lexical studies, a sufficiently extensive basis for an analysis of personality lexicon is considered to be dictionaries with more than 100,000 entries. They contain between 10,000 and 15,000 nouns and adjectives that qualify as personality descriptors. Previous studies (Gorbaniuk, Markiewicz, Bą kowicz, & Ratajewska, 2010) showed that respondents generate an average of 2.36 personality descriptors per one politician. To obtain a pool of personality descriptors comparable to an average lexical study, it was necessary to test 200 respondents (2.36 descriptors per politician  31 politicians  200 subjects = 14,632 descriptors). * p < 0.05. ** p < 0.001.

The paper focuses on the identification of the relationship between tourism and economic growth of the Carpathian Euroregion located across seven borders of Central and Eastern European countries (Slovakia, Ukraine, Poland, Hungary, and Romania). By analysing the relationship between tourism and economic growth within the region, the paper quantifies the positive impact of tourism on GDP growth per capita. To test for the existence and strength of such a relationship, we use a panel econometric model based on conditional β-convergence. The results confirm the tourism-led growth hypothesis, and determine the extent of regional disparities in tourism activities between different parts of the Carpathian Euroregion, observed during the increase in tourist attractiveness between 2005 and 2015. For Ukraine, where political instability has led to a decrease in the total number of visiting tourists, we show that the dynamics for its part of the Carpathian Euroregion are markedly different, as it has benefited from the changing structure of tourist flows.