MEASURING THE RELATIVE EFFICIENCY OF THE ACADEMIC DEPARTMENTS OF GOMBE STATE UNIVERSITY USING DATA ENVELOPMENT ANALYSIS (DEA)

Abstract

Data Envelopment Analysis (DEA) has proved to be a suitable technique for assessing efficiency
of public institutions because of its unique attribute of incorporating multiple inputs and outputs.
Governments at all levels are often faced with difficult challenge of determining the efficiency of
the performance of Decision Making Units (DMUs) especially where profit is not a priority. The
study applies BCC Output-Oriented DEA model to assess the Relative Efficiency of the
Academic Departments in Gombe State University. The inputs are operating expenses,
admission rate and academic staff while the outputs are number of graduates produced from each
of the department. Data for 2013, 2014, 2016 and 2017 were collected from the Academic Office,
Bursary Unit and Establishment Division of the university. Furthermore, multivariable
correlation analysis was used to develop a relationship between input and output variables.
Results obtained from the analysis indicate that nine (52.94 percent) of the DMUs are efficient
while the remaining eight (47.06 percent) are inefficient. Based on that, reference sets were set
for those DMUs classified as inefficient. Potential (Target) improvement for each DMU was also
set as well as slack analysis. It is recommended that management should review their allocation
to DMU2, DMU3, DMU4, DMU11, DMU12, DMU13, DMU14 and DMU15 with a view to
improving their efficiencies.