Assessing the regional labor market by using data mining methods: ways of effective functioning

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dc.contributor.authorFedulova S., Harmider L., Bartashevska Yu., Komirna V.
dc.date.accessioned2025-03-16T23:00:48Z
dc.date.available2025-03-16T23:00:48Z
dc.date.issued2022
dc.description.abstractAs a result of the uneven development of certain territories, it is more feasible and effective to tackle the practical issues of labor market regulation at the regional level. This ensures sufficient regulation of the system. Since it is necessary to properly account for the regional differences in practice, it is required that these issues should be methodologically justified. Therefore, the aim of this paper is to investigate regional labor markets based on the indexes of the socio-economic development of the regions using a data mining method. The current study has clustered the regions of this country based on their level of socio-economic development using Data Mining methods, by applying Kohonen maps and the k-means methods. Based on the research results, it has been proven that the indices of the gross regional product, wages, and investments are crucial for clustering the regions of Ukraine in terms of labor market development. In our opinion, the evaluation of the regional labor market in terms of socio-economic development shows the dominance of extensive factors in the development of most regions in Ukraine. Based on the construction of a broad comprehensive typology of regional labor markets, we propose the identification of the priority areas for their regulation, whose application is most effective for a specific group of the examined labor markets. It has been proposed that the priority measures are to attract investments by entities and people; to organize special types of work (public works); to develop self-employment and small businesses, including the legalization of the unregistered shadow employment of economically active population; to intensify and expand professional training and retraining of unemployed people for new occupations; to build an effective system to monitor labor market. Studying the regional labor markets by using intelligent data mining methods allows us to generalize the main proposals and recommendations related to the regulation of regional labor markets.
dc.identifier.citationFedulova S., Harmider L., Bartashevska Yu., Komirna V. Assessing the regional labor market by using data mining methods: ways of effective functioning // Академічний огляд. Науковий журнал. 2022. № 2 (57). P. 36-49.
dc.identifier.other10.32342/2074-5354-2022-2-57-3
dc.identifier.urihttps://ir.duan.edu.ua/handle/123456789/5933
dc.language.isoen
dc.publisherАкадемічний огляд
dc.relation.ispartofseries№ 2 (57).
dc.subjectlabor market
dc.subjectregion
dc.subjectdata mining methods
dc.subjectindicators
dc.subjectsocio-economic development
dc.titleAssessing the regional labor market by using data mining methods: ways of effective functioning
dc.typeArticle

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