ECONOMETRIC ANALYSIS OF FACTORS INFLUENCING THE MANAGEMENT EFFICIENCY OF HIGHER EDUCATION INSTITUTIONS IN THE DIGITAL ECONOMY OF UZBEKISTAN

Authors

  • Olimjonov Abbosjon Olimjonovich independent researcher at TSUE

Abstract

This paper explores the major factors that can affect the efficiency of the work of higher education institutions (HEIs) in Uzbekistan in a digital economy. The study is done using econometric modeling and therefore analyzes the effects of digitalization factors on the overall revenue performance of HEIs including the use of digital services and investment in digital infrastructure. The data used in the analysis include the annual data of 2017-2024 and Ordinary Least Squares (OLS) and log-OLS is used with the EViews 14 software. The basic variables are total revenue (the dependent variable) and independent variables, which are contract revenue, grant income, total expenditure, student enrollment, the percentage of digital service utilization, and digital infrastructure investment. The findings indicate that there is a significant and statistically significant correlation between the use of digital services and institutional revenue, having an adjusted R 2 of 0.875, which means that about 87.5 percent of the HEI revenue variability is forecasted by the indicators of digitalization. The tests of diagnostics prove that there is no multicollinearity and autocorrelation, which guarantees the reliability of the model. The results highlight the importance of the digital transformation in promoting the financial efficiency and strategic management of HEIs. The implications of the policy are focused on emphasis on digital service growth and infrastructure development to enhance transparency, sustainability, and performance within the sector of higher education.

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References

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Published

2025-10-31

How to Cite

Olimjonov Abbosjon Olimjonovich. (2025). ECONOMETRIC ANALYSIS OF FACTORS INFLUENCING THE MANAGEMENT EFFICIENCY OF HIGHER EDUCATION INSTITUTIONS IN THE DIGITAL ECONOMY OF UZBEKISTAN. Journal of Applied Science and Social Science, 15(10), 1637–1643. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2292

Issue

Vol. 15 No. 10 (2025): Volume 15 Issue 10

Section

Articles

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