Selected Private Higher Educational Institutions In Metro Manila: A DEA Efficiency Measurement

Abstract

This paper measures the technical efficiency of 16 selected colleges and universities in Metro Manila, Philippines, using academic data for the SY 2001 2005. Using the data envelopment analysis (DEA), on average, schools posted 0.807 index score and need additional 19.3% efficiency growth to be efficient. Overall, there are top four efficient schools, with an average technical efficiency score between 99-100%, representing 25% of the sample. The slacks and efficient targets results have schools policy decision-making implications: Through DEA, schools have a reference set of actual values and accurate information for performance improvement on their resource allocation usage and output targets. The benchmarking characteristics of DEA may help schools administrators aspire for better performance by learning from other efficient schools.

Applying DEA sensitivity analysis to efficiency measurement of Vietnamese universities

“…For example, many studies have used the number of students or number of enrolments (headcount or full-time equivalent (FTE)) as a teaching output variable (e.g., McMillan & Datta, 1998;Avkiran, 2001;Abbott & Doucouliagos, 2003;Castano & Cabanda, 2007a, b;Bobe, 2009;Guzman & Cabanda, 2009;Cuenca, 2011;Lee, 2011;Agasisti & Lezzi, 2013). Ahn and Seiford (1993) suggested that headcount or FTE enrolment has been popularly used as a major output of institutions of higher learning (IHLs) not only because of data availability, but also because of its direct relation to state funding formulas.…”

“…The total income (in billion VND) includes total sources of income from budget, tuition, scientific research and technology transfer activities, and other. In fact, the incorporation of the total income as an output along with the student number was proposed by Castano and Cabanda (2007a, b), Guzman andCabanda (2009) andCuenca (2011). In short, the different variable sets used to measure the efficiency of Vietnamese doctorate-granting universities are summarized in Table 2.…”

Efficiency analysis of select state universities and colleges in Southern Philippines using data envelopment analysis

“…A current approach to school evaluation considers the school as production unit that uses multiple inputs (resources) and produces multiple outputs (outcomes). In such a setting, the definition and measurement of the inputs and outputs that reflects the operation of a school for evaluation is not an easy task (7) .…”

“…Studies on the efficiency of state universities and colleges (SUCs) in the Philippines have been made, and some of these used DEA in their evaluation. The paper by Cuenca (7) looked into the efficiency of SUCs in the whole Philippines using DEA by considering expenditure data as input parameter and number of enrolled students, number of graduates and total revenue for 78 SUCs in the country. The study identified that majority of the SUCs included in the study were less efficient based on the parameters considered.…”

“…This study focuses only on assessing the efficiency of educational institutions, specifically SUCs in Southern Philippines, a total of twenty-six (26) DMUs. The parameters considered in this study are based on local and foreign papers by various authors (1,2,(7)(8)(9) . Hence, the number of faculty members, PS+MOOE, estimated cost per student, and tuition fee are considered as the input parameters while the number of students enrolled, PRC rating, and number of graduates were considered as output parameters in this study.…”