The aim of this work is to analyse the dependence of carbon dioxide (CO₂) emissions on total energy consumption, the energy produced from renewable sources, the energy produced in nuclear power plants and the gross domestic product (GDP) in 22 European countries, over the period 1992–2019. The fully modified ordinary least squares model (FMOLS) and dynamic OLS (DOLS) were used to estimate the long-term cointegration relationship between the variables. First differenced (FD) general moments methods (GMM) were used in the estimation of short-run relationship dynamics. The results suggest that energy produced from renewable sources causes a reduction in CO₂ emissions per capita. On the other hand, total energy consumption increases CO₂ emissions in the long run. Although the mitigation effect of nuclear power was not found to be significant across the entire block of countries studied, a closer look at countries utilising nuclear energy reveals that nuclear energy positively affects the reduction in CO₂ emissions. Economic growth also has a positive effect on the reduction in CO₂ emissions, which confirms the decoupling of economic development from environmental impacts. These findings are crucial for understanding the causality between these variables and the adoption of new or revision of existing policies and strategies promoting the carbon-neutral and green economy at the EU and national level.

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO₂ emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

The scientific periodical journal (indexed on Web of Science) published by the Tomas Bata University in Zlin offers results of basic and applied economic research in the English language.

Although Slovakia is not yet well known on the international tourism market, regional specificity and variability predetermine the Slovak area for the development of tourism, which has become increasingly popular in recent years. The aim of this paper is to assess and visualize the tourism intensity in the NUTS III regions of Slovakia. Therefore, we calculate indicators such as Defert index, tourism intensity rate, Charvat index, index of territorial density of tourism, tourist density rate, and index of land use. Results show that Bratislava Region had the biggest volume of tourism intensity; the second position occupied the Zilina Region; and the Presov Region ranked third. We found out that there has been a positive change in the development of almost all tourism intensity indicators during the period from 2001 to 2016. Based on the values of the calculated indicators, it seems that Slovakia still has the opportunity to develop tourism sector in all regions.