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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.

The tourism sector has the potential to contribute significantly to economic growth. In addition to the systematic support and promotion of tourism, it is necessary to know the factors that influence its development at both regional and national level. The aim of this paper is to analyse the significant social indicators in relation to the number of overnight stays at the level of the Prešov Self-Governing Region for the period 2001 - 2019 (before the Covid-19 pandemic). Based on the results of the correlation analysis (1st stage of the research) a significant relationship of the number of overnight stays with the social indicators was confirmed at the regional level: the economically active population with and without primary education, the number of students, the number of days of the average duration of 1 case of incapacity for work. The results of the research show a heterogeneous development of the studied social indicators in the period under study. At the same time, we note their degressive influence on the number of overnight stays. The simple linear regression model used reaches lower predictive values at the regional level, but the influence of the identified factors is not insignificant. [ABSTRACT FROM AUTHOR]

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Sustainable tourism is a challenge for current and future generations in an effort to develop it in the spirit of maintaining a balance between its basic pillars: economic, social and environmental. The presented contribution aims to identify the differences of significant social, economic, and environmental indicators with the tourism indicator. The analysis was carried out at the level of NUTS 1 - the Slovak Republic and at the level of NUTS 3 - Prešov self-governing region. In the first phase of the research, 6 significant indicators were identified at the level of the Slovak Republic and at the level of the Prešov self-governing region 5 significant indicators with tourism indicators. Comparison of significant indicators was carried out using torque characteristics of shape, position, variability and through a set of tests - Mann Whitney test, Levene test, and Kolmogorov-Smirnov test. The differences between the indicators at the national and regional level were shown to be significant every time, regardless of whether the indicator was identified as significant, primarily in relation to the number of overnight stays at the national or regional level. The documented results point to the heterogeneity of the quality, and also the quantity of social, economic, and environmental indicators with the tourism indicator at the national and regional levels. It can be concluded that the sustainable development of tourism at different levels is conditioned by different indicators. This fact should be considered by the state economic policymakers and other tourism industry entities. [ABSTRACT FROM AUTHOR]

The real estate market is an important part of the national economy as a source of investment, employment and the financial system. Considering the importance of residential real estate for the macroeconomic stability of the country, it is necessary to examine the development over time. The aim of the presented study is to analyze the development of the real estate market in Slovakia for the period 2013 to 2022 and to identify a statistically significant correlations between selected market sector indicators and the price of residential real estate. Based on the results, it is possible to monitor the make worse of housing availability in Slovakia. The reasons can be found in the rising price and interest rates. From the point of view of statistical analysis, the Intensity of housing construction indicator was confirmed as significant in relation to the price. And as the forecasts indicate, the real estate bubble will make worse. [ABSTRACT FROM AUTHOR]

Tourism considered as a complex global phenomenon is one of the most important economic sectors worldwide. The objective of this paper was to determine the extent of the impact of the capacity and profit potentials of tourism on the economic potential in the Slovak Republic on average for the period 2008 to 2017. The partial objective was to identify the mutual performance disparities among individual regions. We analysed the following indicators of the capacity potential: the number of accommodation facilities within tourism, the number of beds, the number of visitors, and the number of overnight stays by tourism visitors. Taking into account all the mentioned indicators, we state that the Žilina Region achieved the best capacity potential, while the Trnava Region achieved the weakest capacity potential. The succeeding metrics were analysed in assessing the profit potential at the regional level: average price for accommodation, revenues from accommodation, and net expenditures. The persisting existing disparities between the East and West of the country have been proven, as the Bratislava Region reached the best profit potential and the worst profit potential was noted in the Košice Region. The economic potential expressed by the average nominal wage and net money income confirmed the first rank for the Bratislava Region, while the lowest indicator values were found in the Prešov Region. In determining the impact of the output potential (capacity and profit) on the economic potential, the existing significant impact of the tourism profit potential on the economic potential of the Slovak Republic was confirmed. Based on the results, we can conclude that in order to increase the economic prosperity, especially in the context of indicators linked to wage, attention should be focused mainly on the service quality and price of accommodation, which is reflected in the achieving revenues analogically. [ABSTRACT FROM AUTHOR]

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 reasearch added value consists in the finding that one of the factors of the decrease in the unemployment rate is the support of the production potential of tourism, conditioned by the quality of the services offered, which are reflected in higher prices for accommodation. In the context of research conclusions, contributions are considerable for private and public sectors. For practice, we recommend to pay more attention to analyse of price for goods or services provided, as well as, to create suitable enterprise environment by creating efective tourism strategy in order to increase employment. [ABSTRACT FROM AUTHOR]