The primary aim of this study is to explore how the Member States of the European Union have responded to the crisis, what labour market interventions were preferred, how the structure of labour market expenditures changed between 2008 and 2018. On the other hand, examines the connections between the indicators of the Europe 2020 strategy, as well as the possibilities of condensing the indicators into principal components. Along the dimensions of the created main components, the Member States were grouped by K-mean cluster analysis. The paper also analyses the relationship between the established clusters and the labour market expenditures of each Member State.
A kutatás keretében egyrészt vizsgáltuk a hazai munkaerő-piaci adatbázisokat, valamint, hogy az Európa 2020 stratégiában megfogalmazott foglalkoztatási és kvalifikáltságra vonatkozó célkitűzések teljesülnek-e országos és megyei szinten. Másrészt arra vállalkoztunk, hogy feltérképezzük a Békés megyei munkaerő-tartalékba tartozó, nyilvántartott álláskeresők kor és iskolai végzettség szerint kategorizált térbeli koncentrációját, illetve annak változását 1993 és 2019 között.
The study uses different statistical methods to examine the change in the territorial distribution and concentration of the tertiary-educated population and the unemployed between 2001 and 2019. Among the known regional inequality indicators measuring regional disparities, the Dual index and the Hoover index were used. With the help of the location quotient (LQ), the representation of those with higher education in relation to the average was explored and represented at the settlement level. Territorial autocorrelation was performed to more complexly examine the distribution and concentration of tertiary graduates within the population and the unemployed. Spatial neighborhood impact was analyzed using the Global and Local Moran Index. The autocorrelation confirmed regular spatial arrangements in the spatial distribution of tertiary graduates. The study explores whether different weighting of raw data affects the result of autocorrelation, furthermore determines the differences between the location quotient and the GIS representation of Local Moran I.
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