REGULATION OF DYNAMIC PROCESSES IN THE INDICATORS OF DISPROPORTIONS OF UKRAINIAN REGIONS: OPERATIONAL AND LOGISTIC APPROACH
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
Indicators of socio-economic development of the regions of Ukraine demonstrate a tendency to increase disproportions, which are significantly intensified in the conditions of military operations. In addition to the deterioration of performance indicators, this trend leads to the fragmentation of the country's economic space. Regulation of regional development does not contribute to the reduction of disparities, in particular, due to shortcomings in the assessment, interpretation of indicators of disparities and modeling of their dynamics, which leads to the definition of unrealistic goals of regulation. Taking into account the need to ensure the connection between short-term and long-term planning of regional development, the purpose of the article is to develop theoretical and empirical foundations aimed at regulating dynamic processes in the indicators of regional development disproportions. To achieve the goal, the following tasks were chosen: to analyze the models of convergent-divergent processes of regional development imbalances, to build models of long-term interaction of indicators of imbalances in the spheres of life, to determine the basis for assessing the crisis dynamics of regional indicators. Methodology. To regulate the development of regions, a model of long-term interaction of indicators of disproportions in various spheres has been developed. The process component of the study of dynamic processes in the indicators of regional disproportions and forecasting of crisis situations in the spheres of regional activity, which covers the tasks, tools and main results of the study, has been formed. The paper investigates the long-run interaction of inequality indicators in different areas using econometric dynamic vector autoregressive and error correction models (VAR&ECM). This makes it possible to identify and predict non-stationary impulse processes in general, to identify trends relevant to individual phases of activity, to identify the relationship and interdependence of the trajectory of imbalances. The research tools are designed to solve a set of tasks on the regulation of imbalances. The originality of the article lies in the application of the modeling results in the form of interrelationships of disproportions for different time intervals in the formation of a set of programs and preventive measures to manage regional development disproportions. This also enhances the practical significance of the study. Practical implication. The data obtained as a result of the study of the dynamic processes of disproportion indicators can be taken into account in solving a set of tasks to regulate the disproportions of regional development, developing a set of measures for the implementation of regional strategies, financial and budgetary regulation of regional development, determining budget expenditures for solving problems arising from disproportions.
How to Cite
##plugins.themes.bootstrap3.article.details##
regional economy, regional economy disparities, econometric modeling, operational-logistics approach, regional development regulation, financial and budgetary relations
Amosha, O. I., Aptekar, S. S., Bilopol’skyi, M. G., Iuriy, S. U. et al. (2011). Structural economic reforms: international experience, institutions, strategies for Ukraine. Ternopil: Economichna dumka, TNEU.
Bril’, M. S. (2020). Methodology of formation of a balanced system of indicators of regional differentiation. Biznes Inform, 4, 133–142. DOI: https://doi.org/10.32983/2222-4459-2020-4-133-142
Brumnik, T., Klebanova, L., Gur’yanova, L., Sergienko, O., Kavun, S., & Nepomnyaschiy V. (2014). Synthesis of systems modeling for early crisis forecasting and prevention. European journal of scientific research, 118 (1), Jan, 7–22.
Cherniuk, L. H. et al. (2011). Regional-spatial economic systems of Ukraine: methodology and modern practice of their formation. Kyiv, Cherkasy.
De Dominic, L. (2014). Inequality and Growth in European Regions: towards a place-based approach. Spatial Economic Analysis, 9 (2), 120–141. DOI: https://doi.org/10.1080/17421772.2014.891157
Dorosh, V. Yu., & Pushkarchuk, I. M. (2015). Evolutionary and conceptual approach to the identification of spatial aspects of the spread of economic phenomena. Ekonomichnyy forum, 4, 6–11.
Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica, 55 (2), 251–276. DOI: https://doi.org:10.2307/1913236.
Gonta, O. (2018). Problems of disproportionality of the economic growth of the national economy of Ukraine and its regions. Problemy i perspektyvy ekonomiky ta upravlinnya, 2, 57–63. DOI: https://doi.org/10.25140/2411-5215-2018-2(14)-57-63.
Gur’yanova, L. S., Klebanova, T. S., Sergiyenko, O. A., & Goncharenko, G. S. (2012). Model of regional development asymmetry analysis. Problemy ekonomiky, 2, 27–33.
Gur'yanova, L. S. (2013). Modeling of balanced socio-economic development of regions. Berdyansʹk: FOP Tkachuk O. V.
Klebanova, T. S., Gur’yanova, L. S., & Sergiyenko, E. A. (2012). Modern problems of forecasting socio-economic processes: concepts, models, applied aspects. Berdyansk: FOP Tkachuk O. V., pp. 58–73.
Klebanova, T. S., Gur’yanova, L. S., & Shevchenko I. K. (2014). Model basis of the early warning and localization of crises in economic systems of territories. Actual problems of economics, 3 (153), 201–211.
Kondratenko, N. O., Krasnonosova, O. M., & Papp, V. V. (2022). Problems and prospects of socio-economic development of the regions of Ukraine. Biznes Inform, 1, 198–204. DOI: https://doi.org/10.32983/2222-4459-2022-1-198-204
Kyzym, M. O., Belikova, N. V., & Bekker, M. L. (2021). Scientific and methodological support for solving problem situations in the regions of Ukraine. Problemy ekonomiky, 2, 70–85. DOI: https://doi.org/10.32983/2222-0712-2021-2-70-85
Manoilenko, O. V., Sergienko, O. A., & Gaponenko, O. Ye. (2020). Modeling of innovative activity of hierarchical systems: assessment of diffusion and economic effect of the existing potential and results. Problemy ekonomiky, 1 (43), 312–324. DOI: https://doi.org/10.32983/2222-0712-2020-1-312-324
Martinez-Galarraga, J., Roses, J. R., and Tirado, D. A. (2015). The Long-Term Patterns of Regional Economic Inequality in Spain. Regional Studies, 49 (4), 502–517. DOI: https://doi.org/10.1080/00343404.2013.783692
McCann, Ph. (2020). Perceptions of regional inequality and the geography of discontent: insights from the UK. Regional Studies, 54, (2), 256–267. DOI: https://doi.org/10.1080/00343404.2019.1619928
Melnikova, M. V. (2015). Matrix models in planning structural changes in the economy of the old industrial region. Aktualʹni problemy rozvytku zovnishnʹoekonomichnoyi ta innovatsiynoyi diyalʹnosti: coll. of science works of DonSUU. “Economy”; vol. XVI, issue 295. Mariupol: DonDUU.
Otenko, I., & Parkhomenko, N. (2019). Strategies of business systems development in global environment. Scientific Annals of Economics and Business, 66 (2), 153–166.
Scenario models of balanced socio-economic regional development. (2013). Eds. T. S. Klebanova, & O. V. Mosenkov. Berdyansʹk: FOP Tkachuk O. V.
Shebanin, V. S., Umanskaia, V. V., & Reshetilov, G. O. (2021). Development of territories in the system of state regional policy. Rehionalʹna ekonomika, 3, 28–35. DOI: https://doi.org/10.36818/1562-0905-2021-3-3
Shevchenko, O. (2021). The toolbox for recognizing the groups of Ukraine’s regions by indicators of disparities in their social and economic development. Biznes Inform, 7, 115–126. DOI: https://doi.org/10.32983/2222-4459-2021-7-115-126
This work is licensed under a Creative Commons Attribution 4.0 International License.