연구정보
[경제] How Would Data Localization Benefit India?
인도 국외연구자료 연구보고서 Carnegie 발간일 : 2022-04-14 등록일 : 2022-07-26 원문링크
자료이용안내
국내외 주요 기관에서 발표하는 자료들을 수집하여 제공하고 있습니다. 수록 자료의 자세한 내용은 해당 기관으로 문의하시기 바랍니다.
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.
본 페이지에 등재된 자료는 운영기관(KIEP) 및 EMERiCs의 공식적인 입장을 대변하고 있지 않습니다.
