2025 2(49) 4

Convergence of socio-economic development of regions and its impact on sustainable development of enterprises

Ivanova M. I.,
Doctor of Economics, Professor, 
ORCID https://orcid.org/0000-0002-1130-0186
е-mail: ma_riva@ukr.net;
Arkhypenko T. A.,
Doctor of Philosophy in Management, Associate Professor,
ORCID https://orcid.org/0000-0001-7422-6609
е-mail: tatka.av.vs@gmail.com
National Technical University “Dnipro Polytechnic”, Dnipro

Citation Format
Ivanova, M. I., & Arkhypenko, T. A. (2025). Convergence of socio-economic development of regions and its impact on sustainable development of enterprises. Vіsnyk ekonomіchnoі nauky Ukraіny, 2(49), 34-40. https://doi.org/10.37405/1729-7206.2025.2(49).34-40 

Language
 Ukrainian

Resume
The article examines the convergence of socio-economic development of the regions of Ukraine and its impact on the sustainable development of metallurgical enterprises. This study focuses on the consequences of deindustrialization due to the destruction of strategic industrial facilities in Eastern Ukraine after 2014, particularly emphasizing the period following 2022. This destruction has led to significant structural imbalances in industrial output, employment, and export potential. The authors posit that the attainment of regional development is contingent upon the capacity to adapt to novel economic realities, the attraction of investment, the integration into domestic and foreign markets, and the implementation of smart specialization principles. The present research aims to explore the possibilities of clustering metallurgical enterprises as an effective tool for ensuring socio-economic convergence in the context of sustainable development. The present study utilizes data from eight prominent Ukrainian metallurgical enterprises for 2019–2023, encompassing financial performance, human resources, and innovation-investment indicators. Applying hierarchical cluster analysis in IBM SPSS 23 enabled identifying four distinct groups of enterprises that demonstrated differences in financial stability, personnel potential, and innovative activity. The study’s findings demonstrate that the utilization of clustering methodologies facilitates the identification of both the similarities and differences between enterprises, thereby providing a foundation for developing regional policy measures. The findings indicate that enterprises with analogous financial or human resource characteristics may function as catalysts for socio-economic development, while others reveal risks of divergence. The study emphasizes the importance of innovation and investment as critical determinants of regional convergence. In this context, forming innovative economy models and innovation clusters is a promising mechanism for balancing regional disparities, enhancing competitiveness, and achieving sustainable development goals. The conclusions provide practical recommendations for policymakers and business managers and outline directions for further research on strategic frameworks of regional convergence in Ukraine.

Keywords
smart economy, management, innovation cluster, development strategy, analysis of financial and economic indicators, administration, decision-making, competitiveness.

Referensces

  1. Aksonova, I. (2024). Monitoring as a modern information support for analytics and enterprise management. Economy and Society, https://doi.org/10.32782/2524-0072/2024-62-122
  2. Arkhypenko, T., & Ivanova, M. (2025). Assessment of economic security of the enterprise as a basis for making effective management decisions on the basis of sustainable development. Economic Bulletin of Cherkasy State Technological University. Series: Economic Sciences, 26/74(1), 124–133. https://doi.org/10.24025/2306-4420.1(74).2025.326315 [in Ukrainian].
  3. Verstiak, A., & Verstiak, O. (2023). Socio-economic convergence of regions in Ukraine. Infrastruktura rynku, 72, 8–13. https://doi.org/10.32782/infrastruct72-2 [in Ukrainian].
  4. Zinchuk, T., & Levkivskyi, Ye. (2020). Convergence of agro-business structures in the new model of globalization economy. Innovative Economy, 7–8, 5–13. https://doi.org/10.37332/2309-1533.2020.7-8.1 [in Ukrainian].
  5. Hlushchenko, A. (2024). How the Ukrainian steel industry passed the test of strength in 2023. GMK Center. https://gmk.center/ua/posts/yak-ukrainska-metalurgiya-projshla-viprobovuvannya-na-micnist-u-2023-roci/
  6. Paryzkyi, I. (2021). Evolution of the impact of regional growth factors on the development of Ukraine. Naukovi zapysky Lvivskoho universytetu biznesu ta prava. Seriia ekonomichna. Seriia yurydychna. 29, 219–229. http://dx.doi.org/10.5281/zenodo.5744351 [in Ukrainian].
  7. Transparent analytics – Clarity (n.d.). Clarity Project. Retrieved September 26, 2025, from https://clarity-project.info
  8. Pistunov, I., Antoniuk, O., & Turchaninova, I. (2008). Cluster analysis in economics: Textbook. Dnipropetrovsk: National Mining University. [in Ukrainian].
  9. Yakusheva, O., & Pavlovska, A. (2022). Evolution of convergence theory in the context of integration of the socio-economic system of regions. Economic Bulletin of Cherkasy State Technological University. Series: Economic Sciences, 64, 14–26. https://doi.org/10.24025/2306-4420.64.2022.255806 [in Ukrainian].
  10. Andriyani, Y., Yohanitas, W., & Kartika, R. (2024). Adaptive innovation model design: Integrating agile and open innovation in regional areas innovation. Journal of Open Innovation: Technology, Market, and Complexity, 10 (1), 100197. https://doi.org/10.1016/j.joitmc.2023.100197
  11. Ciacci, A., & Enrico, I. (2023). Smart sustainable cities and knowledge-based economy for people, workers, and enterprises: Mutually reinforcing dynamics. In Smart sustainable cities and knowledge-based economy: Policy implications (pp. 19–51). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-25038-5_2
  12. Xiao, H., Cui, X., Sarker, M., & Firdaus, R. (2023). Impact of industry-university-research collaboration and convergence on economic development: Evidence from Chengdu-Chongqing economic circle in China. Heliyon, 9 (11), e21082. https://doi.org/10.1016/j.heliyon.2023.e21082

Full Text (.pdf)

Received: 08.10.2025
Accepted: 10.11.2025
Published: 29.12.2025