Financial security of macro regions in the period of military aggression
/ 0
- Details
- Category: Content №4 2023
- Last Updated on 28 August 2023
- Published on 30 November -0001
- Hits: 1783
Authors:
R.H.Snishchenko*, orcid.org/0000-0003-2857-0980, Khmelnytskyi Cooperative Trade and Economic Institute, Khmelnytskyi, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V.I.Hrynchutskyi, orcid.org/0000-0001-5501-0263, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Yu.M.Nikolchuk, orcid.org/0000-0001-7466-2558, Khmelnytskyi Cooperative Trade and Economic Institute, Khmelnytskyi, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.O.Lopatovska, orcid.org/0000-0002-9301-3833, Khmelnytskyi Cooperative Trade and Economic Institute, Khmelnytskyi, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
L.M.Krot, orcid.org/0000-0001-9999-0144, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, 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. 2023, (4): 157 - 163
https://doi.org/10.33271/nvngu/2023-4/157
Abstract:
Purpose. Formulation of the main factors affecting the internal migration of the population during the period of military aggression, creation of an economic-mathematical model that will reproduce the number of internally displaced persons (IDPs) for forecasting the financial support of macro-regions.
Methodology. The research used general scientific and special research methods: the method of critical analysis, scientific abstraction and generalization of scientific experience of modern theoretical studies, methods of statistical analysis, expert evaluations, system-complex approach.
Findings. The main differences in the reasons for the country citizens’ migration are identified in peacetime and in wartime. The factors that increase the behavioral uncertainty of displaced persons are outlined. It is proposed to create economic and mathematical models that will reproduce the dynamics of the number of displaced persons people to forecast the financial provision of macro-regions using the method of correlation-regression analysis. Invariable indicators that have the greatest impact on the number are determined for new arrivals in the specified territories.
Originality. The economic and mathematical models presented in the article reproduce the dynamics of the number of internally displaced persons based on statistical data of a representative survey. Unlike the existing ones, they take into account the main factors that affect the internal migration of the population during the period of military aggression.
Practical value. The economic-mathematical models presented in the article can be applied in practice in the methods for calculating the financial needs of regions, individual regions and settlements to forecast the number of forced migrants. The method proposed in the article for calculating the forecast quantity of internal migrants allows timely adjustment of the components of economic and mathematical models, which contributes to increasing their reliability.
Keywords: financial support, migration, displaced persons, macro-region, armed aggression, financial needs
References.
1. Hawkar, I., & Hassan, C. Q. (2017). Post-traumatic Stress Disorder Symptoms Resulting from Torture and Other Traumatic Events among Syrian Kurdish Refugees in Kurdistan Region, Iraq. Frontiers in Psychology, (8), 1-8. https://doi.org/10.3389/fpsyg.2017.00241.
2. Abdo, N., Sweidan, F., & Batieha, A. (2019). Quality-of-life among Syrian refugees residing outside camps in Jordan relative to Jordanians and other countries. PeerJ. https://doi.org/10.7717/peerj.6454.
3. Aziz, I. A., Hutchinson, C. V., & Maltby, J. (2014). Quality of life of Syrian refugees living in camps in the Kurdistan Region of Iraq. Reerj. https://doi.org/10.7717/peerj.670.
4. Boor, C., Amos, R., Nevitt, S., Dowrick, C., & White, R. (2020). Systematic review of factors associated with quality of life of asylum seekers and refugees in high-income countries Systematic review of factors associated with quality of life of asylum seekers and refugees in high-income countries. Conflict and Health. https://doi.org/10.1186/s13031-020-00292-y.
5. Masri, A. l., Müller, M., Nebl, J., Greupner, Th., Hahn, A., & Straka, D. (2021). Quality of life among Syrian refugees in Germany: a cross-sectional pilot study. Archives of Public Health, (79).
https://doi.org/10.1186/s13690-021-00745-7.
6. Mukonin, Yu. V. (2017). Organizing, planning and executing evacuation. Kropyvnytskyi: EMC civil protection and life safety of Kirovohrad Region.
7. Shcherbey, M. V., & Tsitsei, V. I. (2021). Guidelines for implementation of authority in the field of civil protection in the united territorial communities. Uzhhorod: Drukarnya Breza.
8. Zadoya, A. O. (2018). Enterprises and migration facilities of ukrainian youth. European vector of economic development, (2), 36-47. https://doi.org/10.32342/2074-5362-2018-25-2.
9. Podra, O., & Petryshyn, N. (2021). Migration processes in Ukraine: volumes, reasons, consequences. Economic analysis, (31), 52-59. https://doi.org/10.35774/econa2021.03.052.
10. Shkarlet, S. M., Margasova, V. G., Korkots, O. M., & Ruzhytskyi, Yu. V. (2018). Financial instruments of state policy of economic development in Ukraine: monograph. Chernihiv: ChNTU.
11. Margasova, V. G. (2021). Risk management tools for emergencies in the context of global informatization. Special Issue: Innovation in the Economy and Society of the Digital Age, 5(39), 1-11. https://doi.org/10.25115/eea.v39i5.4780.
12. Pylypenko, Y. I., Pylypenko, H. M., & Alieksieienko, D. D. (2020). Civil Coordination as a Factor in the Efficiency of Provision of Local Public Goods. Business Inform, (3), 8-15. https://doi.org/10.32983/2222-4459-2020-3-8-15.
13. Otenko, V. I., Otenko, I. P., & Fatyanov, D. (2022). Monitoring the Development of the Export and Import Potential of the Regions Montenegrin. Journal of Economics; Podgorica, 18(2), 39-50. https://doi.org/10.14254/1800-5845/2022.18-2.4.
14. The EU’s response to the migration crisis in Europe. We are with Ukraine. Retrieved from https://ukraine.europarl.europa.eu.
15. Report on internal displacement in Ukraine. Survey of the general population. UN International Organization for Migration. Retrieved from https://dtm.iom.int/reports.
16. TOV “MinfinMedia”. Official site (2022). Retrieved from http://www.minfin.com.ua/.
17. State Statistics Service of Ukraine (2022). Retrieved from http://www.ukrstat.gov.ua/.
18. Government portal. Official site (2022). Retrieved from https://www.kmu.gov.ua.
19. National Social Service of Ukraine (2022). Retrieved from https://nssu.gov.ua/vpo.
Newer news items:
Older news items:
- Analysis of digitalization changes and their impact on enterprise security management under uncertainty - 28/08/2023 20:15
- Impact of digital transformation on business structures - 28/08/2023 20:15
- Investigation of combined ensemble methods for diagnostics of the quality of interaction of human-machine systems - 28/08/2023 20:15
- Сompetitiveness assessment of the railway network of Кazakhstan in the performance of transit container transportation - 28/08/2023 20:15
- Utilization of the secondary resources of titanium-zirconium pits when constructing highways - 28/08/2023 20:15
- The role of the formation of the environmental management system in the improvement of international economic relations - 28/08/2023 20:15
- Improving a process of managing dynamic occupational risks - 28/08/2023 20:15
- Soil contamination status using contamination indicators and the health risk - 28/08/2023 20:15
- Parameterization of the statistical model for electrical energy efficiency control - 28/08/2023 20:15
- Energy transition: the future of energy on the base of smart specialization - 28/08/2023 20:15
Archive