ტელეფონი+995 (431) 23 79 79

ელ ფოსტა[email protected]

მისამართიქუთაისი, წერეთლის ქ. #13

Regional Determinants of Lifelong Learning in Russia: the Impact of Infrastructure Quality, Crime Level and Cultural Development on the Human Capital Strategies of the Employed


Ilia Chernenko

 PhD, Associate Professor, Ural federal university

 [email protected]


აბსტრაქტი

Lifelong learning (LLL) is a crucial strategy for the development of human capital, particularly in the face of challenges such as an aging population, a significant decrease in birth rates, and the outflow of qualified personnel, which pose a threat to the national labor market. The objective of this article is to examine the factors that influence LLL and assess the specific impact of regional variables that reflect infrastructure quality, access to social services, cultural development, and crime rates. This study utilizes data from a Rosstat survey on the well-being of the population, which was conducted in all Russian regions in 2022. Research methods include exploratory factor analysis, regression analysis of the Mincer equation with regional variables, and the estimation of logistic regression coefficients. The dependent variable in this analysis is a binary variable indicating participation in LLL. The findings reveal that LLL has a significantly positive effect on the income of the employed population. The likelihood of participating in LLL is influenced by the level of social engagement, various individual characteristics of respondents, as well as a range of regional factors. Limited access to essential social services and inadequate infrastructure have a negative impact on the likelihood of LLL participation, while the level of cultural development does not show statistically significant effects. The estimated results are consistent across all regions. Furthermore, the perceived level of crime also positively correlates with the likelihood of LLL participation. This may be attributed to education being perceived as a means of social mobility and enhanced job security. The subjective assessment of crime is relatively high in populations with high education attainment and income levels, which are the primary individual determinants of LLL participation.


საკვანძო სიტყვები: human capital; lifelong learning; regional development; quality of infrastructure; employed population
JEL: J24, J83
ციტირებისათვის:

Chernenko I. (2023) Regional Determinants of Lifelong Learning in Russia: the Impact of Infrastructure Quality, Crime Level and Cultural Development on the Human Capital Strategies of the Employed. International Scientific Conference "Human Capital, Institutions, Economic Growth". Proceedings. Kutaisi University. pp. 71 - 75. DOI:  https://doi.org/10.52244/c.2023.11.6



გამოყენებული ლიტერატურა:

Holford, J., Boyadjieva, P., Clancy, S., Hefler, G., & Studená, I. (Eds.). (2023). Lifelong Learning, Young Adults and the Challenges of Disadvantage in Europe. Springer International Publishing. https://doi.org/10.1007/978-3-031-14109-6

Kapeliushnikov, R. I. (2023). The Russian labor market: A statistical portrait on the crises background. Voprosy Ekonomiki, 8, 5–37. https://doi.org/10.32609/0042-8736-2023-8-5-37

Kim, C., & Park, T. (2022). Predicting Determinants of Lifelong Learning Intention Using Gradient Boosting Machine (GBM) with Grid Search. Sustainability (Switzerland), 14(9). https://doi.org/10.3390/su14095256

Kim, J., & Park, C. Y. (2020). Education, skill training, and lifelong learning in the era of technological revolution: a review. Asian-Pacific Economic Literature, 34(2), 3–19. https://doi.org/10.1111/apel.12299

Korpi, T., & Tåhlin, M. (2021). On-the-job training: a skill match approach to the determinants of lifelong learning. Industrial Relations Journal, 52(1), 64–81. https://doi.org/10.1111/irj.12317

Sabrià-Bernadó, B., LLinàs-Audet, X., & Isus, S. (2017). Determinants of user demand for lifelong learning in institutions of higher education. International Journal of Training and Development, 21(2), 145–166. https://doi.org/10.1111/ijtd.12101

Varlamova, M., & Sinyavskaya, O. (2021). Active Ageing Index in Russia - Identifying Determinants for Inequality. Journal of Population Ageing, 14(1), 69–90. https://doi.org/10.1007/s12062-020-09277-4