Cómo citar
Eficiencia en las instituciones de educación superior públicas colombianas: una aplicación del análisis envolvente de datos. (2016). Civilizar, 16(30), 105-118. https://doi.org/10.22518/16578953.537
Resumen
En el presente artículo de investigación se realizó un estudio de eficiencia de las instituciones de educación superior (IES) públicas de Colombia durante el año 2011, mediante la metodología de análisis envolvente de datos utilizando el modelo de Charnes, Cooper y Rhodes (CCR), el modelo de Banker, Charnes y Cooper (BCC) y el modelo basado en holguras Slack Based Measure (SBM), orientados a salidas para determinar las eficiencias técnica, puramente técnica, de escala y de mezcla, respectivamente. La información con la que se llevó a cabo la investigación se tomó de las bases de datos del Ministerio de Educación Nacional de Colombia. En el análisis de resultados se determinó la magnitud en que deben ser mejorados los productos de las IES ineficientes y se identificó la posible causa de esta ineficiencia. Así mismo se realizó una clasificación (ranking) de las universidades mediante el modelo de súper-eficiencia no radial súper SBM.
Referencias
Agasisti, T., & Dal Bianco, A. (2009). Measuring efficiency of Higher Education institutions. International Journal of Management and Decision Making, 10(5-6), 443-465.
Agha, S., Kuhail, I., Nabi, N., Salem, M., & Ghanim, A. (2011). Assessment of academic departments efficiency using data envelopment analysis. Journal of Industrial Engineering and Management, 4(2), 301-325.
Banker, R., Charnes, A., & Cooper, W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
Caballero, R., Galache, T., Gómez, T., Molina, J.,& Torrico, A.(2001). Efficient assignment of financial resources within a university system. Study of the university of Malaga. European Journal of Operational Research, 133(2), 298-309.
Charnes, A., Cooper, W., & Rhodes E. (1978). Measuring the efficiency of decision making units. European Journal of
Operational Research, 2(6), 429-444.
Charnes, A., Cooper, W., & Rhodes, E. (1981). Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through. Management science, 27(6),668-697.
Chu Ng, Y., & Li, S. K. (2000). Measuring the research performance of Chinese higher education institutions: an application of data envelopment analysis. Education Economics, 8(2), 139-156.
Cooper, W., Seiford, L., & Tone, K. (2006). Introduction to data envelopment analysis and its uses: With DEA-solver software and references. Nueva York: Springer.
De Witte, K., & Rogge, N. (2011). Accounting for exogenous influences in performance evaluations of teachers. Economics of Education Review, 30(1), 641–653.
Dutta, S. (2012). Evaluating the Technical Efficiency of Elementary Education in India: An Application of DEA. The IUP Journal of Applied Economics, 11(2), 31-47.
Escobar-Pérez, J., & Cuervo-Martínez, A. (2008). Validez de contenido y juicio de expertos: una aproximación a su utilización. Avances en medición, 6, 27-36.
Fandel, G., & Gal, T. (2001). Redistribution of funds for teaching and research among universities: The case of North Rhine-Westphalia. European Journal of Operational Research, 130(1), 111-120.
Fukuyama, H., & Weber, W. L. (2002). Evaluating public school district performance via DEA gain functions. Journal of the Operational Research Society, 53(9),992-1003.
Gómez, J., & Mancebón, M. (2005). Algunas reflexiones metodológicas sobre la evaluación de la eficiencia productiva de las instituciones de educación superior. Ekonomiaz, 60(1), 140-165.
Grosskopf, S., & Moutray, C. (2001). Evaluating performance in Chicago public high schools in the wake of decentralization. Economics of Education Review, 20(1),1-14.
Hadi-Vencheh, A., Foroughi, A., & Soleimanidamaneh, M. (2008). A DEA model for resource allocation. Economic Modelling, 25(5), 983-993.
Jenkins, L., & Anderson, M. (2003). A multivariate statistical approach to reducing the number of variables in data envelopment analysis. European Journal of Operational Research, 147(1), 51-61.
Johnes, J. (2006). Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993. European Journal of Operational Research, 174(1), 443-456.
Katharaki, M., & Katharakis, G. (2010). A comparative assessment of Greek universities’ efficiency using quantitative analysis. International journal of educational research, 49(4), 115-128.
Kaoa, C., & Hungb, H. (2008). Efficiency analysis of university departments: An empirical study. Omega, 36(4), 653–664.
Korhonen, P., Taino, R., & Wallenius, J. (2001). Value efficiency analysis of academic research. European Journal of Operational Research, 130(1), 121-132.
Martínez, P. L., & Giménez, G. V. (septiembre,2001). Eficiencia en los costes en la universidad: una aplicación a los departamentos de la UAB. X Jornadas de la Asociación de Economía de la Educación, Murcia, España.
Mejía, J., Sánchez, P., & Visbal, D. (2006). Evaluación docente mediante BSC y DEA. Revista Educación en Ingeniería, 1(2),70-86.
Palomares, D., García, A., & Castro-Martínez, E. (2008). Evaluación de las instituciones de educación superior: revisión bibliográfica de sistema de indicadores. Revista Española de Documentación Científica, 31(2), 205-229.
Paradi, J., Asmild, M., & Simak, P. (2004). Using DEA and Worst Practice DEA in Credit Risk Evaluation. Journal of productivity analysis, 21(2), 153-165.
Pasiouras, F. (2008). Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, offbalance sheet activities, and international operations. Research in International Business and Finance, 22(1), 301-308.
Pastor, J., Lovell, C., & Tulkens, H. (2006). Evaluating the financial performance of bank branches. Annals of Operations Research, 145(1), 321–337.
Primorac, M., & Troskot, Z. (2005). Measuring the efficiency and productivity of the Croatian banks with Malmquist’s index of change of total factor productivity. Financial Theory and Practice, 29(4),309-325.
Psillaki, M., Tsolas, I. E., & Margaritis, D.(2010). Evaluation of credit risk based on firm performance. European Journal of Operational Research, 201(3), 873–881.
Restrepo, M., & Villegas J. (2007). Clasificación de grupos de investigación colombianos aplicando análisis envolvente de datos. Revista Facultad de Ingeniería Universidad de Antioquia, 42(1), 105-119.
Subhash, R. (1991). Resource-Use Efficiency in Public Schools: A Study of Connecticut Data. Management Science, 37(12),1620–1628.
Thanassoulis, E., Kortelainen, M., Johnes, G., & Johnes, J. (2011). Costs and efficiency of higher education institutions in England: a DEA analysis. Journal of the operational research society, 62(7), 1282-1297.
Toloo, M., & Nalchigar, S. (2009). A new integrated DEA model for finding most BCC-efficient DMU. Applied Mathematical Modelling, 33(1), 597-604.
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509.
Tone, K. (2002). A slacks-based measure of super- efficiency in data envelopment analysis. European Journal of Operational Research. 143, 32–41.
Tortosa-Ausina, E., Grifell-Tatjé, E., Armero, C., & Conesa, D. (2008). Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks. European Journal of Operational Research, 184(3), 1062–1084.
Agha, S., Kuhail, I., Nabi, N., Salem, M., & Ghanim, A. (2011). Assessment of academic departments efficiency using data envelopment analysis. Journal of Industrial Engineering and Management, 4(2), 301-325.
Banker, R., Charnes, A., & Cooper, W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
Caballero, R., Galache, T., Gómez, T., Molina, J.,& Torrico, A.(2001). Efficient assignment of financial resources within a university system. Study of the university of Malaga. European Journal of Operational Research, 133(2), 298-309.
Charnes, A., Cooper, W., & Rhodes E. (1978). Measuring the efficiency of decision making units. European Journal of
Operational Research, 2(6), 429-444.
Charnes, A., Cooper, W., & Rhodes, E. (1981). Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through. Management science, 27(6),668-697.
Chu Ng, Y., & Li, S. K. (2000). Measuring the research performance of Chinese higher education institutions: an application of data envelopment analysis. Education Economics, 8(2), 139-156.
Cooper, W., Seiford, L., & Tone, K. (2006). Introduction to data envelopment analysis and its uses: With DEA-solver software and references. Nueva York: Springer.
De Witte, K., & Rogge, N. (2011). Accounting for exogenous influences in performance evaluations of teachers. Economics of Education Review, 30(1), 641–653.
Dutta, S. (2012). Evaluating the Technical Efficiency of Elementary Education in India: An Application of DEA. The IUP Journal of Applied Economics, 11(2), 31-47.
Escobar-Pérez, J., & Cuervo-Martínez, A. (2008). Validez de contenido y juicio de expertos: una aproximación a su utilización. Avances en medición, 6, 27-36.
Fandel, G., & Gal, T. (2001). Redistribution of funds for teaching and research among universities: The case of North Rhine-Westphalia. European Journal of Operational Research, 130(1), 111-120.
Fukuyama, H., & Weber, W. L. (2002). Evaluating public school district performance via DEA gain functions. Journal of the Operational Research Society, 53(9),992-1003.
Gómez, J., & Mancebón, M. (2005). Algunas reflexiones metodológicas sobre la evaluación de la eficiencia productiva de las instituciones de educación superior. Ekonomiaz, 60(1), 140-165.
Grosskopf, S., & Moutray, C. (2001). Evaluating performance in Chicago public high schools in the wake of decentralization. Economics of Education Review, 20(1),1-14.
Hadi-Vencheh, A., Foroughi, A., & Soleimanidamaneh, M. (2008). A DEA model for resource allocation. Economic Modelling, 25(5), 983-993.
Jenkins, L., & Anderson, M. (2003). A multivariate statistical approach to reducing the number of variables in data envelopment analysis. European Journal of Operational Research, 147(1), 51-61.
Johnes, J. (2006). Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993. European Journal of Operational Research, 174(1), 443-456.
Katharaki, M., & Katharakis, G. (2010). A comparative assessment of Greek universities’ efficiency using quantitative analysis. International journal of educational research, 49(4), 115-128.
Kaoa, C., & Hungb, H. (2008). Efficiency analysis of university departments: An empirical study. Omega, 36(4), 653–664.
Korhonen, P., Taino, R., & Wallenius, J. (2001). Value efficiency analysis of academic research. European Journal of Operational Research, 130(1), 121-132.
Martínez, P. L., & Giménez, G. V. (septiembre,2001). Eficiencia en los costes en la universidad: una aplicación a los departamentos de la UAB. X Jornadas de la Asociación de Economía de la Educación, Murcia, España.
Mejía, J., Sánchez, P., & Visbal, D. (2006). Evaluación docente mediante BSC y DEA. Revista Educación en Ingeniería, 1(2),70-86.
Palomares, D., García, A., & Castro-Martínez, E. (2008). Evaluación de las instituciones de educación superior: revisión bibliográfica de sistema de indicadores. Revista Española de Documentación Científica, 31(2), 205-229.
Paradi, J., Asmild, M., & Simak, P. (2004). Using DEA and Worst Practice DEA in Credit Risk Evaluation. Journal of productivity analysis, 21(2), 153-165.
Pasiouras, F. (2008). Estimating the technical and scale efficiency of Greek commercial banks: The impact of credit risk, offbalance sheet activities, and international operations. Research in International Business and Finance, 22(1), 301-308.
Pastor, J., Lovell, C., & Tulkens, H. (2006). Evaluating the financial performance of bank branches. Annals of Operations Research, 145(1), 321–337.
Primorac, M., & Troskot, Z. (2005). Measuring the efficiency and productivity of the Croatian banks with Malmquist’s index of change of total factor productivity. Financial Theory and Practice, 29(4),309-325.
Psillaki, M., Tsolas, I. E., & Margaritis, D.(2010). Evaluation of credit risk based on firm performance. European Journal of Operational Research, 201(3), 873–881.
Restrepo, M., & Villegas J. (2007). Clasificación de grupos de investigación colombianos aplicando análisis envolvente de datos. Revista Facultad de Ingeniería Universidad de Antioquia, 42(1), 105-119.
Subhash, R. (1991). Resource-Use Efficiency in Public Schools: A Study of Connecticut Data. Management Science, 37(12),1620–1628.
Thanassoulis, E., Kortelainen, M., Johnes, G., & Johnes, J. (2011). Costs and efficiency of higher education institutions in England: a DEA analysis. Journal of the operational research society, 62(7), 1282-1297.
Toloo, M., & Nalchigar, S. (2009). A new integrated DEA model for finding most BCC-efficient DMU. Applied Mathematical Modelling, 33(1), 597-604.
Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509.
Tone, K. (2002). A slacks-based measure of super- efficiency in data envelopment analysis. European Journal of Operational Research. 143, 32–41.
Tortosa-Ausina, E., Grifell-Tatjé, E., Armero, C., & Conesa, D. (2008). Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks. European Journal of Operational Research, 184(3), 1062–1084.
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