Automatic exchange of information and cross border flows of personal data

Research output: Chapter in Book/Report/Conference proceedingBook chapter

Abstract

International cooperation between national tax authorities through exchange of information is becoming even more important than it was before in combating tax evasion. In this chapter, the implementation of automatic exchange of information is discussed with a focus on cross border flows of personal data. First, we discuss the legal framework for the ex-change of information. Article 26 of the OECD Model Tax Convention, the Intergovernmental Agreements (IGAs) concluded to in relation to the US Foreign Account Tax Compliance Act (FATCA), the Agreement on Exchange of Information on Tax Matters and Tax Information Exchange Agreements (TIEAs), the EU Directive which obliges EU Member states to implement Common Reporting Standards, the OECD Country by Country Reporting (CbCR) Implementa-tion Package (part of BEPS Action plan 13) and the EU Directive and other initiatives on the automatic exchange of information on tax rulings will each be analyzed. Special attention will be given to the Japanese implementation of exchange of information. Second, we will discuss Tax-payer Identification Numbers (TINs) as these are deemed important in improving the effectiveness of the exchange of information. Third, we discuss protection of personal information in relation to the implementation of automatic exchange of information with a focus on cross border flows of personal data.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Law

Keywords

  • Tax Law, administrative cooperation
Original languageEnglish
Title of host publicationQuality of life
Subtitle of host publicationLegal and tax systems to implement sustainable development goals (SDGS) in Japan and the Netherlands
EditorsYuka Shiba, Mami Oosugi, Kazuko Goto
Place of PublicationShizuoka
PublisherITSC
Chapter16
Pages232-252
Number of pages21
ISBN (Print)9784864741118
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedNo