Abstract

ALENA, Andrejovská; LUCIA, Mihóková  and  SLAVOMIRA, Martinková. Meta-analysis categorization of EU countries in the context of corporate income tax. Contad. Adm [online]. 2017, vol.62, n.3, pp.1001-1018. ISSN 0186-1042.  https://doi.org/10.1016/j.cya.2017.04.002.

The corporate income tax is a corporate tax which aggregates economic, political and social aspects. The paper focuses on identification, analysis and assessment of homogenous EU countries groups, which show the common characteristics in the field of corporate taxation based on the selected segmentation criteria. Within the statistical meta-analysis in this paper some several methodical approaches were used: variants of agglomerative hierarchical cluster analysis, k-means method and fuzzy c-means and also multidimensional scaling method are implemented and compared. The purpose of this research is, in the context of theoretical implication to provide a synthesis of knowledge and empirical evidence about selected determinants of corporate taxation, and to verify the applicability of the clustering methods when gaining knowledge in the field of taxation. In the context of practical implication is the main purpose of this research the categorization of European countries into economically meaningful clusters, based on their similarity in corporate taxation, and to assess the convergence of European countries in corporate taxation. Results of provided cluster analysis are five groups of multidimensional objects with distinctive characteristics: nominal and effective corporate tax rate, economic performance and the level of debt.

Keywords : Corporate tax; Nominal and effective corporate tax rate; Tax competition; Tax convergence; Cluster analysis.

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