Incorporación del fracaso académico en la evaluación de los institutos de educación secundariaun estudio sobre centros que imparten formación profesional

  1. Sala Garrido, Ramón 1
  2. Molinos Senante, María 2
  3. Montaner Andrés, Andrés 3
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

  2. 2 Universidad Catolica (Chile)
  3. 3 UNED (Albacete)
Mostrar afiliaciones +
Revista:
Anales de ASEPUMA

ISSN: 2171-892X

Año de publicación: 2015

Número: 23

Tipo: Artículo

DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Anales de ASEPUMA

Resumen

Las restricciones presupuestarias han puesto de manifiesto la necesidad de mejorar la eficiencia en el uso de los recursos para financiar la educación. Sin embargo, el reto al que se enfrentan las autoridades educativas no es sólo mejorar la eficiencia desde una perspectiva financiera, sino también desde un punto de vista académico. En este trabajo se investiga el papel del fracaso académico en la evaluación de la eficiencia de los centros que imparten estudios de formación profesional. Para lograr esto, la evaluación de la eficiencia se calcula mediante el empleo del enfoque de análisis envolvente de datos (DEA) introduciendo el fracaso académico como un output no deseado. Los resultados sugieren que la no consideración de los outputs no deseados en la evaluación de la eficiencia de los centros que imparten formación profesional aumentan los índices de eficiencia de todas las unidades evaluadas mientras que estos disminuyen cuando se considera el fracaso escolar. Desde una perspectiva política, se pone de relieve que los esfuerzos adicionales para reducir las tasas de alumnos que repiten los estudios o abandonan son esenciales. Por lo tanto, la metodología y aplicación empírica de este estudio son de gran interés tanto para las autoridades educativas como para los directores responsables de los centros educativos que imparten formación profesional..

Referencias bibliográficas

  • Abbott, M., Doucouliagos, C. (2003). The efficiency of Australian universities: A data envelopment analysis. Economics of Education Review, 22(1), 89–97.
  • Abbott, M., Doucouliagos, C. (2009). Competition and efficiency: Overseas students and technical efficiency in Australian and New Zealand universities. Education Economics, 17 (1), 31-57.
  • Agasisti, T., Bonomi, F. (2014). Benchmarking universities' efficiency indicators in the presence of internal heterogeneity. Studies in Higher Education, In Press.
  • Agasisti, T., Pérez Esparrells, C. (2009). Comparing efficiency in a crosscountry perspective: The case of Italian and Spanish state universities. Higher Education, 59 (1), 85-103.
  • Avkiran, N. (2001). Investigating technical and scale efficiency of Australian Universities through data envelopment analysis. Socio Economic Planning Sciences, 35, 57–80.
  • Banker, R. D., Charnes, A., Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30, 1078–1092.
  • Bayraktar, E., Tatoglu, E., Zaim, S. (2013). Measuring the relative efficiency of quality management practices in Turkish public and private universities. Journal of the Operational Research Society, 64 (12), 1810-1830.
  • Bilsel, M., Davutyan, N. (2011). Hospital efficiency with risk adjusted mortality as undesirable output: the Turkish case. Annals of Operations Research, InPress
  • Blackburn, V., Brennan, S., Ruggiero, J. (2014). Measuring efficiency in Australian Schools: A preliminary analysis. Socio-Economic Planning Sciences, 48 (1), 4-9.
  • Casu, B., Thanassoulis, E. (2006). Evaluating cost efficiency in central administrative services in UK universities. Omega, 34 (5), 417-426.
  • Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2, 429–444.
  • Charnes, A., Rousseau, J.J. Semple, J.H. (1996). Sensitivity and stability of efficiency classifications in Data Envelopment Analysis. Journal of Productivity Analysis, 7 (1), 5-18.
  • Chung, Y.H., Färe, R., Grosskopf, S. (1997). Productivity and undesirable outputs: A directional distance function approach. Journal of Environmental Management, 51 (3), 229-240.
  • Coelli, T. (1996). Assessing the performance of Australian universities using data envelopment analysis. Centre for science and productivity analysis. NSW: University of New England.
  • Coelli, T.J., Prasada Rao, D.S., O'Donnell, C.J., Battese, G.E. (2005). An Introduction to Efficiency and Productivity Analysis. Springer. USA.
  • Cooper, W.W., Seiford, L.M., TONE, K. (2006). Introduction to Data Envelopment Analysis and its uses. Springer. USA.
  • Egilmez, G., Kucukvar, M, Tatari, O. (2013). Sustainability assessment of U.S. manufacturing sectors: and economic input output-based frontier approach. Journal of Cleaner Production, 53, 91-102.
  • Färe, R., Grosskopf, S., Lovell, C.A.K. (1994). Production Frontiers. Cambridge University Press, Cambridge.
  • Flegg, A. T., Allen, D. O., Field, K., Thurlow, T. W. (2004). Measuring the efficiency and productivity of British universities: An application of DEA and the Malmquist approach. Education Economics, 12(3), 231–249.
  • Grosskopf, S. (1986). The role of the reference technology in measuring production efficiency. The Economic Journal, 96, 499-513
  • Haelermans, C., Ruggiero, J. (2013). Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools. European Journal of Operational Research, 227 (1), 174-181.
  • Hailu, A., Veeman, T.S. (2001). Non-parametric productivity analysis with undesirable outputs: An application to the Canadian pulp and paper industry. American Journal of Agricultural Economics, 83 (3), 605-616.
  • Hernández Sancho, F., Molinos Senante, M., Sala Garrido, R., Del Saz Salazar, S. (2012). Document Tariffs and efficient performance by water suppliers: An empirical approach. Water Policy, 14 (5), 854-864.
  • Hu, H.-H., Qi, Q., Yang, C.-H. (2012). Evaluation of China's regional hospital efficiency: DEA approach with undesirable output. Journal of the Operational Research Society, 63 (6), 715-725.
  • Kao, C.H., Hung, T., (2008). Efficiency analysis of university departments: An empirical study. Omega, 36, 653–664.
  • Kantabutra, S., TANG, J.C.S. (2010). Efficiency Analysis of Public Universities in Thailand. Tertiary Education and Management, 16 (1), 15-33.
  • Katharaki, M., Katharakis, G. (2010). A comparative assessment of Greek universities' efficiency using quantitative analysis. International Journal of Educational Research, 49 (4-5), 115-128.
  • Kempkes, G., Pohl, C. (2010). The efficiency of German universities some evidence from nonparametric and parametric methods. Applied Economics, 42 (16), 2063-2079.
  • Koksal, G., Nalcaci, B., (2006). The relative efficiency of departments at a Turkish engineering college: A data envelopment analysis. Higher Education 51, 173–189.
  • Kounetas, K., Anastasiou, A., Mitropoulos, P., Mitropoulos, I. (2011). Departmental efficiency differences within a Greek University: Aapplication of a DEA and Tobit analysis. International Transactions in OperationalResearch, 18 (5), 545-559.
  • Lee, T., Yeo, G.-T., THAI, V.V. (2014). Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach. Transport Policy,33, 82-88.
  • Managi, S. (2003). Luenberger and Malmquist productivity indices in Japan, 1955-1995. Applied Economics Letters, 10 (9), 581-584.
  • Mancebón, M.-J., Calero, J., Choi, Á., Ximénez de Embún, D.P. (2012). The efficiency of public and publicly subsidized high schools in Spain: Evidence from PISA-2006. Journal of the Operational Research Society, 63 (11),1516-1533.
  • Molinos Senante, M., Hernández Sancho, F., Mocholí Arce, M., Sala Garrido, R. (2014). Economic and environmental performance of wastewater treatment plants: Potential reductions in greenhouse gases emissions. Resource and Energy Economics, 38, 125-140.
  • Moreno, A.A., Tadepalli, R., (2002). Assessing academic department efficiency at a public university. Managerial and Decision Economics, 23, 385–397.
  • Podinovski, V.V., Ismail, I., Bouzdine Chameeva, T., Zhang, W. (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), 504-513.
  • Portela, M.C.S., Camanho, A.S., Borges, D. (2012). Performance assessment of secondary schools: The snapshot of a country taken by DEA. Journal of the Operational Research Society, 63 (8), 1098-1115.
  • Sabates, R., Salter, E., Obolenskaya, P. (2012). The social benefits of initial vocational education and training for individuals in Europe. Journal of Vocational Education and Training, 64 (3), 233-244.
  • Sala Garrido, R., Hernández Sancho, F., Molinos Senante, M. (2012). Assessing the efficiency of wastewater treatment plants in an uncertain context: A DEA with tolerances approach. Environmental Science and Policy, 18,34-44
  • Seiford, L.M., ZHU, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142(1), 16-20.
  • Shephard, R.W. (1970). Theory of cost and production functions. Princeton University Press, Princeton.
  • Soblechero, M.V.L., Gaya, C.G., Ramírez, J.J.H. (2014). A comparative study of classroom and online distance modes of official vocational education and training. PLoS ONE, 9 (5), e96052.
  • Souto Otero, M., Bjorn Ure, O.B. (2012). The coherence of vocational education and training in Norway and Spain: National traditions and the reshaping of VET governance in hybrid VET systems. Compare, 42 (1), 91-111.
  • Wang, K., Huang, W., Wu, J., Liu, Y.-N. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, 44,5-20.
  • Worthington, A.C. (2001). An empirical survey of frontier efficiencymeasurement techniques in education. Education Economics, 9(3), 245–268.
  • Worthington, A., LEE, B. I. (2008). Efficiency, technology and productivity change in Australian Universities, 1998–2003. Economics of Education Review, 27, 285–298.
  • Yazçayir, N., Yagci, E. (2009). Vocational and technical education in Eu nations and Turkey. Procedia - Social and Behavioral Sciences, 1 (1), 138-142.
  • Zoghbi, A.C., Rocha, F., Mattos, E. (2013). Education production efficiency: Evidence from Brazilian universities. Economic Modelling, 31 (1), 94-103.
Fuente de los datos: Dialnet