The Evolution of the Number of Students Versus the Evolution of the Number of Teaching Stuff

This study investigates the determinants of the number of graduating students in Romanian higher education using multiple linear regression on annual data from 2014 to 2022.The model demonstrates a high predictive capacity, identifying the previous year's number of graduates and the student graduation rate as significant predictors.A positive correlation exists between the previous and current number of graduates, suggesting temporal inertia.Conversely, the previous year's graduation rate shows a significant negative relationship with the current number of graduates, warranting further investigation into underlying mechanisms.Notably, the number of teaching staff was not a significant predictor in this model.The findings underscore the importance of prior graduation trends and graduation rates in forecasting graduate numbers, while the unexpected negative effect of the graduation rate and the non-significance of teaching staff highlight the complexity of factors influencing graduation outcomes and suggest avenues for future research, particularly concerning the role of human resources and the need for nuanced policy interventions in higher education.

Authors

Publication Details

Journal
Annals of Dunarea de Jos University of Galati Fascicle I Economics and Applied Informatics
Published
2025-12-30
DOI
https://doi.org/10.35219/eai15840409560
Primary Topic
Higher Education and Employability
Type
article
Field-Weighted Citation Impact
0.00
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article

The Evolution of the Number of Students Versus the Evolution of the Number of Teaching Stuff

Cosmina-Gabriela Nitu
Annals of Dunarea de Jos University of Galati Fascicle I Economics and Applied Informatics
Higher Education and Employability
article

The Evolution of the Number of Students Versus the Evolution of the Number of Teaching Stuff

Cosmina-Gabriela Nitu
article en

Abstract

This study investigates the determinants of the number of graduating students in Romanian higher education using multiple linear regression on annual data from 2014 to 2022.The model demonstrates a high predictive capacity, identifying the previous year's number of graduates and the student graduation rate as significant predictors.A positive correlation exists between the previous and current number of graduates, suggesting temporal inertia.Conversely, the previous year's graduation rate shows a significant negative relationship with the current number of graduates, warranting further investigation into underlying mechanisms.Notably, the number of teaching staff was not a significant predictor in this model.The findings underscore the importance of prior graduation trends and graduation rates in forecasting graduate numbers, while the unexpected negative effect of the graduation rate and the non-significance of teaching staff highlight the complexity of factors influencing graduation outcomes and suggest avenues for future research, particularly concerning the role of human resources and the need for nuanced policy interventions in higher education.

Annals of Dunarea de Jos University of Galati Fascicle I Economics and Applied InformaticsVol. 31(3)
Openalex Percentile: Top 15%
Higher Education and Employability
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The Evolution of the Number of Students Versus the Evolution of the Number of Teaching Stuff — Cosmina-Gabriela Nitu · Annals of Dunarea de Jos University of Galati Fascicle I Economics and Applied Informatics (2025) | TGRS Research Map | TGRS