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The paper presents a partial evaluation of employment and factors related to the labour markets in European countries in 2007-2016. The interconnectedness of these determinants in the context of GDP dynamics per capita for each country was examined. The quoted partial subject literature and empirical research allowed to formulate the most important conclusions, among others: in the context of GDP dynamics per capita, at least four groups of countries can be distinguished in Europe, each of them has completely different characteristics having an influence (in the Granger causality sense) on change in GDP per capita of these countries for various time steps.

The article presents selected relationships between satisfaction with the financial situation and belonging of the state to the former socialist bloc, and selected labour market factors. Pearson's correlation coefficient, LOG and LOGIT modelling were used to show the European differentiation with labour market factors such as exposure to risk factors, work-related health problems, working in the evenings, number of usual weekly hours of work, employment rates, working at nights, working on Saturdays and long-term unemployment. Key in the differentiation of two groups of countries were the number of usual weekly hours of work, working at nights and working in the evenings. Further analysis of variables enabled the indication of factors such as long-term unemployment, the number of usual weekly hours of work and work-related health problems as determining the level of satisfaction with the financial situation in the countries studied.

<b>Aim of the study:</b> The aim of this work is an attempt to assess the effectiveness of the European Union's investment interventionism based on the relationship between GDP per capita and total EU expenditure for a given country of the Visegrad Group in the years 2000- 2017. <br/><b>Materials and methods:</b> The empirical study used the annual frequency data from the European Union budget for the years 2000-2017 and World Bank data on the Gross Domestic Product per capita in a given year. The study part uses scatter plots of selected variables and the Pearson correlation coefficient. <br/><b>Results:</b> The results of the research allowed to indicate the tendency of the occurrence of interdependence between the EU expenditure and GDP per capita for the adopted time series.