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.
The public funds have become a major source of finance for clusters in the last decade, also in European countries. The source of financing clusters and innovation performance of the countries is directly connected to subjects of the national/regional cluster policy, i.e. to its centralisation. The paper examines the relationship between European country attitude towards financial support provided for cluster and country innovative performance in a sample of 125 clusters from 25 European countries. The own empirical investigation is based on primary research using the Kruskal-Wallis test and Mann-Whitney tests with Bonferroni. The investigation is focused on facts whether statistically significant differences in the amount of subsidies from national, regional, local and “European” levels between clusters in European countries influence their level of innovation performance. The finding shows that there are no statistically significant differences in the exploitation of resources from the Structural Funds and community programmes of the EU in the examined clusters in the countries with different levels of innovation performance. However, the clusters in the countries with higher levels of innovation performance receive funds in the form of central government and regional self-government subsidies more frequently than the clusters in the countries with lower levels of innovation performance.
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