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Technical efficiency, managerial efficiency and objective-setting in the educational system: an international comparison

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Journal of the Operational Research Society

Abstract

This study uses data envelopment analysis to analyse the efficiency of educational systems in 31 countries. This type of evaluation is of interest both when formulating a model for analysis and when applying such a model empirically. The efficiency of an educational system must take into account the students' economic and social background, as this is an environmental factor that decisively influences their performance. This is a highly important aspect and so we propose a specific evaluative process for it. Secondly, we evaluate the efficiency of educational systems in different countries, an analysis that has few forerunners since the majority of previous research has focused on analysing a single country. The results suggest that, in general, the most efficient management of educational systems can be found in those countries with a Communist past. They also suggest that there is a series of developed countries, which, judging by the results obtained, could increase their students' performance with even fewer resources than those currently allocated to their educational systems.

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References

  • Banker R and Morey R (1986a). Efficiency analysis for exogenously fixed inputs and outputs. Opns Res 34: 513–521.

    Article  Google Scholar 

  • Banker R and Morey R (1986b). The use of categorical variables in data envelopment analysis. Mngt Sci 32: 1613–1627.

    Article  Google Scholar 

  • Banker RD, Charnes A and Cooper WW (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Mngt Sci 30: 1078–1092.

    Article  Google Scholar 

  • Barrow MM (1991). Measuring local education authority performance: a frontier approach. Econ Educ Rev 10: 19–27.

    Article  Google Scholar 

  • Bessent A and Bessent E (1980). Determining the comparative efficiency of schools through data envelopment analysis. Educ Admin Q 16: 57–75.

    Article  Google Scholar 

  • Bessent A, Bessent W, Kennington J and Reagan B (1982). An application of mathematical programming to assess productivity in the Houston independent school district. Mngt Sci 28: 1355–1367.

    Article  Google Scholar 

  • Bifulco R and Bretschneider S (2001). Estimating school efficiency. A comparison of methods using simulated data. Econ Educ Rev 20: 417–429.

    Article  Google Scholar 

  • Brockett P and Golany B (1996). Using rank statistics for determining programmatic efficiency differences in data envelopment analysis. Mngt Sci 42: 466–472.

    Article  Google Scholar 

  • Charnes A, Cooper W and Rhodes E (1978). Measuring the efficiency of decision making units. Eur J Opl Res 2: 429–444.

    Article  Google Scholar 

  • Charnes A, Cooper W and Rhodes E (1981). Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through. Mngt Sci 27: 668–697.

    Article  Google Scholar 

  • Charnes A, Cooper W, Lewin A and Seiford L (1994). Data Envelopment Analysis: Theory Methodology and Application. Kluwer Academic Publishers: Boston.

    Book  Google Scholar 

  • Commission of the European Communities (2001). The concrete future objectives of education systems. Final Report from the Commission 59, Brussels.

  • Darling-Hammond L (1991). Accountability mechanisms in big city school systems. ERIC/CUE Digest, 17.

  • Delannoy F (1998). Reformas en gestión educacional en los 90s. Human Development Department, LCSHD Paper Series N. 21, The World Bank.

  • Färe R (1984). The existence of plant capacity. Int Econ Rev 25: 209–213.

    Article  Google Scholar 

  • Färe R, Grosskopf S and Kokkelenberg EC (1989a). Measuring plant capacity, utilization and technical change: a nonparametric approach. Int Econ Rev 30: 655–666.

    Article  Google Scholar 

  • Färe R, Grosskopf S and Lovell CAK (1985). The Measurement of Efficiency of Production. Kluwer-Nijhoff: Boston.

    Book  Google Scholar 

  • Färe R, Grosskopf S and Valdmanis V (1989b). Capacity, competition and efficiency in hospitals a nonparametric approach. J Product Anal 1: 123–138.

    Article  Google Scholar 

  • Fried HO, Schmidt S and Yaisawarng S (1999). Incorporating the operating environment into a nonparametric measure of technical efficiency. J Product Anal 12: 249–267.

    Article  Google Scholar 

  • Gould E, Lavy V and Paserman MD (2004). Immigrating to opportunity: estimating the effect of school quality using a natural experiment on Ethiopians in Israel. Q J Econ 119: 489–526.

    Article  Google Scholar 

  • Gray J (1981). A competitive edge: examination results and the probable limits of secondary school effectiveness. Educ Rev 33: 25–35.

    Article  Google Scholar 

  • Gray J, Jesson D and Jones B (1986). Towards a framework for interpreting schools' examination results. In: Rogers R (ed). Education and Social Class 1986. Falmer Press: London, pp 51–57.

    Google Scholar 

  • Hanushek EA and Kimko DD (2000). Schooling, labour force quality, and the growth of the nations. Am Econ Rev 90: 1184–1208.

    Article  Google Scholar 

  • Harris A (2000). What works in school improvement? Lessons from the field and future directions. Educ Res 42: 1–11.

    Article  Google Scholar 

  • Hoxby CM (1999). The productivity of schools and other local public goods producers. J Publ Econ 14: 1–30.

    Article  Google Scholar 

  • Jesson D, Mayston D and Smith P (1987). Performance assessment in the education sector: educational and economic perspectives. Oxford Rev Education 13: 249–266.

    Article  Google Scholar 

  • Johansen L (1968). Production functions and the concept of capacity. In: Forsund FR (ed). Collected Works of Leiv Johansen 1968. North-Holland: Amsterdam, pp 359–382.

    Google Scholar 

  • Kirjavainen T and Loikkanen HA (1998). Efficiency differences of Finnish senior secondary schools: an application of DEA and Tobit analysis. Econ Educ Rev 16: 303–311.

    Google Scholar 

  • Levin H and Kelley C (1994). Can education do it alone? Econ Educ Rev 13: 97–108.

    Article  Google Scholar 

  • Lozano-Vivas A, Pastor JT and Hasan I (2001). European bank performance beyond country Borders: What really matters? Eur Fin Rev 5: 141–165.

    Article  Google Scholar 

  • Lozano-Vivas A, Pastor JT and Pastor JM (2002). An efficiency comparison of European banking systems operating under different environmental conditions. J Product Anal 18: 59–77.

    Article  Google Scholar 

  • Ludwin W and Guthrie T (1989). Assessing productivity with data envelopment analysis. Publ Product Rev 12: 361–372.

    Article  Google Scholar 

  • Mancebón MJ and Bandrés E (1999). Efficiency evaluation in secondary schools: the key role of model specification and of ex post analysis of results. Educ Econ 7: 131–152.

    Article  Google Scholar 

  • Mancebón MJ and Mar Molinero C (2000). Performance in primary schools. J Opl Res Soc 51: 843–854.

    Article  Google Scholar 

  • Mayston DJ (2003). Measuring and managing educational performance. J Opl Res Soc 54: 679–691.

    Article  Google Scholar 

  • Mayston D and Jesson D (1988). Developing models of educational accountability. Oxford Rev Educ 14: 321–339.

    Article  Google Scholar 

  • Morrison DF (1990). Multivariate Statistical Methods. McGraw-Hill: New York.

    Google Scholar 

  • Muñiz M (2002). Separating managerial inefficiency and external conditions in data envelopment analysis. Eur J Opns Res 143: 625–643.

    Article  Google Scholar 

  • Orme C and Smith P (1996). The potential for endogeneity bias in data envelopment analysis. J Opl Res Soc 47: 73–83.

    Article  Google Scholar 

  • Pastor JT (1996). Translation invariance in data envelopment analysis: a generalization. Ann Opns Res 66: 93–102.

    Article  Google Scholar 

  • Ray SC (1991). Resource-use efficiency in public schools: a study of Connecticut data. Mngt Sci 37: 1620–1628.

    Article  Google Scholar 

  • Rico A (1996). Measuring outcome in schools. In: Smith P (ed). Measuring Outcome in the Public Sector 1996. Taylor and Francis, London, pp 118–134.

    Google Scholar 

  • Rivkin SG (2000). School desegregation, academic attainment, and earnings. J Human Resources 35: 333–346.

    Article  Google Scholar 

  • Ruggeiro J, Duncombe W and Miner J (1995). On the measurement and causes of technical inefficiency in local public services: with an application to public education. J Publ Adm Res Theory 5: 403–428.

    Google Scholar 

  • Sammons P, Nuttall D and Cuttance P (1993). Differential school effectiveness: results from a re-analysis of the Inner London Education Authority's Junior School Project data. Br Educ Res J 19: 381–405.

    Article  Google Scholar 

  • Sengupta JK and Sfeir R (1986). Production frontier estimates of scale in public schools in California. Econ Educ Rev 5: 297–307.

    Article  Google Scholar 

  • Silva-Portela MCA and Thanassoulis E (2001). Decomposing school and school-type efficiency. Eur J Opl Res 132: 357–373.

    Article  Google Scholar 

  • Stevens J (1986). Applied Multivariate Statistics for the Social Sciences. Erlbaumn: Hillsdale NJ.

    Google Scholar 

  • Thanassoulis E and Dunstan P (1994). Guiding schools to improved performance using Data Envelopment Analysis: an illustration with data from a local education authority. J Opl Res Soc 45: 1247–1262.

    Article  Google Scholar 

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Acknowledgements

This study is part of a broader research project financed by the Ministry of Science and Technology (ref. SEC2003-047707).

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Authors and Affiliations

  1. Universitat Autònoma de Barcelona, Barcelona, Spain

    V Giménez & D Prior

  2. Universidad Católica Silva Henríquez, Santiago, Chile

    C Thieme

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  1. V Giménez
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  2. D Prior
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  3. C Thieme
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Correspondence to V Giménez.

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Giménez, V., Prior, D. & Thieme, C. Technical efficiency, managerial efficiency and objective-setting in the educational system: an international comparison. J Oper Res Soc 58, 996–1007 (2007). https://doi.org/10.1057/palgrave.jors.2602213

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  • DOI: https://doi.org/10.1057/palgrave.jors.2602213

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