This paper aims to quantify the impact of direct equity ownership links between Slovak companies and tax havens. We distinguish between three types of tax haven: onshore, midshore and offshore. The financial impacts are measured by indicators of profitability (ROA); activity (total asset turnover); liquidity (current ratio); and bankruptcy (IN05). To measure the impacts, we link the Bisnode and Finstat databases. The first database lists those Slovak companies that had links with tax havens during 2005–2015. The second provides financial statements for all Slovak companies. It was found that: 1) There are statistically significant differences in all investigated indicators between Slovak companies with and without links to tax havens. Those with links to tax havens generally reported worse economic situations and levels of performance compared to those without such links. We conclude that having a parent company resident in a tax haven had a negative effect on financial performance. 2) There are statistically significant differences between the selected indicators of company performance, across the different categories of tax haven, and for companies with no links to tax havens. 3) Those with no such links show statistically significant correlations between all their examined performance indicators. But for those companies with links to tax havens, the only statistically significant correlation was between profitability and the remaining indicators. 4) Companies with ownership links to tax havens are clearly engaged in profit-shifting activities. The results suggest opportunities for follow-up projects, especially focusing on different industries and company size that could specify their heterogeneous approaches and variability in objectives.
The paper aims to analyse the sectoral division of the national economy in the Slovak Republic from various points of view. The authors examine the developmental changes in the number of people employed in different economic sectors (primary, secondary, tertiary, and quaternary) from 1948 to 2018 reflecting the natural development of the economy over that time. In order to do this, they have used a logical and comparative study of theoretical knowledge in accordance with the analysis of empirical data. The descriptive statistics are based on a sample of aggregate data about sectoral division in the Slovak Republic for the period 1948–2018. A cluster analysis on the data of sectoral division in all EU member states in 2010 and in 2017 was carried out in order to obtain a basic overview and opportunity to compare. The main focus of this paper is to examine the impact of sectoral division of the national economy on the Slovak Republic’s real GDP per capita. The research is based on panel regression as well as Granger causality tests on a sample of all 8 Slovak regions between 2001 and 2018. The results of the Granger causality tests show that causality runs one-way from all four sectors to real GDP per capita. Based on this, it is appropriate to carry out panel regression analysis. The results of this analysis suggest that all given sectors in period t−1 have had a significant impact on GDP per capita. In particular, the primary and secondary sectors have both had a relatively significant negative impact while the tertiary and quaternary sectors have had a positive one. It is interesting that the tertiary sector has had a greater positive impact than the quaternary one in the Slovak Republic.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.