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Technological Developments in Education and Automation pp 1–5Cite as

Performance-Based Measurement for Thai Educational Organization: A DEA Management Model

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Abstract

This study employs the Data Envelopment Analysis (DEA) technique, an efficiency model, to measure public schools in Thailand. Data came from 455 public upper secondary schools in Northern Thailand. The results reveal that the schools mostly operate inefficiently. To ascertain the efficiency measures, sensitivity analysis reveals the robustness of the resulting efficiency measures on efficiency. Policy to improve school efficiency may thus consider using efficiency-based analysis for measuring school performance to identify which school will yield higher marginal returns to prioritize inefficient schools for treatment, in addition to allocating budget based on block grants or enrolments.

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Reference

  1. Y.C. Cheng, and T. Townsend, Educational change and development in the Asia Pacific region: Trends and issues. In T. Townsend & Y. C. Cheng (Eds.), Education change and development in the Asia Pacific: Challenges for the future (pp.318-343). Lisse, Netherlands: Swets & Zeitlinger, 2000.

    Google Scholar 

  2. P. Hallinger, “Educational change in Southeast Asia: The challenge of creating learning systems.” J. of Ed. Admin., vol. 36, no. 5, pp. 492-509, 1998.

    Article  Google Scholar 

  3. A. Booth, “Education and economic development in Southeast Asia: Myths and realities.” ASEAN Econ. Bul., vol. 16, no. 3, pp. 290-306, 1999.

    Article  Google Scholar 

  4. OEC, Education in Thailand 2004, Bangkok: Amarin Printing and Publishing. 2004.

    Google Scholar 

  5. B. Watcharasriroj, and J.C.S. Tang, “The effect of size and information technology on hospital efficiency.” J. of Hi. Tech. Manage. Res., vol. 15, no. 1, pp. 1-16, 2004.

    Article  Google Scholar 

  6. R. Manandhar, and J.C.S. Tang, “The evaluation of bank branch performance using data envelopment analysis: A framework.” J. of Hi. Tech. Manage. Res., vol.13, no. 1, pp. 1-17, 2002.

    Article  Google Scholar 

  7. B. Mante, and G. O’Brien, “Efficiency measurement of Australian public sector organizations: The case of state secondary schools in Victoria.” J. of Ed. Admin., vol. 40, no. 3, pp. 274-296, 2002.

    Article  Google Scholar 

  8. A. Charnes, W.W. Cooper, and E. Rhodes, “Measuring the efficiency of decision making units.” Eur. J. of Oper. R., vol. 2, pp. 429-444, 1978.

    Article  Google Scholar 

  9. S. Bradley, G. Johnes, and J. Millington, “The effect of competition on the efficiency of secondary schools in England.” Eur. J. of Oper. R., vol. 135, no. 3, pp. 545-568, 2001.

    Article  Google Scholar 

  10. T. Kirjavainen, and H.A. Loikkanen, “Efficiency differences of Finnish senior secondary schools: An application of DEA and Tobit analysis.” Econ. of Ed. Rev., vol. 17, no. 4, pp. 377–394, 1998.

    Article  Google Scholar 

  11. M.J. Mancebόn, and E. Bandrés, “Efficiency evaluation in secondary schools: The key role of model specification and of ex post analysis of results.” Ed. Econ., vol. 7, no. 2, pp. 131-152, 1999.

    Article  Google Scholar 

  12. A.C. Soteriou, E. Karahanna, C. Papanastasiou, and M.S. Diakourakis, “Using DEA to evaluate the efficiency of secondary schools: The case of Cyprus.” Inter. J. of Ed. Manage., vol. 12, no. 2, pp 65-73, 1998.

    Article  Google Scholar 

  13. S. Kantabutra, Assessment of size effects on efficiency, a proceeding paper for the 3rd International Conference on Engineering Education, Instructional Technology, Assessment, and E-learning (EIAE 07), Bridgeport, USA, 2007.

    Google Scholar 

  14. S. Kantabutra, and J.C.S. Tang, “Urban-rural and size effects on school efficiency: The case of Northern Thailand.” Lead. and Pol. in Sch., vol. 5, no. 4, pp. 355-377, 2006.

    Article  Google Scholar 

  15. S. Kantabutra, and S. Kantabutra, Investigating relationships between shared vision and public school performance: A proposed model, a proceeding paper for International Conference on Making Educational Reform Happen: Learning from the Asian Experience and Comparative Perspectives, September 2004, Bangkok, Thailand, 2004.

    Google Scholar 

  16. S. Kantabutra, and S. Kantabutra, Heightening public school performance through vision-based leadership: A Thai perspective, a proceeding paper for International Conference on Quality Educational Leadership: A Partnership of East and West, November 2005, Bangkok, Thailand, 2005.

    Google Scholar 

  17. S. Kantabutra, and S. Kantabutra, Relating shared vision components to Thai public school performance, a proceeding paper for International Conference on Powerful Visions: Do they work in Asia, the 5th Annual Conference of the Asia Academy of Management, December 2006, Tokyo, Japan, 2006.

    Google Scholar 

  18. F. Engert, “The reporting of school district efficiency: The adequacy of ratio measures.” J. of Public Budg., Acc. & Fin. Manage., vol. 8, no. 2, pp. 247-271, 1996.

    Google Scholar 

  19. P.J. de Lancer, “Decision-making tools for public productivity improvement: A comparison of DEA to cost-benefit and regression analyses. J. of Pub. Bud. Acc. and Fin. Ma., vol. 12, no. 4, pp. 625-646, 2000.

    Google Scholar 

  20. D.F. Primont, and Domazlicky, B. “Student achievement and efficiency in Missouri schools and the No Child Left Behind Act.”, Econ. of Ed. Rev., vol. 25, no. 1, pp. 77-90, 2006.

    Article  Google Scholar 

  21. S. Waldo, “On the use of student data in efficiency analysis-Technical efficiency in Swedish upper secondary school.” Econ. of Ed. Rev., vol. 26, no. 2, pp. 173-185, 2007.

    Article  Google Scholar 

  22. T. Coelli, D.S.P Rao, and G.E. Battese, An introduction to efficiency and productivity analysis. Boston: Kluwer, 1998.

    Google Scholar 

  23. P. Chalos, and J. Cherian, “An application of data envelopment analysis to public sector performance measurement and accountability.” J. of Acc. and Pub.Pol., vol. 14, pp. 143-160, 1995.

    Article  Google Scholar 

  24. W.J Fowler, Jr., and H.J. Walberg, “School size, characteristics, and outcomes.” Ed. Evalu. and Pol. Ana., vol. 13, no. 2, pp. 189-202, 1991.

    Google Scholar 

  25. M.A. Muñiz, “Separating managerial inefficiency and external conditions in data envelopment analysis.” Eur. J. of Oper. R., vol. 143, pp. 625-643, 2002.

    Article  Google Scholar 

  26. J.A. Ganley, and J.S. Cubbin, Public sector efficiency measurement. Applications of data envelopment analysis. North-Holland, Amsterdam, 1992.

    Google Scholar 

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Acknowledgment

Author would like to thank Mr. Burin Kantabutra for the support to edit and share his time dedication and his crucial insights throughout this research works.

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Authors and Affiliations

  1. School of Management, Mae Fah Luang University, Chiangrai, Thailand

    Sangchan Kantabutra

Authors
  1. Sangchan Kantabutra
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Correspondence to Sangchan Kantabutra .

Editor information

Editors and Affiliations

  1. Dept. Civil & Environmental Engineering, Polytechnic University, Jay Street 333, Brooklyn, 11201, U.S.A.

    Magued Iskander

  2. Dept. Civil & Environmental Engineering, Polytechnic University, Jay Street 333, Brooklyn, 11201, U.S.A.

    Vikram Kapila

  3. Old Dominion University, Monarch Way 4111, Norfolk, 23508, U.S.A.

    Mohammad A. Karim

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© 2010 Springer Science+Business Media B.V.

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Kantabutra, S. (2010). Performance-Based Measurement for Thai Educational Organization: A DEA Management Model. In: Iskander, M., Kapila, V., Karim, M. (eds) Technological Developments in Education and Automation. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3656-8_1

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