Abstract [eng] |
Public welfare, reducing social and income exclusion are the most relevant topics of social studies to date. There has been studies around the world that provides a deeper understanding of the interaction of a country’s economic status with the well-being of its population. Because each country, its citizens are unique, the results of subjective well-being research are country-specific and cannot be extended to other countries. The aspiration of the welfare state in Lithuania was started to emphasize recently. After Lithuania's accession to the European Union, Lithuania began to follow the example of more developed countries. Reducing income inequality became one of the most important tasks in ensuring prosperity, it led to more research on subjective well-being and income inequality. Although there are studies in the world examining the interaction between economic growth, income inequality and subjective well-being, there is a lack of similar studies analyzing Lithuania's indicators. Compared to other European Union countries, income inequality in Lithuania is one of the largest, and subjective well-being is below the EU average. Thus, this project seeks to elucidate how changes in Lithuania's economic growth and income inequality interact with changes in subjective well-being. Lithuania's economic growth is rapid since 2009, so the question is, how does it affect income inequality and the subjective well-being of lithuanian people? The object of this research is the interactions of economic growth, income inequality and subjective well-being in Lithuania in the period of 2009–2019. The aim is to determine how the change of Lithuania's income inequality, subjective well-being and economic growth was related in the period of 2009–2019. The tasks of the study are to examine the aspects of economic growth, income inequality, and subjective well-being; to compare Lithuania's economic growth, income inequality and subjective welfare indicators with other European countries; to determine how the change of Lithuania's income inequality, subjective well-being and economic growth was related in the period of 2009–2019. Methods of this research are analysis of scientific literature, legal documents and information sources, as well as quantitative analysis of international surveys and statistical data. The research results revealed that the economic growth in Lithuania in the periodo f 2009-2019 was accompanied by a volatile change in income inequality, and the subjective well-being of the population increased significantly during the same period. After a comparative analysis with the other European countries, it was established that Lithuania‘s economy grew faster during 2009–2019 than in many other EU countries. It was found that income inequality in Lithuania in 2009 and 2019 were among the highest compared to other EU countries. It was revealed that subjective well-being in Lithuania is lower than in many EU countries and lags behind the EU average. The study found that the consistent growth of GDP and life satisfaction recorded in Lithuania in the period of 2009-2019 indicates that in Lithuania there is a connection between economic development and the subjective well-being of the population. Correlation between decrease in income inequality and happiness growth occured during the periods of 2011–2013 and 2017–2019. During this research it was established that objective indicators of GDP growth correlated to a certain level and consistently with the subjective assessments of the country's economic situation. The results of the study revealed that in Lithuania in the period of 2009–2019, economic growth unequally affected income inequality and the subjective well-being of the population. However, the results obtained during the study show that in the period of 2009–2019, there was a certain significant and positive relationship between Lithuania's economic growth, changes in income inequality and changes in subjective well-being indicators. Project consists of summary in lithuanian and english, lists of tables and pictures, introduction, 3 parts, conclusion, lists of used literature and information sources. Project consists of 65 pages, 6 tables, 27 pictures. Used literature and information sources lists consist of 129 sources. |