Efficiency and equity matters in school performance The case of primary schools of the Prefecture of Florina, Greece

Session Information

11 SES 06 A, Quality Approach on Different Contexts

Paper Session

Time:
2010-08-26
10:30-12:00
Room:
U40 SALI 9, Metsätalo
Chair:
Ineta Luka

Contribution

Education plays a major role in modern society and in people’s lives. Children spend a considerable part of their early life in schooling, acquiring knowledge and skills that are useful later in their lives. Schooling does not end with the coming of age, but often continues through life, as many people change their occupation or complement their earlier studies. The concept of lifelong learning depicts this development. (Kirjavainen, 2009). Besides as education has been considered an important source of long-term economic growth and a key element in keeping up in the present day global competition, the educational expenditures have become a substantial proportion of the budgets of state and local governments. (Kang & Greene, 2002). These facts prove that education, and particularly it’s funding, is an important issue of nations is Central and Eastern Europe. (Oliveira, 2005). From the governments’ and the taxpayers’ point of view, it is not irrelevant how this spending is used. There are both equity and efficiency aspects that have to be taken into account in school performance. Equity of schooling emphasizes the importance of providing equal opportunities for education regardless of student’s family background, race or place of residence. (Kirjavainen, 2009). Thinking of students in terms of traditional categories of race, class and gender declines in usefulness; instead the intersection of categories as well as consideration of local and global contexts needs to be taken into account. According to Sherman’s (1988) definition of the efficiency as ‘the ability to produce the outputs or services with a minimum resource level required’, the focus of an educational system should rely on delivering good quality education minimizing the use of resources. Furthermore, Farrell (1957) who is credited with pioneering the measurement of productive efficiency recognized the importance of measuring the extent to which outputs can be increased through higher efficiency without using additional resources (inputs). As mentioned, a strong educational system is a driving force of economic prosperity and, hence, a question about what determines educational efficiency is of special importance. (Stupnytskyy, 2002). Confronting significant decline in student achievement with increasing educational expenditures, a number of studies have focused on the measurement of technical inefficiency and the identification of the sources of inefficiency in local public education. (Kang & Greene, 2002). Despite the generally accepted difficulties, school performance assessment can, among others, be used to set performance targets, to make resource allocation decisions, and to improve overall school performance (Fitzsimmons & Fitzsimmons, 1994). This study is trying to investigate the differences of the efficiency level in the primary schools of the Prefecture of Florina in Northern Greece, where the amount of immigrants is significantly high. More specifically the main aim of the study is to justify these differences according to the students’ origin, family socio-economic status and parental educational level.

Method

In this study efficiency differences, between the 20 primary schools that participated in the sample, were estimated with the non parametric method of data envelopment analysis (DEA), a mathematical programming technique used to evaluate the relative efficiency of homogeneous units. This efficiency evaluation derives from analyzing empirical observations obtained from decision-making units (DMUs), a term coined by Charnes et al. (1978) to define productive units which are characterized by common multiple outputs and common designated inputs. In this study, the output was the student’s achievement in the Third International Mathematics and Science Study (TIMSS) test in mathematics for 4th grade children, which was applied just in this case (TIMSS is conducted by the International Association for the Evaluation of Educational Achievement (IEA) and Greece doesn’t participate in its assessments, Olson, J et al.) and the inputs were the comprehensive school grade point average, the family socio-economical background and school resources.

Expected Outcomes

Data Envelopment Analysis, using students’ performance in TIMSS mathematical test, indicated that there were schools of high efficiency level mostly in rural areas, while schools of lower efficiency level were mainly located in urban areas. It should be mentioned that most of the schools of the sample were of equal equipment level. Furthermore, efficiency differences which revealed between the schools of the sample were mainly depended on students’ origin; with schools of lower efficiency level to be those with high percentages of immigrant students. Further results concerning parental educational level and family socio-economical status are still in process of data analysis; inputs that it is expected to also influence school efficiency.

References

Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research , 2, 429-444. Farrell, M. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society , 120, 253-281. Fitzsimmons, J., & Fitzsimmons, M. (1994). Service management for Competitive Advantage. New York: NY. Kang, B.-G., & Greene, K. V. (2002). The Effects of Monitoring and Competition on Public Education Outputs A Stochastic Frontier Approach. Public Finance Review , 30. Kirjavainen, T. (2009). Essays on the Efficiency of Schools and Student Achievement. Oliveira, C. (2005). Efficiency Issues in Higher Education. Social Policy in Central and Eastern Europe , 3-10. Olson, J., Martin, M., & Mullis, I. (2008). TIMSS 2007 Technical Report. Boston College: Chestnut Hill, MA: TIMSS & PIRLS International Study Center. Sherman, H. (1988). Service organization productivity management. The Society of Management Accountants of Canada. Ontario. Stupnytskyy, O. (2002). Secondary schools efficiency in the Czech Republic. Prague.

Author Information

University of Western Macedonia, GREECE
Florina
University of Western Macedonia
Department of Primary Education
Florina
University of Western Macedonia, GREECE, Greece

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