Tourism is considered to be the largest service sector leading to a number of social and economic changes. The aim of this paper is to deduce the impacts of selected indicators of capacity and performance of tourism (such as number of accommodation facilities, number of beds, number of visitors in accommodation facilities, number of visitor’s overnight stays, average price of accommodation, and revenue of accommodation) on the socio-economic development of the national economy quantified by the rate of registered unemployment. The data were obtained from database of Statistical Office of the Slovak Republic on annually period. The analysis was carried out at the NUTS 3 level of Slovakia in the period between 2008 and 2017. Determining the extent of the impact of tourism capacity and profit potential indicators on the rate of registered unemployment in Slovakia has shown the supreme importance embodied in the average price for accommodation, confirmed by the result of the regression analysis, concluding that the unemployment rate decreases as the average price for accommodation increases. The analyses described were carried out using regression models, where the resulting relation between the price of accommodation and unemployment was conducted by using the simple linear regression.
The main aim of the paper was to analyse the economic and social development of the European Union (EU) member states (28 countries) on the basis of selected five multicriteria indices (the Global Competitiveness Index, the Economic Freedom Index, the Global Innovation Index, the Corruption Perceptions Index, the Human Development Index). To perform settled aim, a multidimensional classification of EU countries for years 2011 and 2018 using cluster analysis was realized. The purpose of the analysis was to categorize the individual EU countries into clusters and to find out to what extent the position of EU member states has changed in terms of selected international indices over the analysed period. Based on the findings, it is arguable that a major part of the EU member states cluster into the same groups based on the selected indices assessment, regardless of the time period. However, six countries (Czech Republic, Estonia, Germany, Latvia, Lithuania, and United Kingdom) improved their position during the period under review and ranked into the cluster of more prosperous countries in 2018. The rate of change (improvement) was quantified at the level of 21.43%. Based on the results, Latvia and Lithuania were the most similar countries in terms of economic prosperity (Euclidean distance reached the level of 3.08), while the least similar countries were Greece and Sweden (Euclidean distance reached the level of 70.8). Declining Euclidean distances indicate that economic disparities of the individual EU countries have decreased in the period under review. This paper aims at developing the research to find out how, besides hierarchy, we can analyse the EU member states from the perspective of various multicriteria indices. The four proposed clusters could be used as a starting point for future policy reforms, pointing to the weaknesses of various countries.
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