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Title: Combining the assumptions of variable and constant returns to scale in the efficiency evaluation of secondary schools
Authors: Podinovski, Victor V.
Ismail, Ihsan
Bouzdine-Chameeva, Tatiana
Zhang, Wenjuan
Issue Date: 2014
Publisher: © Elsevier B.V.
Citation: PODINOVSKI, V. ... et al, 2014. Combining the assumptions of variable and constant returns to scale in the efficiency evaluation of secondary schools. European Journal of Operational Research, 239 (2), pp.504-513
Abstract: 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 socio-economic 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 HRS 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.
Description: This paper is closed access until 17th May 2016.
Version: Accepted for publication
DOI: 10.1016/j.ejor.2014.05.016
URI: https://dspace.lboro.ac.uk/2134/18162
Publisher Link: http://dx.doi.org/10.1016/j.ejor.2014.05.016
ISSN: 0377-2217
Appears in Collections:Published Articles (Business School)

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