EMPLOYEE SOCIAL MOBILITY AS AN INDICATOR OF SOCIAL VULNERABILITY
Abstract
The article highlights the relationship between social vulnerability and social mobility, with the latter serving as both a factor of vulnerability and a predictor of social risks, especially in the context of ongoing hostilities engendered by Russia's full-scale invasion. The study employed various methods, including induction, deduction, generalization, classification, analysis, comparison, data processing, and a systematic approach. The article examines the social vulnerability index across different geographical regions and emphasizes the importance of utilizing this index for the Ukraine recovering taking into account implications of Russia's invasion. The factors contributing to the increase in social vulnerability are analyzed, with significant attention given to the forced migration of the Ukrainian population, physical and mental trauma, labor market restructuring, and inequality in access to social services. The author advocates for the coordinated involvement of the state, businesses, and public institutions in the rehabilitation and integration of socially vulnerable individuals. This includes the accumulation of social and human capital, providing access to social protection systems, creating an inclusive environment, and developing programs for the return of Ukrainian war refugees. The activities of the State Employment Service to support veterans, combatants, and veterans with disabilities are also examined. The article reviews the involvement of Ukrainian companies in the professional integration of veterans by creating an inclusive environment and offering professional training opportunities. Key indicators of quality of life and happiness are analyzed to underscore the priority of implementing programs that strengthen integrity, good governance, and democracy, with consideration for human-centered and gender-responsive approaches. The article also substantiates the importance of initiatives and measures to enhance socio-economic sustainability and state recovery to achieve the goals of European integration. Finally, it is proved that under martial law, the social mobility of the working population exacerbates social vulnerability, thereby increasing the likelihood of social risks.
Downloads
References
Malynovska, O. A., & Yatsenko, L. D. (2024). The impact of war-related forced migration abroad on the state of Ukraine's labor potential in the context of social sustainability. Problems and Prospects of Economy and Management, 2(34), 7–25. doi: https://doi.org/10.25140/2411-5215-2023-2(34)-7-25 (in Ukrainian)
Maidanik, I. P. (2024). Some Regional Peculiarities of Forced Migration from Ukraine: the Capital and Other Regions. Demography and Social Economy, 2(56), 44-61. doi: https://doi.org/10.15407/dse2024.02.044 (in Ukrainian)
Libanova, E. M, & Pozniak, O. V. (2023). War-driven wave of Ukrainian emigration to Europe: an attempt to evaluate the scale and consequences (the view of Ukrainian researchers). Statistics in Transition, new series, 24(1), 259-276. doi: https://doi.org/10.59170/stattrans-2023-014
Cottle Hunt, E., & Caliendo, F. N. (2023). Social security and risk sharing: the role of economic mobility across generations. Int Tax Public Finance, 30, 1374–1407. doi: https://doi.org/10.1007/s10797-022-09761-x
Neidhöfer, G., Ciaschi, M., Gasparini, L. et al. (2024). Social mobility and economic development. J Econ Growth, 29, 327–359. doi: https://doi.org/10.1007/s10887-023-09234-8
Alfano, V., Mariotti, I., Nappo, N. et al. (2024). Work-life balance during the COVID-19 pandemic. A European perspective. J. Ind. Bus. Econ., 51, 1041–1065. doi: https://doi.org/10.1007/s40812-024-00316-1
Bilgel, F., & Karahasan, B.C. (2024). Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework. Comput Econ., 63, 793–833. doi: https://doi.org/10.1007/s10614-023-10359-6
Kawaguchi, D., Kitao, S., & Nose, M. (2022). The impact of COVID-19 on Japanese firms: mobility and resilience via remote work. Int Tax Public Finance, 29, 1419–1449. doi: https://doi.org/10.1007/s10797-022-09749-7
Piton, C., & Rycx, F. (2021). A Broken Social Elevator? Employment Outcomes of First- and Second-Generation Immigrants in Belgium. De Economist, 169, 319–365. doi: https://doi.org/10.1007/s10645-021-09385-2
Rohenkohl, B. (2023). Intergenerational income mobility: New evidence from the UK. J Econ Inequal, 21, 789–814. doi: https://doi.org/10.1007/s10888-023-09577-7
Abolhassani, M. (2024). Productivity Spillovers of Superior Firms Through Worker Mobility. De Economist, 172, 1–23. doi: https://doi.org/10.1007/s10645-023-09431-1
Behera, J., Jain, A., & Sharma, R. (2024). The nexus between labour mobility and innovation: an empirical analysis. J. Ind. Bus. Econ., 51, 551–584. doi: https://doi.org/10.1007/s40812-024-00305-4
Bidwell, M., Choi, K., & Fernandez-Mateo, I. (2023). Brokered Careers: The Role of Search Firms in Managerial Career Mobility. ILR Review, 76(1), 210-240. doi: https://doi.org/10.1177/00197939221096112
Hollister, M., Karunakaran, A., & Cohen, L.E. (2023). An Ecological Model of Task Disruption: The Impact of Partial Automation of Jobs through AI. Academy of Management Proceedings, 1. doi: https://doi.org/10.5465/AMPROC.2023.13876abstract
Hunt, J., Cockburn, I. M., & Bessen, J. (2024). Is Distance from Innovation a Barrier to the Adoption of Artificial Intelligence? National Bureau of Economic Research, Working Paper, 33022. doi: https://doi.org/10.3386/w33022
Xiao, J., & Dahlstrand, A. L. (2023). Skill-biased acquisitions? Human capital and employee mobility in small technology firms. Small Bus Econ, 60, 1219–1247. doi: https://doi.org/10.1007/s11187-022-00654-1
Adhikari, A., Vethman, S., Vos, D. et al. (2024). Gender mobility in the labor market with skills-based matching models. AI Ethics, 4, 163–167. doi: https://doi.org/10.1007/s43681-023-00410-5
Thomas, D., Jang, S., & Scandlyn, J. (2020). The CHASMS conceptual model of cascading disasters and social vulnerability: The COVID‐19 case example. International. Journal of Disaster Risk Reduction, 51, 101828. doi: https://doi.org/10.1016/j.ijdrr.2020.101828
Sneha, B., & Sunil, N. (2023). A review of socio-economic vulnerability: The emergence of its theoretical concepts, models and methodologies. Natural Hazards Research, 3(3), 563-571. doi: https://doi.org/10.1016/j.nhres.2023.05.005
Calderón‐Larrañaga, A., Dekhtyar, S., Vetrano, D., Bellander T., & Fratiglioni, L. (2020). COVID‐19: Risk accumulation among biologically and socially vulnerable older populations. Ageing Research Reviews, 63. doi: https://doi.org/10.1016/j.arr.2020.101149
Fallah‐Aliabadi, S., Fatemi, F., Heydari, A., Khajehaminian, M., Lotfi, M., Mirzaei, M., & Sarsangi, A. (2022). Social vulnerability indicators in pandemics focusing on COVID‐19: A systematic literature review. Public Health Nursing, 39(5), 1142-1155. doi: https://doi.org/10.1111/phn.13075
Andrusyshyn, N. I. (2022). Social vulnerability of the population: definitions, approaches to understanding and assessment. Economy and Society, 37. doi: https://doi.org/10.32782/2524-0072/2022-37-42 (in Ukrainian)
Ryndzak, O. T. (2021). Social vulnerability of the population and its conceptual and terminological support. Economy and Society, 33. doi: https://doi.org/10.32782/2524-0072/2021-33-79 (in Ukrainian)
Bidak, V. Ya. (2023). Social vulnerability of the population of Ukraine in the focus of strengthening national security. Regional Economy, 3, 70-85. doi: https://doi.org/10.36818/1562-0905-2023-3-6 (in Ukrainian)
Stozhok, L. H. Socio-economic background of the social vulnerability of working-age population. Economy of Ukraine, 9(754), 64-94. doi: https://doi.org/10.15407/econo myukr.2024.09.064 (in Ukrainian)
This work is licensed under a Creative Commons Attribution 4.0 International License.