Efficiency analysis of engineering colleges in India: Decomposition into parallel sub-processes systems

Neelesh Kumar Mishra, Abhishek Chakraborty, Sanjeet Singh and Prabhat Ranjan

Socio-Economic Planning Sciences, 2023, vol. 89, issue C

Abstract: Analyzing engineering colleges in India with Data Envelopment Analysis (DEA) is the focus of this study. Engineering colleges pioneer in teaching and research, creating two sub-processes within engineering education. Thus, our study considers each engineering college to comprise two parallel non-homogenous sub-processes, such as teaching and researching. Unlike the conventional DEA models, where the system is treated as a black box, this work attempts to independently assess the impact of each parallel sub-process so that it is possible to identify specific changes in the respective processes to improve the overall efficiency. In particular, our study analyzed the efficiency of engineering colleges based on the National Institute Ranking Framework (NIRF) data. Further, the comparison of the efficiency scores from teaching and research indicates that, on average, the institutes are more efficient in teaching than researching. The current study helps policymakers set priorities and course corrections for performance improvement programs of engineering colleges in India.

Keywords: Data envelopment analysis; Efficiency; Mann-Whitney U Test; NIRF; Higher education (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:89:y:2023:i:c:s0038012123002203

DOI: 10.1016/j.seps.2023.101708

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