FDI in Services: How Data Provisions Are Shaping the New Global Economy

IF 2.2 3区 社会学 Q1 INTERNATIONAL RELATIONS
Global Policy Pub Date : 2026-06-09 Epub Date: 2026-04-08 DOI:10.1111/1758-5899.70163
Carmen Díaz-Mora, Erena García-López, Belén Gonzalez-Díaz
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Abstract

Coinciding with a process of slowbalization in goods, cross-border flows of services have experienced a sharp increase, with FDI through commercial presence emerging as the dominant mode of international services supply. At the same time, a growing number of trade agreements have incorporated binding data-related provisions aimed at regulating cross-border data flows and data protection. This paper investigates the impact of such provisions on bilateral foreign affiliates in services, with a focus on data-intensive services, using a structural gravity model. Our results reveal that the presence of data provisions in trade agreements does not uniformly promote foreign affiliates in services. Trade agreements with deeper commitments on data-related provisions are associated with a greater number of foreign affiliates in the services sector, particularly when there is regulatory divergence on data governance between partner countries. Conversely, in the case of information services—a highly data-intensive sector—these provisions appear to enhance remote service delivery, thereby reducing the incentives for FDI, especially when countries have divergent data regulatory models. These results highlight how countries' data regulatory contexts and sectoral characteristics condition the effects of data-related provisions in trade agreements on FDI.

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服务业的外国直接投资:数据供应如何塑造新的全球经济
与货物的缓慢化进程相一致,服务的跨境流动急剧增加,通过商业存在的外国直接投资成为国际服务供应的主要方式。与此同时,越来越多的贸易协定纳入了旨在规范跨境数据流动和数据保护的具有约束力的与数据有关的条款。本文使用结构重力模型,研究了此类规定对双边外国服务子公司的影响,重点是数据密集型服务。我们的研究结果表明,贸易协定中数据条款的存在并没有统一地促进服务业中的外国子公司。对数据相关条款作出更深入承诺的贸易协定与服务部门的更多外国附属机构有关,特别是在伙伴国之间在数据治理方面存在监管分歧的情况下。相反,在信息服务这一数据高度密集的部门,这些规定似乎加强了远程服务的提供,从而减少了对外国直接投资的激励,特别是在各国数据监管模式不同的情况下。这些结果突出了各国的数据监管背景和部门特征如何制约贸易协定中与数据有关的条款对外国直接投资的影响。
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来源期刊
Global Policy
Global Policy Multiple-
CiteScore
3.60
自引率
10.50%
发文量
125
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