This thesis focuses on the topic of VAT in EU member states. The aim is to specify groups of member states in accordance to the significance of VAT in national tax systems and to identify factors, which may affect the grouping process. The hierarchical method of cluster analysis based on the 1995, 2002, 2009 and 2017 data is used for sorting states into similarity-based groups. Macroeconomic indicators characterizing VAT are chosen for cluster analysis: VAT per capita, VAT share of GDP, VAT share of total tax revenues, Standard rate and Average reduced rate. Development of cluster structure during the period discovers an increasing number of states separated into one-member clusters for their remarkable dissimilarity. It also indicates, that member states classification as OMS or NMS still remains a significant factor of the clustering process. So-called old and new member states seem to appear together in one cluster rarely. Testing of hypothesis of VAT convergence concerning 28 EU member states during 1995-2017 (in the field of chosen variables) is another sub-target of this paper. Via application of basic statistics on timeline data, and especially evaluation of coefficient of variation development, the hypothesis of VAT convergence in the EU during years 1995-2017 is proven.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:394573 |
| Date | January 2019 |
| Creators | ROZKOPALOVÁ, Jitka |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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