CROSS-CORRELATION ANALYSIS OF DYNAMIC INTERDEPENDENCIES BETWEEN SOCIOECONOMIC DEVELOPMENT AND THE DEMAND FOR HIGHER EDUCATION IN UKRAINE
DOI:
https://doi.org/10.35774/jee2025.03.467Keywords:
cross-correlation analysis, demographic factors, distributed lags, higher education, human capital, recovery policy, socio-economic development, unemployment.Abstract
The paper identifies time lags and provides a quantitative assessment of the interrelationships between key socio-economic indicators and the dynamics of enrollment in higher education institutions. The methodological framework is based on cross-correlation time series analysis using distributed lags, which made it possible to determine the delayed effects of demographic and economic factors on educational processes. The study revealed a delayed correlation between birth rates and the number of students, with a time lag of 16–18 years, as well as an inverse relationship between the unemployment rate among individuals with higher education and the number of applicants. A negative impact of high lending rates on the demand for higher education was identified, alongside a positive effect of the growth of vulnerable employment, which stimulates the pursuit of education. The practical significance of the study lies in the potential use of the obtained results for forecasting educational needs, improving public funding mechanisms, optimizing the network of higher education institutions, and developing an integrated «education–economy–security» strategy in the context of Ukraine’s European integration.
JEL: I21, O15, O16, C22.
References
Abu-Saad, I. (2016). Access to higher education and its socio-economic impact among Bedouin Arabs in Southern Israel. International Journal of Educational Research, 76, 96-103. https://doi.org/10.1016/j.ijer.2015.06.001
Azman, N., Sirat, M., & Ahmad, A. R. (2014). Higher education, learning regions and the Malaysian transformation policies. Higher Education Policy, 27, 301–321. https://doi.org/10.1057/hep.2013.26
Becker, G. S. (1975). Human capital: A theoretical and empirical analysis, with special reference to education. National Bureau of Economic Research.
Bound, J., & Turner, S. (2007). Cohort crowding: How resources affect collegiate attainment. Journal of Public Economics, 91(5-6), 877–899. https://doi.org/10.1016/j.jpubeco.2006.07.006
Callender, C., & Jackson, J. (2005). Does the fear of debt deter students from higher education? Journal of Social Policy, 34(4), 509–540. https://doi.org/10.1017/S004727940500913X
Dao, T. B. T., & Khuc, V. Q. (2023). The Impact of openness on human capital: A study of countries by the level of development. Economies, 11(7), Article 175. https://doi.org/10.3390/economies11070175
Dynarski, S. (2002). The consequences of merit aid (Working Paper 9400). National Bureau of Economic Research. https://doi.org/10.3386/w9400
Etzkowitz, H., Dzisah, J., & Clouser, M. (2022). Shaping the entrepreneurial university: Two experiments and a proposal for innovation in higher education. Industry and Higher Education, 36(1), 3-12. https://doi.org/10.1177/0950422221993421
Heller, D. E. (1997). Student price response in higher education: An update to Leslie and Brinkman. The Journal of Higher Education, 68(6), 624–659. https://doi.org/10.2307/2959966
Hryhorkiv, M. (2016). Time lags in the dynamic economic model [in Ukrainian]. Visnyk Chernivetskoho Torhovelno-Ekonomichnoho Instytutu. Ekonomichni Nauky, (1), 242-251. http://nbuv.gov.ua/UJRN/Vchtei_2016_1_29
Jabeen, L., Iqbal, N., Haider N., & Ibal, S. (2015). Cross correlation analysis of reward & punishment on students learning behavior. International Letters of Social and Humanistic Sciences, 59, 61–64. https://d-nb.info/1191596907/34
Leoni, S. (2025). A historical review of the role of education: From human capital to human capabilities. Review of Political Economy, 37(1), 227–244. https://doi.org/10.1080/09538259.2023.2245233
Lishchynskyy, I. & Lyzun, M. (2024). Pattern of European regional creativity: Exploring endogenous sustainability. ECONOMICS, 12(3), 397-407. https://doi.org/10.2478/eoik-2024-0030
Lishchynskyy, I., Krysovatyy, A., Desyatnyuk, O., Bogacki, S., & Lyzun, M. (2025). Quantitative measurement of glocalization to assess endogenous and exogenous parameters of regional sustainability. Sustainability, 17(17), Article 7584. https://doi.org/10.3390/su17177584
Marginson, S. (2016). The worldwide trend to high participation higher education: Dynamics of social stratification in inclusive systems. Higher Education, 72, 413–434. https://doi.org/10.1007/s10734-016-0016-x
McGreal, R., & Olcott, D., Jr. (2022). A strategic reset: Micro-credentials for higher education leaders. Smart Learning Environments, (9), Article 9. https://doi.org/10.1186/s40561-022-00190-1
McMahon, W. W. (2009). Higher learning, greater good: The private and social benefits of higher education. Johns Hopkins University Press.
OECD. (2023). Education at a Glance 2023: OECD Indicators. OECD Publishing. https://doi.org/10.1787/e13bef63-en
OECD. (2024). Education at a Glance 2024: OECD Indicators. OECD Publishing. https://doi.org/10.1787/c00cad36-en
Olcott, D., Jr. (2022). Micro-credentials: A catalyst for strategic reset and change in U.S. higher education. American Journal of Distance Education, 36(1), 19–35. https://doi.org/10.1080/08923647.2021.1997537
Olo, D., Correia, L., & Rego, C. (2021). Higher education institutions and development: Missions, models, and challenges. Journal of Social Studies Education Research, 12(2), 1-25. https://www.learntechlib.org/p/219851/
Schultz, T. W. (1961). Investment in human capital. American Economic Review, 51(1), 1–17.
State Statistics Service of Ukraine. (n.d.). Network and activities of educational institutions [Online database]. https://stat.gov.ua
Tabassum, R., & Akhter, N. (2020). Effect of demographic factors on academic performance of university students. Journal of Research & Reflections in Education, 14(1), 64-80. https://ue.edu.pk/jrre/articles/Article14-5.pdf
Teixeira, A. A. C., & Queirós, A. S. S. (2016). Economic growth, human capital and structural change: A dynamic panel data analysis. Research Policy, 45(8), 1636–1648. https://doi.org/10.1016/j.respol.2016.04.006
Verkhovna Rada of Ukraine. (2017, September 5). Law on education (No. 2145- VIII) [in Ukrainian]. https://zakon.rada.gov.ua/laws/show/2145-19#Text
World Bank. (n.d.). World Bank Open Data [Online database]. World Bank Group. https://data.worldbank.org/
Yankovyi, O., Kozak, Y., Lyzun, M., Lishchynskyy, I., Savelyev, Y., & Kuryliak, V. (2022). Investment decision based on analysis of mathematical interrelation between criteria IRR, MIRR, PI. Financial and Credit Activity: Problems of Theory and Practice, 5(46), 171–181. https://doi.org/10.55643/fcaptp.5.46.2022.3857
Received: August 15, 2025.
Reviewed: August 29, 2025.
Accepted: September 12, 2025.
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