当代财经 ›› 2026, Vol. 0 ›› Issue (3): 127-139.

• 产业与贸易 • 上一篇    下一篇

跨境数据流动限制对生产性服务业全球价值链分工地位的影响研究

袁红林, 刘冬雪   

  1. 江西财经大学 国际经济与政治学院/区域国别经济研究院,江西 南昌 330013
  • 收稿日期:2024-06-04 修回日期:2026-01-07 出版日期:2026-03-15 发布日期:2026-03-26
  • 通讯作者: 刘冬雪,江西财经大学区域国别经济研究院助理研究人员,联系方式l19991612@163.com。
  • 作者简介:袁红林,江西财经大学教授,博士生导师,管理学博士,主要从事跨国公司与贸易网络治理研究。
  • 基金资助:
    国家社会科学基金青年项目“数字经济对中国企业出口升级的作用机理、效应及对策研究”(21CJY020)

A Study of the Impact of Cross-Border Data Flow Restrictions on the GVC Division of Labor Status of Producer Services

Yuan Hong-lin, Liu Dong-xue   

  1. Jiangxi University of Finance and Economics, Nanchang 330013, China
  • Received:2024-06-04 Revised:2026-01-07 Online:2026-03-15 Published:2026-03-26

摘要: 随着数字经济在全球范围内的深入发展,跨境数据流动对生产性服务业全球价值链分工地位具有重要影响。基于欧洲国际政治经济中心(ECIPE)的数字贸易限制指数数据库,对2014—2018年42个经济体的五大生产性服务业的跨境数据流动限制进行量化,并进一步就其对生产性服务业全球价值链分工地位的具体影响进行实证分析。研究发现,跨境数据流动限制显著抑制生产性服务业全球价值链分工地位的提升。异质性分析显示,批发零售业、交通运输和仓储业、租赁及其他商务服务业的全球价值链分工地位受抑制程度显著高于邮政电信业和金融保险业;相比于发达经济体,发展中经济体的生产性服务业全球价值链分工地位受到的抑制作用更大,而经济自由度较高的经济体能有效应对跨境数据流动限制的消极影响。机制分析表明,跨境数据流动限制通过抑制研发创新、引发人力资本结构失衡及增加贸易成本三条路径降低生产性服务业全球价值链分工地位。因此,政府应进一步完善平衡安全与效率的数据流动治理框架,通过激励技术创新、优化人力资本结构和降低贸易成本来强化要素支撑。同时应推动国际数据标准对接,并提升政策弹性与经济自由度,从而促进生产性服务业在跨境数据规制下的高质量发展。

关键词: 跨境数据流动, 生产性服务业, 全球价值链分工

Abstract: With the deepening development of the digital economy on a global scale, cross-border data flow has a significant impact on the global value chain division of labor in the productive service industry. Based on the Digital Trade Restrictions Index database of the European Centre for International Political Economy (ECIPE), this study quantifies the cross-border data flow restrictions of five major production service industries in 42 economies from 2014 to 2018, and further conducts an empirical analysis on their specific impact on the global value chain division of labor position of the production service industry. The findings show that cross-border data flow restrictions significantly inhibit the advancement of the global value chain division of labor in the productive service industry. The heterogeneity analysis shows that the global value chain division of labor position of wholesale and retail (including motor vehicle repair), transportation and warehousing, leasing, and other business service industries is significantly more suppressed than that of postal and telecommunications industries and financial insurance industries; compared to developed economies, the position of productive services in the global value chain division of labor in developing economies is more inhibited, while economies with higher economic freedom can effectively cope with the negative impact of cross-border data flow restrictions. The mechanism analysis shows that cross-border data flow restrictions reduce the global value chain division of labor position of productive service industries through three paths: inhibiting research and development innovation, causing imbalances in human capital structure, and increasing trade costs. Therefore, the government should further improve the data flow governance framework that balances security and efficiency, and strengthen factor support by incentivizing technological innovation, optimizing human capital structure, and reducing trade costs. At the same time, it should promote the integration of international data standards and enhance policy flexibility and economic freedom, thereby promoting the high-quality development of productive service industries under cross-border data regulation.

Key words: cross-border data flows, producer services, global value chain division

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