Please use this identifier to cite or link to this item: http://212.1.86.13:8080/xmlui/handle/123456789/5572
Title: The quality of higher education and its funding in countries with different levels of socio-economic development
Authors: Hryhorash, Olha
Bocharov, Dmytro
Korneyev, Maxim
Rudyanova, Tatyana
Hryhorash, Tetiana
Keywords: higher education
investment
cost efficiency
cluster analysis
Issue Date: 9-Aug-2023
Citation: Hryhorash Olha, Bocharov Dmytro, Korneyev Maxim, Rudyanova Tatyana and Hryhorash Tetiana (2022). The quality of higher education and its funding in countries with different levels of socio-economic development. Knowledge and Performance Management, 6(1), 49-61
Series/Report no.: Knowledge and Performance Management;2022, №6(1)
Abstract: Higher education institutions train professional and scientific personnel. Therefore, the quality of higher education and its funding are vital for training highly qualified specialists. This study analyzes the annual volume of expenses (investments) per student in groups of countries, divided according to their socio-economic development, and competitiveness of higher education. The division of countries into groups is based on simultaneous compliance with the criteria for the quality of higher education and the level of social and economic development. The Ward’s clustering method was applied. The analysis was conducted based on data from 32 OECD countries and partner countries. The paper found a significant direct correlation between the level of competitiveness of higher education and the amount of its funding per student (R = 0.895). At the same time, a significant direct correlation was revealed between the level of competitiveness of higher education and the human development index (R = 0.787) and the global competitiveness index (R = 0.888). Finally, a significant direct correlation between the amount of expenditures and the level of competitiveness of higher education was found only in the cluster with the highest indicators of socio-economic development (Rs = 0.707). In other clusters, the correlation is weak or weakly inverse.
URI: http://biblio.umsf.dp.ua/jspui/handle/123456789/5572
Appears in Collections:Кафедра фінансів, банківської справи та страхування



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