Regional Income Inequality in Lithuania
The problem of income inequality is globally relevant, receiving the attention of both scientists and pol- iticians. Lithuania as a small country has made significant progress in approaching the standard of liv- ing in Western Europe. However, there are still differences in economic...
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Format: | Article |
Language: | English |
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Russian Academy of Sciences, Institute of Economics of the Ural Branch
2020-12-01
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Series: | Экономика региона |
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Online Access: | https://www.economyofregion.com/data/jarticles/3322.pdf |
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author | Daiva Laskiene Irena Pekarskiene Rima Kontautiene |
author_facet | Daiva Laskiene Irena Pekarskiene Rima Kontautiene |
author_sort | Daiva Laskiene |
collection | DOAJ |
description | The problem of income inequality is globally relevant, receiving the attention of both scientists and pol-
iticians. Lithuania as a small country has made significant progress in approaching the standard of liv-
ing in Western Europe. However, there are still differences in economic growth between separate popula-
tion groups. Thus, the problem of income inequality remains very acute. Currently, researchers are widely
discussing the risk of income inequality to the country’s society by analysing its causes and proposing var-
ious solutions. Although scientific debates address income inequality across regions, such studies are often
limited to examples of large countries. Meanwhile, there is a lack of studies on regional income inequality
in small countries, so the question of whether a small country is characterised by regional income inequal-
ity remains open. This research aims to examine the level of regional income inequality in Lithuania. We hy-
pothesised that Lithuania has a high level of regional income inequality and this is one of the causes of the
high income inequality in the whole country. To estimate regional income inequality, we used the most com-
mon measures: Gini coefficient, decile ratio, and the coefficient of variation. The analysis was performed at
level 3 of the Nomenclature of Territorial Units for Statistics (NUTS), according to which Lithuania is divided
into 10 administrative counties. For this research, we chose the indicators illustrating income per capita on
various levels, i.e., gross domestic product (GDP) per capita, average disposable household income per cap-
ita, and gross hourly wages, as the various types of income can be used. For the estimation of GDP per cap-
ita and average disposable household income, we analysed the data provided by the Lithuanian Department
of Statistics (Statistics Lithuania) for 2014–2017. Due to a lack of data to estimate gross hourly wages, we
examined the statistical data from the Lithuanian Department of Statistics for 2014. The results show that
the hypothesis has not been confirmed. According to the research results, there is a small distribution of in-
come between different regions of a small economy, although the level of economic development of different
regions differs. The study findings are important not only from an academic perspective for identifying the
causes of income inequality and raising questions for further research, but also for regional economic policy
makers. The obtained results show that decisions related to a more equal distribution of income in Lithuania
as a small country are determined not only by the specificity of its regions but also by the general trends of
the country. |
first_indexed | 2024-03-12T10:22:11Z |
format | Article |
id | doaj.art-ead1f91f993d444fba91c774102c410d |
institution | Directory Open Access Journal |
issn | 2072-6414 2411-1406 |
language | English |
last_indexed | 2024-03-12T10:22:11Z |
publishDate | 2020-12-01 |
publisher | Russian Academy of Sciences, Institute of Economics of the Ural Branch |
record_format | Article |
series | Экономика региона |
spelling | doaj.art-ead1f91f993d444fba91c774102c410d2023-09-02T10:02:22ZengRussian Academy of Sciences, Institute of Economics of the Ural BranchЭкономика региона2072-64142411-14062020-12-0116411041114https://doi.org/10.17059/ekon.reg.2020-4-7Regional Income Inequality in LithuaniaDaiva Laskiene0Irena Pekarskiene1Rima Kontautiene2Kaunas University of TechnologyKaunas University of TechnologyKaunas University of TechnologyThe problem of income inequality is globally relevant, receiving the attention of both scientists and pol- iticians. Lithuania as a small country has made significant progress in approaching the standard of liv- ing in Western Europe. However, there are still differences in economic growth between separate popula- tion groups. Thus, the problem of income inequality remains very acute. Currently, researchers are widely discussing the risk of income inequality to the country’s society by analysing its causes and proposing var- ious solutions. Although scientific debates address income inequality across regions, such studies are often limited to examples of large countries. Meanwhile, there is a lack of studies on regional income inequality in small countries, so the question of whether a small country is characterised by regional income inequal- ity remains open. This research aims to examine the level of regional income inequality in Lithuania. We hy- pothesised that Lithuania has a high level of regional income inequality and this is one of the causes of the high income inequality in the whole country. To estimate regional income inequality, we used the most com- mon measures: Gini coefficient, decile ratio, and the coefficient of variation. The analysis was performed at level 3 of the Nomenclature of Territorial Units for Statistics (NUTS), according to which Lithuania is divided into 10 administrative counties. For this research, we chose the indicators illustrating income per capita on various levels, i.e., gross domestic product (GDP) per capita, average disposable household income per cap- ita, and gross hourly wages, as the various types of income can be used. For the estimation of GDP per cap- ita and average disposable household income, we analysed the data provided by the Lithuanian Department of Statistics (Statistics Lithuania) for 2014–2017. Due to a lack of data to estimate gross hourly wages, we examined the statistical data from the Lithuanian Department of Statistics for 2014. The results show that the hypothesis has not been confirmed. According to the research results, there is a small distribution of in- come between different regions of a small economy, although the level of economic development of different regions differs. The study findings are important not only from an academic perspective for identifying the causes of income inequality and raising questions for further research, but also for regional economic policy makers. The obtained results show that decisions related to a more equal distribution of income in Lithuania as a small country are determined not only by the specificity of its regions but also by the general trends of the country.https://www.economyofregion.com/data/jarticles/3322.pdfgini coefficientdecile ratiolorenz curvecoefficient of variationincome inequalitygdp per capitaaverage disposable household income per capitagross hourly wagesadministrative countieslithuanian regions |
spellingShingle | Daiva Laskiene Irena Pekarskiene Rima Kontautiene Regional Income Inequality in Lithuania Экономика региона gini coefficient decile ratio lorenz curve coefficient of variation income inequality gdp per capita average disposable household income per capita gross hourly wages administrative counties lithuanian regions |
title | Regional Income Inequality in Lithuania |
title_full | Regional Income Inequality in Lithuania |
title_fullStr | Regional Income Inequality in Lithuania |
title_full_unstemmed | Regional Income Inequality in Lithuania |
title_short | Regional Income Inequality in Lithuania |
title_sort | regional income inequality in lithuania |
topic | gini coefficient decile ratio lorenz curve coefficient of variation income inequality gdp per capita average disposable household income per capita gross hourly wages administrative counties lithuanian regions |
url | https://www.economyofregion.com/data/jarticles/3322.pdf |
work_keys_str_mv | AT daivalaskiene regionalincomeinequalityinlithuania AT irenapekarskiene regionalincomeinequalityinlithuania AT rimakontautiene regionalincomeinequalityinlithuania |