Economy and creativity multiparametric clustering
This paper suggests a way to cluster Ukrainian regions by using economy and creativity-related multiparametric sets so as to reveal the main roles of players in cross-regional comparisons. Special attention was paid to an analysis of invaded regions since 2014 and 2022. The methodology is based on...
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Format: | Article |
Language: | English |
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ERSA
2023-05-01
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Series: | REGION |
Online Access: | https://openjournals.wu.ac.at/ojs/index.php/region/article/view/382 |
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author | Svitlana Slava |
author_facet | Svitlana Slava |
author_sort | Svitlana Slava |
collection | DOAJ |
description |
This paper suggests a way to cluster Ukrainian regions by using economy and creativity-related multiparametric sets so as to reveal the main roles of players in cross-regional comparisons. Special attention was paid to an analysis of invaded regions since 2014 and 2022. The methodology is based on a consistent utilisation of structured analysis, correlation, regression and clustering modelling. Sets of parameters were selected from secondary data via correlation and regression analyses aimed at defining the most impactful factors. The study sample includes 25 regions in Ukraine. The research results contribute mainly to the theorisation of comparative regional analysis and to the relationship between the economy and creativity and their specific behaviour in regions directly linked to war crisis.
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first_indexed | 2024-03-13T08:04:42Z |
format | Article |
id | doaj.art-e507bb1bf7f84a91981e62c1c9b457e6 |
institution | Directory Open Access Journal |
issn | 2409-5370 |
language | English |
last_indexed | 2024-03-13T08:04:42Z |
publishDate | 2023-05-01 |
publisher | ERSA |
record_format | Article |
series | REGION |
spelling | doaj.art-e507bb1bf7f84a91981e62c1c9b457e62023-06-01T09:09:44ZengERSAREGION2409-53702023-05-0110110.18335/region.v10i1.382Economy and creativity multiparametric clusteringSvitlana Slava0Uzhhorod National Univeristy This paper suggests a way to cluster Ukrainian regions by using economy and creativity-related multiparametric sets so as to reveal the main roles of players in cross-regional comparisons. Special attention was paid to an analysis of invaded regions since 2014 and 2022. The methodology is based on a consistent utilisation of structured analysis, correlation, regression and clustering modelling. Sets of parameters were selected from secondary data via correlation and regression analyses aimed at defining the most impactful factors. The study sample includes 25 regions in Ukraine. The research results contribute mainly to the theorisation of comparative regional analysis and to the relationship between the economy and creativity and their specific behaviour in regions directly linked to war crisis. https://openjournals.wu.ac.at/ojs/index.php/region/article/view/382 |
spellingShingle | Svitlana Slava Economy and creativity multiparametric clustering REGION |
title | Economy and creativity multiparametric clustering |
title_full | Economy and creativity multiparametric clustering |
title_fullStr | Economy and creativity multiparametric clustering |
title_full_unstemmed | Economy and creativity multiparametric clustering |
title_short | Economy and creativity multiparametric clustering |
title_sort | economy and creativity multiparametric clustering |
url | https://openjournals.wu.ac.at/ojs/index.php/region/article/view/382 |
work_keys_str_mv | AT svitlanaslava economyandcreativitymultiparametricclustering |