연구정보
[경제] How Would Data Localization Benefit India?
인도 국외연구자료 연구보고서 - Carnegie 발간일 : 2022-04-14 등록일 : 2022-07-26 원문링크
Data localization refers to various policy measures that restrict data flows by limiting the physical storage and processing of data within a given jurisdiction’s boundaries. Multiple countries have adopted localization policies to combat multiple concerns over the free flow of data. A vital question, then, is whether any particular variant of data localization would help the Indian government meet its multiple stated objectives for considering such a policy course.
There are four key types of localization variants. These include (a) conditional localization that entails a local storage requirement, (b) unconditional local storage requirements (for all personal data), (c) unconditional mirroring requirements (for all personal data), and (d) the unconditional free flow of data with bilateral/ multilateral agreements for data access and transfers. This paper breaks up these four variants further into a total of nine specific designs and evaluates which would best serve India’s objectives.
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