EFFICIENCY ANALYSIS OF INDIAN HIGHER EDUCATION
INSTITUTIONS USING NON-DISCRETIONARY
AND ENVIRONMENTAL FACTORS
Deepa George1, Subramanyam T2
1Research Scholar, Department of Mathematics and Statistics,
M S Ramaiah University of Applied Sciences, Bengaluru, India
2Assistant Professor, Department of Mathematics and Statistics,
M S Ramaiah University of Applied Sciences, Bengaluru, India
Abstract.
Efficiency assessment in higher education often assumes homogeneous operating conditions; however, institutional age, governance structures, and regional environments significantly influence the conversion of inputs into outcomes. Failing to consider these contextual factors may lead to biased efficiency estimates, as they may attribute structural advantages to managerial performance. This study develops a contextualized efficiency framework for Indian higher education institutions using panel data from 76 institutions from 2020 to 2024. The analysis employs input-oriented CCR and BCC Data Envelopment Analysis (DEA) models to estimate baseline efficiency, followed by adjustments incorporating institutional age as a non-discretionary factor and environmental constraints based on governance type and geographic region.
The approach enables decomposition of efficiency into scale, age-related, environmental, and pure technical components. A Tobit regression model employed to investigate the impact of governance and regional characteristics on adjusted efficiency scores. The results reveal a consistent increase in efficiency estimates after accounting for contextual factors. Governance structures and regional conditions significantly explain variations in institutional performance. The study offers a context-sensitive framework for more reliable and equitable evaluation of efficiency in higher education.
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Source: International Journal of Applied Mathematics
ISSN printed version: 1311-1728
ISSN on-line version: 1314-8060
Year: 2024
Volume: 37
Issue: 1
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