
Nedarbo lygio sąsajos su ekonominiais rodikliais Lietuvoje
Author(s) -
Ilona Kiaušienė,
Inga Vidrevičienė
Publication year - 2015
Publication title -
management theory and studies for rural business and infrastructure development
Language(s) - English
Resource type - Journals
eISSN - 2345-0355
pISSN - 1822-6760
DOI - 10.15544/mts.2015.20
Subject(s) - unemployment , lithuanian , per capita , economics , european union , unemployment rate , demographic economics , work (physics) , labour economics , economic growth , population , demography , economic policy , mechanical engineering , engineering , linguistics , philosophy , sociology
High unemployment rate is one of the most pressing social and economic problems which are preventing residents make good use of the economic benefits. Although one of the main purposes of the European Union and Lithuania – to increase employment, statistical data show that the unemployment rate remains relatively high and in different regions of Lithuania is not the same. The aim of the work - analyse changes the level of unemployment in the regions of Lithuania and to determine a link between the level of unemployment and to economic indicators. The methodics of research: assessment of the territorial unemployment rate differentiation consists of three phases: 1) identify the territorial differentiation of unemployment and the reasons identified in the employment and labor market policies to reduce unemployment; 2) examined the unemployment trend in Lithuania; 3) set the relationship between the level of unemployment and selected economic indicators. For reserach was used the secondary data of Lithuanian Department of Statistics. The period of research 2009–2014 year. The results of research showed that unemployment rate in the analyzed period changed mostly in counties of Klaipeda, Telsiai and Panevezys. The unemployment rate in the four counties – Panevezys, Siauliai, Telsiai and Utena was higher than our overall national average. We have analyzed the relationship between unemployment and foreign direct investment per capita, material investments per capita, Lithuanian goods exports per capita. It confirmed that chosen economic indicators had a significant impact on the unemployment rate only in some counties during the analyzed period.