governance standards. Ultimately, this paper outlines key considerations and strategic directions for China's future data governance strategy, offering insights and recommendations to support its modernization efforts.

Authors

Institutions

Publication Details

Journal
Highlights in Business Economics and Management
Published
2024-08-08
DOI
https://doi.org/10.54097/49setj81
Citations
1
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
1.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-border Data Flow Governance: The Integration of International Experience and China's Modernization Path

Zhuoru Zhang
1 citations
Highlights in Business Economics and Management
Privacy, Security, and Data Protection
1.13
article

Cross-border Data Flow Governance: The Integration of International Experience and China's Modernization Path

Zhuoru Zhang
article en
1 citations

Abstract

In the context of globalization and the rapid development of digital economy, data has become a new factor driving the development of productivity, and cross-border data flow has also become a key factor promoting international trade, investment and knowledge exchange. As two major data economies, the United States and the European Union have different legal frameworks and practice models in the management of cross-border data flows. The United States adopts a relatively decentralized and market-driven approach, regulated mainly through industry guidelines and federal and state laws. In contrast, the EU has formed a relatively unified legal system centered on personal privacy protection based on the General Data Protection Regulations (GDPR). This paper analyzes the cross-border data flow governance strategies of the United States and Europe to develop a suitable framework for China that incorporates international best practices while adapting to China's specific context. It suggests that China should learn from these advanced economies to create a flexible and effective data flow management system, ensuring a balance between data security and open communication. It also recommends enhancing China's data protection laws to align with its Civil Code and other legal systems, and advocates for China's participation in international efforts to establish global data governance standards. Ultimately, this paper outlines key considerations and strategic directions for China's future data governance strategy, offering insights and recommendations to support its modernization efforts.

Highlights in Business Economics and ManagementVol. 39
Anhui University (CN)
Anhui University
Openalex Percentile: Top 17%
Privacy, Security, and Data Protection
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cross-border Data Flow Governance: The Integration of International Experience and China's Modernization Path — Zhuoru Zhang · Highlights in Business Economics and Management (2024) | TGRS Research Map | TGRS