Identifying patterns and impact of clusters on employment in regions

The article is devoted to the study of employment in the regions of the Republic of Belarus using cluster analysis. Employment in the regions of Belarus and Minsk is closely related to factors of economic development, demographic indicators, education level, etc., therefore, to study patterns in the level of employment by region and the influence of factors on the labour activity of the population. To identify similar indicators in the regions, methods and procedures of applied statistical analysis were used, the implementation of which used the apparatus and capabilities of the statistical package IBM SPSS Statistics (ver. 21, 26). Data processing was carried out in dynamics from 2010 to 2022 on 24 indicators related to the quantitative component – employment of the population in the regions. The clustering of certain groups of indicators affecting employment in the regions reflects similar trends, and the results of the study can form the basis for forecasting the balance of processes in the labour market and the improvement of the regional economy.

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Publication Details

Journal
Экономическая наука сегодня
Published
2024-11-14
DOI
https://doi.org/10.21122/2309-6667-2024-20-89-96
Primary Topic
Regional Development and Policy
Type
article
Field-Weighted Citation Impact
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article

Identifying patterns and impact of clusters on employment in regions

Nadezhda S. Morozova
Экономическая наука сегодня
Regional Development and Policy
article

Identifying patterns and impact of clusters on employment in regions

Nadezhda S. Morozova
article en

Abstract

The article is devoted to the study of employment in the regions of the Republic of Belarus using cluster analysis. Employment in the regions of Belarus and Minsk is closely related to factors of economic development, demographic indicators, education level, etc., therefore, to study patterns in the level of employment by region and the influence of factors on the labour activity of the population. To identify similar indicators in the regions, methods and procedures of applied statistical analysis were used, the implementation of which used the apparatus and capabilities of the statistical package IBM SPSS Statistics (ver. 21, 26). Data processing was carried out in dynamics from 2010 to 2022 on 24 indicators related to the quantitative component – employment of the population in the regions. The clustering of certain groups of indicators affecting employment in the regions reflects similar trends, and the results of the study can form the basis for forecasting the balance of processes in the labour market and the improvement of the regional economy.

Экономическая наука сегодня(20)
The Institute of History of the National Academy of Sciences of Belarus (BY)
Openalex Percentile: Top 52%
Regional Development and Policy
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