Public Administration in EU: Harmonization of Income Taxes
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Public Administration in EU: Harmonization of Income Taxes
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Public Administration in EU: Harmonization of Income Taxes
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Marketing and Management of Innovations
ISSN
2218-4511
e-ISSN
2227-6718
Svazek periodika
2019
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
UA - Ukrajina
Počet stran výsledku
12
Strana od-do
280-291
Kód UT WoS článku
000526405100001
EID výsledku v databázi Scopus
—