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Ad Alta : Journal of Interdisciplinary Research
Article . 2020 . Peer-reviewed
Data sources: Crossref
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TAX GAP AS A TOOL FOR MEASURING VAT EVASION IN THE EU COUNTRIES

Authors: Andrejovská, Alena; Konečná, Veronika; Hakalová, Jana;

TAX GAP AS A TOOL FOR MEASURING VAT EVASION IN THE EU COUNTRIES

Abstract

VAT is one of the most decisive tax revenues sources in the EU Member States. Due to financial frauds and insufficient tax system, there is a billion loss of EUR every year in the European budget. The article deals with the impact of the tax evasion on economies of the EU Member States. By applying the top-down approach, we observed tax gaps as a quantifier of tax evasion from 2004 to 2017. The period around the economic crisis in 2009 was examined in more detail, as there was a sharp change in the evolution of tax gaps. We constructed a regression model, which examined the relationship of the tax gap and VAT tax revenues to selected determinants of tax evasion. The results showed that tax gaps in the Member States have been growing every year. We also found that there is an increase in tax revenues, but tax liabilities increase to greater extent.

Country
Czech Republic
Keywords

tax evasion, tax collection efficiency, tax gap, tax transparency

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Top 10%
gold