Evaluating The Efficiency Of Indonesia’s Secondary School Education
DOI:
https://doi.org/10.23887/jpi-undiksha.v7i1.13163Keywords:
School efficiency, stochastic frontier, data envelopmentAbstract
This study employs a Data Envelopment Analysis (DEA) to investigate secondary school efficiency and Stochastic Frontier Analysis (SFA) to examine determinants that affect average secondary school student score in Indonesia. Using the DEA, this study measures the efficiency of the region with regards to the average student score using various input indicators including teacher-to-student ratio, number of teachers holding the first-degree qualification, average secondary school expense, average duration to school and average distance to school, while output variable is the average student score for 33 regions in Indonesia. The findings suggest the average technical efficiency of secondary school in the region is 89 percent with the most efficient regions are Sumatera Utara, Kepulauan Bangka Belitung, DKI Jakarta, Jawa Timur, Bali, Sulawesi Barat, Maluku, Maluku Utara and Papua Barat. With the SFA, this study identifies factors that significantly affect the average student score in the region. The results suggest that the higher ratio of teacher-to-student and higher numbers of the teacher with the first-degree qualification significantly affect the average student score in the region. However, there is no evidence that average secondary school expense and school proximity (average duration and distance to school) significantly affect secondary school efficiency.
References
Agasisti, T. (2003). The Efficiency of Italian Secondary Schools and the Potential Role of Competition: A Data Envelopment Analysis using OECD-PISA 2006 Data. Education Economics, 21(5), 520–544.
Badri, M., Mohaidat, J., El Mourad, T. (2014). Measuring the Efficiency of Public Schools using Data Envelopment Analysis – An Exploratory Study. Journal of Education and Practice, 5(37), 215–233.
Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. SpringerNetherlands, 149–165. https://doi.org/10.1007/BF00158774
Bill, S. (1997). Data Envelopment Analysis: A Technique for Measuring the Efficiency of Government Service Delivery, Steering Committee for the Review of Commonwealth/State Service Provision,. Melbourne: Industry Commission.
Charnes, A., Cooper, W., Lewin, A., & Seiford, L. (1994). Data envelopment analysis: Theory, methodology and applications. (K. A. Publishers, Ed.). Boston: Industry Commission.
Charnes, A., & Cooper, W. W. (1962). Programming with linear fractional functionals. Naval Research Logistics Quarterly, 9(3), 181–186. https://doi.org/10.1002/nav.3800090303
Charnes, A., Cooper, W. W., Rhodes, E., Barry, S. P., Kirigia, D. G., Kamara, C., … Sambo, L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Dutta, S. (2012). Evaluating the Technical Efficiency of Elementary Education in India : An Application of DEA. IUP Journal of Applied Economics, XI(2), 31–47.
Haryadi, A. (2011). Analisis Efisiensi Teknis Bidang Pendidikan. Universitas Indonesia.
Hu, Y., Zhang, Z., & Liang, W. (2009). Efficiency of primary schools in Beijing , China : an evaluation by data envelopment analysis. International Journal of Educational Management, 23(1), 34–50. https://doi.org/10.1108/09513540910926411
Kumbhakar, S. C., Ghosh, S., & McGuckin, J. T. (1991). A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms. Journal of Business and Economic Statistics, 9(3), 279–286. https://doi.org/10.1080/07350015.1991.10509853
Muvawala, J., & Hisali, E. (2012). Technical efficiency in Uganda’s primary education system: Panel data evidence. African Statistical Journal, 15, 69–84.
Organisation for Economic Co-operation and Development (OECD), & The Asian Development Bank (ADB). (2015). Education in Indonesia: Rising to the Challenge. Paris: , OECD Publishing. https://doi.org/http://dx.doi.org/10.1787/9789264230750-en
Pascoe, S., Andersen, J. L., & De Wilde, J.-W. (2001). The impact of management regulation on the technical efficiency of vessels in the Dutch beam trawl fishery. European Review of Agricultural Economics, 28(2), 187–206.
Scippacercola, S., & D’Ambra, L. (2014). Estimating the Relative Efficiency of Secondary Schools by Stochastic Frontier Analysis. Procedia Economics and Finance, 17, 79–88. https://doi.org/10.1016/S2212-5671(14)00881-8
Stergiou, K. (2013). Evaluating the Efficiency of Primary School Education. In Proceedings in ARSA-Advanced Research in Scientific Areas (pp. 279–286).
UNESCO. (2005). EFA Global Monitoring Report 2005 – Education for All, The Quality Imperative. Paris: UNESCO. https://doi.org/10.1177/097318490500200211
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