Generolo Jono Žemaičio Lietuvos karo akademija

The purpose of this investigation was to empirically assess the association between military expenditure and income inequality in the 19 European member states of NATO between 2011 and 2022. To achieve this, the authors carried out multivariate statistical analysis using Kaplan-Meier life tables and survival estimation techniques. The results highlighted a trend in the countries analysed that income inequality tended to decrease when investment in the military increased during the period under consideration. The association manifested itself in the shortest time in the group of countries with the lowest military spending per capita, while emerging in the longer term in the countries with the highest. Furthermore, under high threat of war, the association tends to be shortest in relative terms in countries with the lowest military expenditure per capita. The results also revealed that the association between military spending and income inequality is more pronounced in the smallest countries by population and those with the lowest military expenditure per capita. The authors believe that this investigation will enrich scientific knowledge with new insights.

This paper has aimed to explore the inter-linkages of economic growth, poverty and inequality in the context of the European Union (EU) countries during the period of 2005 – 2016. Descriptive statistics analysis and econometric methods have been applied for this purpose. Research results have revealed statistically significant interrelationships between growth and poverty in half of the European Union countries. Moreover, in majority of these countries poverty has been elastic of economic growth. It should be noted, that the countries with higher level of economic development have relatively smaller share of population living below the national poverty lines. However, we cannot say the same about the growth – inequality relationships, which have varied across the EU countries. There are economically strong countries with relatively high income inequality and economically weaker countries with lower income distribution coefficients. However, in many cases poverty and income inequality tend to move in the same direction, i.e. as one increases, the other as well and vice versa. Finally, the insights of the research could be useful in developing a common strategy for smart, sustainable and inclusive growth and achieving the goals for Europe 2020.