315. Measuring Performance and Productivity of the Indian School Education Sector: using the Global Malmquist-Luenberger DEA Approaches
Invited abstract in session TC-60: DEA applications in Education, stream Data Envelopment Analysis and its applications.
Tuesday, 12:30-14:00Room: Western LT
Authors (first author is the speaker)
| 1. | Vishal Chaubey
|
| Department of Basic Sciences and Humanities, Pranveer Singh Institute of Technology Kanpur |
Abstract
The educational system of schools plays a crucial role in enhancing the quality of human resources and promoting sustainable growth within nations. By utilizing a general Directional Data Envelopment Analysis (DDEA) model, both constant and variable return scales are taken into account to evaluate educational efficiency, with a focus on minimizing input and undesirable outputs while maximizing desirable ones. Findings from the analysis demonstrate notable inefficiencies in a considerable number of states and union territories (UTs) during this timeframe, 2016 to 2021, with 87.1%
identified as inefficient under the Constant Return Scale (CRS) model and 38.7% under the Variable Return Scale (VRS) model. The use of the Malmquist-Luenberger Productivity Index (MLPI) and Global MLPI (GMLPI) allows for the assessment of productivity changes over the specified period. The results from MLPI and GMLPI reveal a decrease in relative efficiency for various states and UTs, underscoring the ongoing challenges in educational productivity. This pattern persists across both constant and variable return scale frameworks, indicating the presence of systemic challenges that hindering educational advancement.
Keywords
- Data Envelopment Analysis
- Efficiency Analysis
- Decision Analysis
Status: accepted
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