e-ISSN 2518-1181
DOI 10.33146/2518-1181
Online Media ID R40-06293
← Back Published: 10.06.2025

Econometric Analysis of Determinants of Competitiveness of Territorial Communities of the Black Sea Economic Region

Authors

Genadiy Nikolenko Uman National University, Uman, Ukraine ORCID 0009-0000-9316-866X

DOI:

https://doi.org/10.33146/2307-9878-2025-2(108)-164-173

Abstract

Assessing the competitiveness of territorial communities is an essential tool for effectively planning and implementing post-war reconstruction programs in Ukraine. The article aims to identify the determinants of the competitiveness of territorial communities of the Black Sea Economic Region using econometric modelling and statistical data for 2004–2023. The research methodology is based on conducting a correlation analysis and applying the least squares method to construct a regression model, with verification of the statistical significance of the coefficients. The gross regional product is used as a dependent variable, while twelve independent factors characterizing demographic, economic, social, infrastructural, and ecological aspects of development were employed as explanatory variables. The strongest correlations were identified with population size (0.967) and labour force (0.935), confirming the central role of human capital in regional competitiveness formation. The constructed regression model demonstrates high statistical significance (R²=0.998, F-criterion 2037.88) and reveals that 99.82% of gross regional product variation is explained by the included variables. The population demonstrates the strongest positive impact, with a coefficient of 0.218, indicating that a one-thousand-person increase in population leads to a gross regional product growth of 218 thousand UAH. Available income shows a positive influence (coefficient 0.0001), while export volume positively affects competitiveness (coefficient 0.0038). However, maritime freight transportation volume demonstrates a negative coefficient (-0.0017), reflecting structural economic changes and modernization needs of traditional infrastructure systems. The paradoxical negative correlation between available income and gross regional product (-0.473) may indicate inflationary processes and structural imbalances in the Black Sea Economic Region. The analysis confirms the necessity of a comprehensive approach to territorial communities’ competitiveness assessment through several factor blocks: economic, social, infrastructural, ecological, innovation, institutional, and region-specific factors. The empirical results substantiate the development of an integrated methodology for competitiveness evaluation that accounts for the unique characteristics of the Black Sea Region, including its coastal location, international trade role, and multi-ethnic population composition.

Keywords

competitiveness, correlation-regression analysis, Black Sea Economic Region, territorial communities, factor analysis, economic modelling
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