Loughborough University
Browse
2014_EJOR_HRS.pdf (192.68 kB)

Combining the assumptions of variable and constant returns to scale in the efficiency evaluation of secondary schools

Download (192.68 kB)
journal contribution
posted on 2015-07-07, 09:09 authored by Victor PodinovskiVictor Podinovski, Ihsan Ismail, Tatiana Bouzdine-Chameeva, Wenjuan Zhang
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.

History

School

  • Business and Economics

Department

  • Business

Published in

European Journal of Operational Research

Volume

239

Issue

2

Pages

504 - 513

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

Publisher

© Elsevier B.V.

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

This paper was accepted for publication in the journal European Journal of Operational Research and the definitive published version is available at http://dx.doi.org/10.1016/j.ejor.2014.05.016

ISSN

0377-2217

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC