Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 239, Issue 2, Pages 504-513Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2014.05.016
Keywords
Data envelopment analysis; Secondary education; Schools; Hybrid returns to scale; Malmquist index
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Our paper reports on the use of data envelopment analysis (DEA) for the assessment of performance of secondary schools in Malaysia during the implementation of the policy of teaching and learning mathematics and science subjects in the English language (PPSMI). The novelty of our application is that it makes use of the hybrid returns-to-scale (HRS) DEA model. This combines the assumption of constant returns to scale with respect to quantity inputs and outputs (teaching provision and students) and variable returns to scale (VRS) with respect to quality factors (attainment levels on entry and exit) and socioeconomic status of student families. We argue that the HRS model is a better-informed model than the conventional VRS model in the described application. Because the MRS technology is larger than the VRS technology, the new model provides a tangibly better discrimination on efficiency than could be obtained by the VRS model. To assess the productivity change of secondary schools over the years surrounding the introduction of the PPSMI policy, we adapt the Malmquist productivity index and its decomposition to the case of HRS model. (C) 2014 Elsevier B.V. All rights reserved.
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