Gross regional product in Ukraine: two-dimensional analysis of regularities and territorial features
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- Category: Content №1 2024
- Last Updated on 29 February 2024
- Published on 30 November -0001
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Authors:
О.І.Babchynska*, orcid.org/0000-0001-6377-6242, Vinnytsia Institute of Trade and Economics of State University of Trade and Economics, Vinnytsia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.H.Vagonova, orcid.org/0000-0001-6553-7771, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V.M.Nyzhnyk, orcid.org/0000-0002-8624-6444, Khmelnytskyi National University, Khmelnytskyi, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.A.Posvalyuk, orcid.org/0009-0004-8153-7471, Khmelnytskyi National University, Khmelnytskyi, Ukraine, e-mail: olchik This email address is being protected from spambots. You need JavaScript enabled to view it.
O.M.Lozovskyi, orcid.org/0000-0002-9979-6832, Vinnytsia Institute of Trade and Economics of State University of Trade and Economics, Vinnytsia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (1): 175 - 184
https://doi.org/10.33271/nvngu/2024-1/175
Abstract:
Purpose. Carrying out an analysis of panel data on individual indicators of the development of the regions of Ukraine in general and their aggregates, distinguished by territorial location and profitability in order to establish the main regularities and specific features of changes in their gross regional product.
Methodology. On the basis of a sample of statistical indicators of the socio-economic development of the regions of Ukraine for the period from the beginning of the Russian-Ukrainian war (2014) to the full-scale invasion, the authors created panel series of data with the separation of regional groups according to territorial and income criteria. For each group panel series of data, random effects regression models were built in order to determine the presence of regularities and specific features of regional development in different groups.
Findings. An analysis of scientific developments and practical results in the issue of determining the key factors of the formation of the gross regional product was carried out. Given the uncertainty in views on the key factors of regional development, an attempt was made to determine them using a two-dimensional analysis of panel data. For this purpose, a sample of statistical information on the main indicators of socio-economic development of each of the regions of Ukraine was formed and their grouping was carried out according to two criteria: territorial location and profitability according to the indicator of the gross regional product per capita. In general, five groups of oblasts were formed based on territorial characteristics and four groups of oblasts based on income characteristics, and a panel regression model was constructed for each of these groups, including the total set of regional panel data. The received specifications of the models made it possible to form a list of key regularities in the formation of the gross regional product in Ukraine, as well as to determine specific factors of influence on the resulting indicator for each of the groups of oblasts.
Originality. On the basis of the given approach to the panel analysis of factors of regional development and, in particular, the formation of the gross regional product, based on a combination of statistical methods for grouping (clustering) regions according to various criteria and panel regression models, the hypothesis regarding the presence of common regularities of regional development in certain groups of oblasts of Ukraine was confirmed. The key factors and specific features of changes in the indicator of the gross regional product in Ukraine in general and in individual regional clusters are determined.
Practical value. The possibility of practical use of the obtained results as key risk factors in the process of forming plans for the economic development of individual oblasts in the long term, as well as the application of the proposed approach to the study on key factors of the formation of other indicators of regional development.
Keywords: gross regional product, analysis of panel data, factors of regional development
References.
1. Strategy of sustainable development of Ukraine until 2030 (2017). UNDP Ukraine. Retrieved from https://www.undp.org/sites/g/files/zskgke326/files/migration/ua/UNDP_Strategy_v06-optimized.pdf.
2. Vectors of economic development of Ukraine 2030 (2021). Kyiv: Kabinet Ministriv Ukrainy. Retrieved from https://nes2030.org.ua/docs/doc-vector.pdf.
3. UNDP Resilience and Recovery Programme: Responding to the War in Ukraine (2022). Retrieved from https://www.undp.org/uk/ukraine/prohrama-proon-iz-pidvyshchennya-stiykosti-ta-vidnovlennya.
4. Anselin, L. (2013). Spatial econometrics: methods and models. Dordrecht: Springer, Science and Business Media. ISBN: 978-90-481-8311-1.
5. Baltagi, B. H. (2010). Econometric analysis of panel data. New York: John Wiley & Sons Inc. ISBN: 0-470-01456-3.
6. Hanck, C., Arnold, M., Gerber, A., & Schmelzer, M. (2020). Introduction to Econometrics with R. Essen. Duisburg-Essen. Retrieved from https://www.econometrics-with-r.org/index.html.
7. Garrat, A., Lee, K., Pesaran, M., & Shin, Y. (2011). Global and National Macroeconometric Modelling. A long Run Structural Approach. Oxford: University Pres. ISBN: 978-0199296859.
8. Elhorst, J. P. (2010). Specification and estimation of spatial panel data models. International Regional Science Review, 26(3), 244-268. https://doi.org/10.1177/0160017603253791.
9. Petersen, T. (2014). Analyzing Panel Data: Fixed- and Random-Effects Models: Handbook of Data Analysis. Sage publications, Ltd., Retrieved from: https://sk.sagepub.com/reference/handbook-of-data-analysis.
10. Townsend, Z., Buckley, J., Harada, M., & Scott, M. (2015). The Choice between Fixed and Random Effects. In The SAGE Handbook of Multilevel Modeling, (pp.73-88). Retrieved from http://agfda.userweb.mwn.de/ALD_2015/downloads /Uebung2/Townsend_et_al_2013.pdf.
11. Oliskevych, M. O. (2015). Econometric modeling of dynamic processes of labor market development in Ukraine: monograph. Lviv: LNU imeni Ivana Franka. ISBN: 978-617-10-0235-7.
12. Raievnieva, O. V., & Bobkova, O. Yu. (2012). Determination of the sources of uneven development of the regions of Ukraine based on the decomposition of the Teil index. Aktualni problemy ekonomiky, 2(128), 200-210.
13. Matviishyn, Ye. H. (2012). Application of the demographic forecasting model to regulate the labor market in the region. Efektyvnist derzhavnoho upravlinnia, 33, 302-311.
14. Turskyi, I. V. (2017). Modeling the dependence of the gross regional product on the development of entrepreneurship in the regions of Ukraine. Naukovyi Visnyk Khersonskoho Derzhavnoho Universytetu, 25(2), 77-81.
15. Riadno, O. A., & Berkut, O. V. (2017). Econometric modeling of gross regional product formation based on panel data. Naukovyi Visnyk Mizhnarodnoho Humanitarnoho Universytetu, 27, 67-71.
16. Novikov, D. A. (2014). Economic-mathematical modeling of the influence of indicators-factors of labor potential on the gross regional product of industrial regions of Ukraine. Visnyk Ekonomiky Transportu i Promyslovosti, 47, 19-23.
17. Bril, M. (2020). Methodology of forming a balanced system of indicators of regional differentiation. BiznesInform, 4, 133-142.
18. Hryniv, V. (2021). Assessment of the potential of socio-economic development of regions. Ukrainskyi zhurnal prykladnoi ekonomiky ta tekhniky, 6(4), 147-152.
19. Holovachov, V. V. (2022). Mathematical modeling of regional development. Zbirnyk naukovykh prats’ UkrDUZT, 202, 48-61.
20. Derzhavna sluzhba statystyky Ukrainy (n.d.). Regions of Ukraine: statistical collections for 2014–2021. Retrieved from https://ukrstat.gov.ua/druk/publicat/kat_u/publ2_u.htm.
21. Scott, D. W. (2010). Sturges’ rule. Wiley Interdisciplinary Reviews: Computational Statistics, 1(3), 303-306.
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