Risks of disruption of the social well-being of the population in modern conditions
- Autores: Razov P.V.1, Novikov A.V.2
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Afiliações:
- Financial University under the Government of the Russian Federation
- Russian State Social University
- Edição: Volume 14, Nº 5 (2024)
- Páginas: 167-172
- Seção: Sociology of management
- URL: https://journals.eco-vector.com/2223-0092/article/view/655535
- DOI: https://doi.org/10.33693/2223-0092-2024-14-5-167-172
- EDN: https://elibrary.ru/SGUVEI
- ID: 655535
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Resumo
The article is devoted to the analysis of factors affecting the social well-being of various population groups in Russia. The study assessed the current state of social well-being based on key indicators such as income, access to education, medical care, level of social support and life satisfaction. Using questionnaires, interviews and statistical data analysis, the main social groups were analyzed, including employees of commercial enterprises, public sector workers, entrepreneurs and pensioners. The results revealed differences in the level of social well-being and the degree of vulnerability to modern risks, such as economic and political crises, technological changes and social factors. The article also offers recommendations for improving social well-being and reducing risks for the most vulnerable groups of the population.
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Sobre autores
Pavel Razov
Financial University under the Government of the Russian Federation
Autor responsável pela correspondência
Email: pvrazov@fa.ru
ORCID ID: 0000-0003-2714-8622
Código SPIN: 9488-2829
Dr. Sci. (Sociol.), Professor, Department of Sociology, Faculty of Social Sciences and Mass Communications
Rússia, MoscowAlexey Novikov
Russian State Social University
Email: noval2403@mail.ru
Código SPIN: 2383-2848
Dr. Sci. (Sociol.), Professor, Department of Sociology, Ethnography and Sociometry
Rússia, MoscowBibliografia
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- Shchekotin E.V., Myagkov M.G., Goiko V.L. et al. Subjective assessment of the (dis)well-being of the population of the regions of the Russian Federation based on social network data. Monitoring of Public Opinion: Economic and Social Changes. 2020. No. 1 (155). Pp. 78–116. (In Rus.)
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