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Public Administration in EU: Harmonization of Income Taxes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F19%3AN0000054" target="_blank" >RIV/04130081:_____/19:N0000054 - isvavai.cz</a>

  • Result on the web

    <a href="https://mmi.fem.sumdu.edu.ua/sites/default/files/22_A279-2019_Korecko%20et%20al.pdf" target="_blank" >https://mmi.fem.sumdu.edu.ua/sites/default/files/22_A279-2019_Korecko%20et%20al.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21272/mmi.2019.4-22" target="_blank" >10.21272/mmi.2019.4-22</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Public Administration in EU: Harmonization of Income Taxes

  • Original language description

    In the European communities, the need for tax harmonization has begun to commence since the beginning of integration efforts in the 1960s. The first attitudes to tax harmonization were very ambitious. The plan was not only structural harmonization but also harmonization of tax rates. The paper examines the nature and course of the direct tax harmonization process, describes its advantages and disadvantages as well as the positive and negative effects of tax competition. The paper aims to examine the development and volume of selected income taxes collected in the Member States of the European Union. It tells whether the harmonization of income taxes is still a stagnant process. Cluster analysis deals with looking for similarities of multidimensional objects. Two clustering methods were used - hierarchical agglomeration clustering and non-hierarchical clustering. Cluster analysis aimed to achieve groups of states that would have some homogeneity. Cluster analysis sorted the data into sets with the highest possible similarity within the group and the most significant difference between the groups. Analysis of tax burden and income tax rates confirmed significant differences in these indicators across the EU. On the other hand, cluster analysis revealed similar developments in tax systems in terms of their geographical location in Europe. Cluster analysis can be used to suggest possible steps to co-operate in harmonizing Member State taxes in the future. The authors of this article propose the possibility of harmonizing taxes and cooperating gradually within clusters rather than trying to apply uniform rules in all EU Member States at the same time. The conclusion of the article raises problems in the field of harmonization of direct taxes in the EU. The possibility of preserving autonomy in deciding on tax burden in the country is left to the many Member States because they see that autonomy as a competitive advantage, particularly in the field of investment.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Marketing and Management of Innovations

  • ISSN

    2218-4511

  • e-ISSN

    2227-6718

  • Volume of the periodical

    2019

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    UA - UKRAINE

  • Number of pages

    12

  • Pages from-to

    280-291

  • UT code for WoS article

    000526405100001

  • EID of the result in the Scopus database