Measuring Technical Efficiency in A Sample Public Universities in Ethiopia: A Data Envelopment Analysis

doi:10.7176/jep/11-28-03

Abstract

Highlights

In Ethiopia the number of students, enrolling in higher educational institution is highly increasing from year to year
Alssaleh, (2012) stated that in firms where the focus is on technical efficiency, input-orientated could be an appropriate choice
Results of Data Envelopment Analysis (DEA) Models This section discusses results obtained from DEA models: CCR model with the assumption of constant return to scale (CRS) and Banker–Charnes– Cooper (BCC) model under the assumption of variable return to scale (VRS)

Summary

Introduction

In Ethiopia the number of students, enrolling in higher educational institution is highly increasing from year to year. Since 2000, Ethiopia‟s higher education sector has grown from two public universities to 33 today. From 2010, the number of students in each public university has doubled. It is estimated that Ethiopia‟s gross enrolment ratio (GER) has increased by 800 percent between 2000 and 2013. The reality on ground regarding public universities in Ethiopia is expansion via scattering colleges, institutions and campus. There is a shortage of suitably experienced and qualified staff in Ethiopia to meet current demand for education and research by expansion. There will be a higher need commensurate resources or the additional workload, which will negatively affect the quality of the university. Paying significant attention on expansion without testing efficiency would result in the short term less quality and would suffer from various problems (Wondwosen Tamrat, 2011).Many studies have done on technical efficiency of public universities for example, Elsewhere Hashimoto and Cohn (1997) have investigated Japanese universities and McMillian and Debasish (1997) have investigated Canadian universities

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