Examining National Privacy Laws in the Context of International Trade

Caitlin Teresa Chin
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引用次数: 1

Abstract

In recent years, multiple government officials, members of civil society, industry representatives, and academic scholars have suggested that a direct relationship exists between a country’s data privacy framework and international trade prospects. However, quantitative research in this field is still nascent. Therefore, this thesis explores the relationship between countries’ data privacy laws and annual commercial services exports and imports. I hypothesize that a positive correlation exists between privacy laws and international trade: I predict that countries or territories with stronger national privacy laws are likely to see higher levels of commercial services exports and imports, holding constant various control factors. Using demographic and international trade data from the World Bank and the World Trade Organization, I adopt linear and fixed-effects regression models to analyze national data privacy frameworks from 202 countries or territories between 2005 and 2018. I find that the results of this study generally support my hypothesis, although I underscore the limitations of these findings, including missing data and uncontrollable confounding variables. Finally, I offer conclusions and policy recommendations based on my preliminary analysis and offer support for further research into this topic.
在国际贸易背景下审视国家隐私法
近年来,多位政府官员、民间社会成员、行业代表和学术学者提出,一个国家的数据隐私框架与国际贸易前景之间存在直接关系。然而,这一领域的定量研究仍处于起步阶段。因此,本文探讨了各国数据隐私法与年度商业服务进出口之间的关系。我假设隐私法和国际贸易之间存在正相关关系:我预测国家隐私法更强的国家或地区可能会看到更高水平的商业服务进出口,保持不变的各种控制因素。我利用世界银行和世界贸易组织的人口统计和国际贸易数据,采用线性和固定效应回归模型,分析了2005年至2018年间202个国家或地区的国家数据隐私框架。我发现这项研究的结果总体上支持我的假设,尽管我强调了这些发现的局限性,包括缺少数据和不可控的混杂变量。最后,在初步分析的基础上提出结论和政策建议,并为进一步研究提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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