Socioekonomické determinanty exekucí v České republice

Abstract

In recent years, despite good economic conditions and extremely low unemployment rate, Czech Republic is struggling with large amount of distraints imposed on its residents. The problem with distraints had its peak probably in 2016 with almost 10 % of residents having distraint imposed on them. These distraints can influence even more people through family, work or other kind of ties. Even though the situation started to improve in recent years, there were still 750 thousand people with distraints in Czech republic in 2019. This situation affects the whole society, inclusion of individuals but also the whole economy through labor market and scale of shadow economy. This effect can be uneven due to different regions having different amounts of people affected by distraints. The aim of this diploma thesis is to identify determinants influencing the proportion of people with distraints on given territory. The analysis utilises mainly panel data regresion and OLS regression due to short time period of availible data. It is found that higher GDP and higher education of population reduce the share of people with distraints on given territory and higher share of long-term unemployment, worse transport accessibility and occurrence of socially excluded localities increase the share of people with distraints. The results of regression analysis are in line with hypotheses about regression coefficients. These results are reflected in solution suggestions. In these suggenstions, attention is paid to unemployment, education and transport accessibility. Fundamental problem of these analyses is the availibility of data about distraints as well as data about economic indicators for smaller territorial units.