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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Main Author: Svitlana Slava
Format: Article
Language:English
Published: ERSA 2023-05-01
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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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