APPLICATION OF CLUSTER ANALYSIS TO STUDY THE SOCIOECONOMIC SITUATION OF EASTERN EUROPEAN COUNTRIES
The article considers issues related to the assessment of the socio-economic situation of Ukraine and 12 countries that are its close neighbors in the Eastern European region. It is established that today Ukraine is in a severe socio-economic crisis, which covers all spheres of society and affect...
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Format: | Article |
Language: | English |
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Alfred Nobel University Publisher
2021-06-01
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Series: | Êvropejsʹkij Vektor Ekonomìčnogo Rozvitku |
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Online Access: | https://eurodev.duan.edu.ua/images/PDF/2021/1/9.pdf |
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Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sofiia R. Ladyk Kseniia F. Bazilyuk |
spellingShingle |
Sofiia R. Ladyk Kseniia F. Bazilyuk APPLICATION OF CLUSTER ANALYSIS TO STUDY THE SOCIOECONOMIC SITUATION OF EASTERN EUROPEAN COUNTRIES Êvropejsʹkij Vektor Ekonomìčnogo Rozvitku socio-economic situation human potential inflation unemployment corruption gdp cluster analysis dendrogram |
author_facet |
Sofiia R. Ladyk Kseniia F. Bazilyuk |
author_sort |
Sofiia R. Ladyk |
title |
APPLICATION OF CLUSTER ANALYSIS TO STUDY THE SOCIOECONOMIC SITUATION OF EASTERN EUROPEAN COUNTRIES |
title_short |
APPLICATION OF CLUSTER ANALYSIS TO STUDY THE SOCIOECONOMIC SITUATION OF EASTERN EUROPEAN COUNTRIES |
title_full |
APPLICATION OF CLUSTER ANALYSIS TO STUDY THE SOCIOECONOMIC SITUATION OF EASTERN EUROPEAN COUNTRIES |
title_fullStr |
APPLICATION OF CLUSTER ANALYSIS TO STUDY THE SOCIOECONOMIC SITUATION OF EASTERN EUROPEAN COUNTRIES |
title_full_unstemmed |
APPLICATION OF CLUSTER ANALYSIS TO STUDY THE SOCIOECONOMIC SITUATION OF EASTERN EUROPEAN COUNTRIES |
title_sort |
application of cluster analysis to study the socioeconomic situation of eastern european countries |
publisher |
Alfred Nobel University Publisher |
series |
Êvropejsʹkij Vektor Ekonomìčnogo Rozvitku |
issn |
2074-5362 |
publishDate |
2021-06-01 |
description |
The article considers issues related to the assessment of the socio-economic situation
of Ukraine and 12 countries that are its close neighbors in the Eastern European region. It is
established that today Ukraine is in a severe socio-economic crisis, which covers all spheres
of society and affects the economic and political aspects of the entire Eastern European region.
The deepening of the crisis in Ukraine is observed in all areas: the curtailment of production,
declining employment, falling incomes and demand. With the deepening recession and budget
crisis, it is difficult to carry out the necessary reforms of the Ukrainian state and economy,
while the living standards of the majority of the population continue to fall, unemployment
and inflation are rising.
The socio-economic potential of Ukraine and selected countries of Eastern Europe in
the context of those indicators that directly relate to the social status of the population is
studied. Using the World Bank statistics for 2019, the following indicators were analyzed:
GDP per capita, unemployment rate (% of total labor force), inflation rate (%) and corruption
index. The study found that Ukraine lags significantly behind its neighbors in macroeconomic
indicators. Analysis of the data of the State Statistics Service shows that in Ukraine there is a
deindustrialization of the economy and a decline in industrial production. At the same time,
there is a decline in the science intensity of the economy in many sectors of the industrial
complex (engineering, chemical, energy), which has significantly led to rising unemployment.
Indicators such as low life expectancy at birth, high inflation and corruption also indicate a
difficult socio-economic situation. It is established that the illustrated tendencies are largely
due, on the one hand, to the unsuccessful institutional policy of the Government of Ukraine,
and on the other hand – to corruption and domination of oligarchs in the leading sectors of the
economy.
In order to classify the countries of Eastern Europe and identify among them the place
of Ukraine in the context of selected characteristics of the socio-economic situation, cluster
analysis was used, in particular the hierarchical method of Ward. As a result of using this
method, a dendrogram was obtained, the visual analysis of which allows to form 4 clusters. The
K-means method was used to form clusters. Based on the analysis of the constructed clusters,
it was found that the highest rating in the selected indicators have the countries included in the
3rd cluster: Estonia, Poland and the Czech Republic, which are characterized by high welfare,
low unemployment and corruption. Countries in the 2nd cluster have a slightly lower rating:
Belarus, Bulgaria, Moldova, the Russian Federation, Romania and Hungary. These countries
are characterized by a high level of corruption and a fairly high level of inflation, the rest of the
indicators in this group are average. The 1st cluster includes: Latvia, Lithuania and the Slovak
Republic, which have a high level of welfare, low levels of corruption and inflation, but at the
same time high unemployment (average value – 6.1%). The lowest rating is given to Ukraine,
which is characterized by falling incomes, high unemployment, inflation and corruption.
The study proves the need for urgent effective reforms and systemic transformations in
Ukraine, which will promote the rational use of its own investment potential, improve the level
of management and investment policy, as well as lobby for national economic interests and
create conditions for economic and institutional stability |
topic |
socio-economic situation human potential inflation unemployment corruption gdp cluster analysis dendrogram |
url |
https://eurodev.duan.edu.ua/images/PDF/2021/1/9.pdf |
work_keys_str_mv |
AT sofiiarladyk applicationofclusteranalysistostudythesocioeconomicsituationofeasterneuropeancountries AT kseniiafbazilyuk applicationofclusteranalysistostudythesocioeconomicsituationofeasterneuropeancountries |
_version_ |
1721205880590958592 |
spelling |
doaj-7537a35cef97471683d74376e79eac592021-08-16T10:16:46ZengAlfred Nobel University PublisherÊvropejsʹkij Vektor Ekonomìčnogo Rozvitku2074-53622021-06-01130778810.32342/2074-5362-2021-1-30-7APPLICATION OF CLUSTER ANALYSIS TO STUDY THE SOCIOECONOMIC SITUATION OF EASTERN EUROPEAN COUNTRIESSofiia R. Ladyk0Kseniia F. Bazilyuk1Lviv National University named after I. Franko (Ukraine)Lviv Polytechnic National University (Ukraine)The article considers issues related to the assessment of the socio-economic situation of Ukraine and 12 countries that are its close neighbors in the Eastern European region. It is established that today Ukraine is in a severe socio-economic crisis, which covers all spheres of society and affects the economic and political aspects of the entire Eastern European region. The deepening of the crisis in Ukraine is observed in all areas: the curtailment of production, declining employment, falling incomes and demand. With the deepening recession and budget crisis, it is difficult to carry out the necessary reforms of the Ukrainian state and economy, while the living standards of the majority of the population continue to fall, unemployment and inflation are rising. The socio-economic potential of Ukraine and selected countries of Eastern Europe in the context of those indicators that directly relate to the social status of the population is studied. Using the World Bank statistics for 2019, the following indicators were analyzed: GDP per capita, unemployment rate (% of total labor force), inflation rate (%) and corruption index. The study found that Ukraine lags significantly behind its neighbors in macroeconomic indicators. Analysis of the data of the State Statistics Service shows that in Ukraine there is a deindustrialization of the economy and a decline in industrial production. At the same time, there is a decline in the science intensity of the economy in many sectors of the industrial complex (engineering, chemical, energy), which has significantly led to rising unemployment. Indicators such as low life expectancy at birth, high inflation and corruption also indicate a difficult socio-economic situation. It is established that the illustrated tendencies are largely due, on the one hand, to the unsuccessful institutional policy of the Government of Ukraine, and on the other hand – to corruption and domination of oligarchs in the leading sectors of the economy. In order to classify the countries of Eastern Europe and identify among them the place of Ukraine in the context of selected characteristics of the socio-economic situation, cluster analysis was used, in particular the hierarchical method of Ward. As a result of using this method, a dendrogram was obtained, the visual analysis of which allows to form 4 clusters. The K-means method was used to form clusters. Based on the analysis of the constructed clusters, it was found that the highest rating in the selected indicators have the countries included in the 3rd cluster: Estonia, Poland and the Czech Republic, which are characterized by high welfare, low unemployment and corruption. Countries in the 2nd cluster have a slightly lower rating: Belarus, Bulgaria, Moldova, the Russian Federation, Romania and Hungary. These countries are characterized by a high level of corruption and a fairly high level of inflation, the rest of the indicators in this group are average. The 1st cluster includes: Latvia, Lithuania and the Slovak Republic, which have a high level of welfare, low levels of corruption and inflation, but at the same time high unemployment (average value – 6.1%). The lowest rating is given to Ukraine, which is characterized by falling incomes, high unemployment, inflation and corruption. The study proves the need for urgent effective reforms and systemic transformations in Ukraine, which will promote the rational use of its own investment potential, improve the level of management and investment policy, as well as lobby for national economic interests and create conditions for economic and institutional stabilityhttps://eurodev.duan.edu.ua/images/PDF/2021/1/9.pdfsocio-economic situationhuman potentialinflationunemploymentcorruptiongdpcluster analysisdendrogram |