欧盟GDPR的福利效应和数据本地化措施

ERN: Analytical Models (Topic) Pub Date : 2019-04-03 DOI:10.2139/ssrn.3407208

Kyu Yub Lee, Moon hee Cho, Jungu Kang, Minji Kang

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引用次数: 1

摘要

在本研究中，为了在统一的框架下检验欧盟GDPR和数据本地化措施对全球经济的福利影响，我们建立了一个带有数据保护法规的量化贸易模型。数据本地化措施可能产生额外的贸易成本，这可能成为依赖跨境数据流动的贸易伙伴中的公司的贸易壁垒。此外，欧盟通过GDPR实现的成就可能主要是以牺牲非欧盟国家组成的贸易伙伴为代价的。

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Welfare Effects of the EU GDPR and Data Localization Measures

In this study, we set up a quantitative trade model with data protection regulation in order to examine the welfare impact of the EU GDPR and data localiztaion measures on the global economy in a unified framework. Data localization measures can create additional trade costs, which can serve as trade barriers for firms in trading partners that rely on cross-border data flows. Aslo, the EU’s achievements realized by the GDPR may come mainly at the cost of trading partners consisting of non-EU countries.

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ERN: Analytical Models (Topic)

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