Models of the Impact of Socio-Economic Shocks on Higher Education Development

Olena Rayevnyeva (), Volodymyr Ponomarenko, Silvia Matusova, Kostyantyn Stryzhychenko, Stanislav Filip and Olha Brovko
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Olena Rayevnyeva: Bratislava University of Economics and Management, Furdekova 16, 85104 Bratislava, Slovakia
Volodymyr Ponomarenko: Simon Kuznets Kharkiv National University of Economics, av. Nauki 9-a, 61166 Kharkiv, Ukraine
Silvia Matusova: Bratislava University of Economics and Management, Furdekova 16, 85104 Bratislava, Slovakia
Kostyantyn Stryzhychenko: Simon Kuznets Kharkiv National University of Economics, av. Nauki 9-a, 61166 Kharkiv, Ukraine
Stanislav Filip: Bratislava University of Economics and Management, Furdekova 16, 85104 Bratislava, Slovakia
Olha Brovko: Simon Kuznets Kharkiv National University of Economics, av. Nauki 9-a, 61166 Kharkiv, Ukraine

Administrative Sciences, 2024, vol. 14, issue 11, 1-28

Abstract: This article is devoted to the analysis of the impact of socio-economic shocks on the dynamics of higher education development. It is substantiated that, on the one hand, higher education influences the development of society and the economy, on the other hand, the development trends of a country provide both opportunities and limitations for its development. An algorithmic model for studying the impact of social and economic shocks on the development of the higher education system (HES) has been developed. To diagnose the relationship between higher education and the socio-economic development of Ukraine and Slovakia, the following indicators were used: GDP per capita, the Human Development Index, school enrollment, tertiary, and net migration. The presence of nonlinear trends in the change in indicators has been shown and portraits of the socio-economic development of the countries have been constructed. To assess the impact of socio-economic shocks on the HES, the time-series decomposition method and cross-spectral analysis were used. The time-series decomposition allowed us to identify cyclical components of indicators, based on applying cross-spectral analysis, and the most significant local harmonics and the lag of their influence on the occurrence of shocks in the HES were determined. The use of the developed models allows us to predict periods of shock points in the HES depending on shocks in the tendencies of GDP per capita and net migration.

Keywords: higher education; shock points; cross-spectral analysis; trend; model; impact; harmonic (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2024
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