Análisis de la eficiencia técnica y su relación con los resultados de la evaluación de desempeño en una Universidad chilena
Analysis of Technical Efficiency and its Relation with Performance Evaluation Results in a Chilean University
Análise da eficiência técnica e a sua relação com os resultados da avaliação de desempenho em uma universidade chilena
DOI:
https://doi.org/10.15446/innovar.v24n54.46720Palabras clave:
eficiencia, análisis envolvente de datos, DEA, educación superior, desempeño universitario (es)Efficiency, Data Envelopment Analysis (DEA), higher education, university performance (en)
Eficiência, análise envolvente de dados, DEA, ensino superior, desempenho universitário (pt)
La preocupación por el uso eficiente de los recursos y la maximización de la contribución a la sociedad, de parte de las instituciones de educación superior, está cada vez más presente en el debate nacional. Así, el objetivo de esta investigación se centra en la medición de la eficiencia tecnica de las Unidades Academicas de una Universidad chilena utilizando el metodo de Análisis Envolvente de Datos (DEA). Se establece un marco metodológico que se adapta a la disponibilidad de información y a la tecnología productiva de la institución, aplicando procedimientos que permiten la reducción de variables a una cantidad apropiada para que los resultados del DEA sean confiables, y condiciones de borde para atender a los objetivos supuestos para la Universidad y no sólo a los de sus Unidades. Además, se plantean cursos de acción para la mejora de la eficiencia. Luego, los resultados se contrastan con el instrumento de evaluación de actividad academica que en la actualidad posee la Universidad. Como conclusión se identifica discordancia entre ambos resultados, estableciendose las modificaciones que se debieran hacer por parte de la Universidad en sus instrumentos de evaluación hacia la mejora de la eficiencia, lo que es aplicable a otras instituciones de educación superior chilenas y latinoamericanas.
Descargas
Citas
Abbott, M., & Doucouliagos, C. (2003). The efficiency of Australian universities: a data envelopment analysis. Economics of Education Review 22, 89-97.
Agasisti, T., Catalano, G., Landoni, P. & Verganti, R. (2012). Evaluating the performance of academic departments: an analysis of research-related output efficiency. Research Evaluation 21(1), 2-14.
Agasisti, T., Dal Bianco, A., Landoni, P., Sala, A. & Salerno, M. (2011). Evaluating the Efficiency of Research in Academic Departments: an Empirical Analysis in an Italian Region. Higher Education Quarterly 65(3), 267-289.
Alexander, W. R. J., Haug, A. A. & Jaforullah, M. (2010). A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools. Journal of Productivity Analysis 34(2), 99-110.
Álvarez Pinilla, A. (2002). La medición de la eficiencia y la productividad. Madrid: Ediciones Pirámide, S.A.
Andersen, P. & Petersen, N. C. (1993). A Procedure for Ranking Efficient Units in Data Envelopment Analysis. Management Science 39(10), 1261-1264.
Anderson, T. R., Daim, T. U., & Lavoie, F. F. (2007). Measuring the efficiency of university technology transfer. Technovation 27(5), 306-318.
Avkiran, N. K. (1999). Productivity Analysis in the Service Sector with Data Envelopment Analysis. Camira: N.K. Avkiran.
Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis. Socio Economic Planning Sciences 35(1), 57-80.
Banker, R. D. & Natarajan, R. (2004). Statistical Tests Based on DEA Efficiency Scores. En Handbook on Data Envelopment Analysis (págs. 299-321). Norwell, MA: Kluwer Academic Publishers.
Banker, R. D. & Thrall, R. M. (1992). Estimation of returns to scale using Data Envelopment Analysis. European Journal of Operational Research 62(1), 74-84.
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.
Banker, R., Charnes, A., Cooper, W., Swarts, J. & Thomas, D. (1989). An introduction to data envelopment analysis with some of its models and their uses. Research in Governmental and Nonprofit Accounting 5, 125-163.
Bougnol, M. L. & Dulá, J. (2006). Validating DEA as a ranking tool: An application of DEA to assess performance in higher education. Annals of Operations Research 145(1), 339-365.
Boussofiane, A., Dyson, R. G. & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operational Research 52(1), 1-15.
Carrington, R., Coelli, T. & Rao, D. S. (2005). The performance of australian universities: conceptual issues and preliminary results. Economic Papers 24(2), 145-163.
Celik, O. & Ecer, A. (2009). Efficiency in accounting education: evidence from Turkish Universities. Critical Perspectives on Accounting 20(5), 614-634.
Chao, G. H., Hsu, M. K. & James, M. L. (2009). An efficiency comparison of MBA programs: top 10 versus non-top 10. Journal of Education for Business 84(5), 269-274.
Charnes, A., Cooper, W. & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research 2, 429-444.
Charnes, A., Cooper, W. & Rhodes, E. (1979). Short communication: Measuring efficiency of decisionmaking units. European Journal of Operational Research 3(4), 339.
Charnes, A., Cooper, W., Lewin, A. & Seiford, L. (1994). Data envelopment analysis: theory, methodology, and application. Boston: Kluwer Academic Publishers.
Coelli, T., Prasada Rao, D. S. & Battese, G. E. (1998). An Introduction to Efficiency and Productivity Analysis. Boston: Kluwer Academic Publishers.
Colbert, A., Levary, R. R. & Shaner, M. C. (2000). Determining the relative efficiency of MBA programs using DEA. European Journal of Operational Research 125(3), 656-669.
Colin Glass, J., McCallion, G., McKillop, D. G., Rasaratnam, S. & Stringer, K. S. (2006). Implications of variant efficiency measures for policy evaluations in UK higher education. Socio-Economic Planning Sciences 40(2), 119-142.
Dyson, R., Allen, R., Camanho, A., Podinovski, V., Sarrico, C. & Shale, E. (2001). Pitfalls and protocols in DEA. European Journal of Operational Research 132(2), 245-259.
Eckles, J. (2010). Evaluating the Efficiency of Top Liberal Arts Colleges. Research in Higher Education 51 (3), 266-293.
Eff, E. A., Klein, C. & Kyle, R. (2012). Identifying the Best Buys in U.S. Higher Education. Research in Higher Education 53(8), 860-887.
El-Mahgary, S. & Lahdelma, R. (1995). Data envelopment analysis: Visualizing the results. European Journal of Operational Research 83(3), 700-710.
Emrouznejad, A. & De Witte, K. (2010). COOPER-framework: A unified process for non-parametric projects. European Journal of Operational Research 207, 1573-1586.
Farrell, M. (1957). The Measurement of Productive Efficiency. Jo urnal of the Royal Statistical Society, Series A, 120, Part III, 253-290.
Fernández, P. M. (2005). Metodologia de aplicación del Análisis Envolvente de Datos: Evaluación de la eficiencia técnica en la Universidad de Santiago de Compostela. Eduga: revista galega do ensino 46, 737-746.
Fernando, B. I. & Cabanda, E. C. (2007). Measuring efficiency and productive performance of colleges at the university of Santo Tomas: a nonparametric approach. International Transactions in Operational Research, 217-229.
Friedman, L. & Sinuany-Stern, Z. (1998). Combining ranking scales and selecting variables in the DEA context: The case of industrial branches. Computers & Operations Research 25(9), 781-791.
Fu, T. T., & Huang, M. Y. Measuring the Performance and Relative Efficiency of Departments in the College of Commerce using DEA. In Forth workshop on knowledge economy and electronic commerce (pp. 42-62).
Giménes, V. & Martinez, J. L. (2006). Cost efficiency in the university - A departmental evaluation model. Economics of Education Review 25, 543-553.
Glass, J. C., McCallion, G., McKillop, D. G., Rasaratnam, S. & Stringer, K. S. (2006). Implications of variant efficiency measures for policy evaluations in UK higher education. Socio-Economic Planning Sciences 40, 119-142.
Golany, B. & Roll, Y. (1989). An application procedure for DEA. Omega 17(3), 237-250.
Grifell-Tatjé, E., Prior, D., & Salas, V. (1992). Eficiencia de empresa y eficiencia de planta en los modelos frontera no paramétricos. Aplicación a las cajas de ahorro en España: 1989-1990. Fundación Fondo para la Investigación Económica y Social. Documento de trabajo, (92).
Haktanirlar Ulutas, B. (2011). Assessing the relative performance of university deparments: teaching vs research. Ekonometri ve Istatistik Sayi 13, 125-138.
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, 51-61.
Johnes, J. (2006). Data envelopment analysis and its application to the measurement of efficiency in higher education. Economics of Education Review 25, 273-288.
Johnes, J. (2006). Measuring Efficiency - A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education. Bulletin of Economic Research 58, 75-104.
Johnes, J. & Yu, L. (2008). Measuring the research performance of Chinese higher education institutions using data envelopment analysis. China Economic Review 19(4), 679-696.
Joumady, O. C. (2005). Performance in European higher education: A non-parametric production frontier approach. Education Economics 13, 189-205.
Kao, C. & Hung, H. T. (2008). Efficiency analysis of university departments: An empirical study. Omega 36, 653-664.
Katharaki, M., & Katharakis, G. (2010). A comparative assessment of Greek universities' efficiency using quantitative analysis. International Journal of Educational Research 49(4), 115-128.
Kõksal, G. & Nalçaci, B. (2006). The Relative Efficiency of Departments at a Turkish Engineering College: A Data Envelopment Analysis. Higher Education 51 (2), 173-189.
Kong, W. H. & Fu, T.-T. (2012). Assessing the performance of business colleges in Taiwan using data envelopment analysis and student based value-added performance indicators. Omega 40(5), 541-549.
Koopmans, T. C. (1951). Analysis of production as an efficient combination of activities. Activity analysis of production and allocation, 13, 33-37.
Kounetas, K., Anastasiou, A., Mitropoulos, P. & Mitropoulos, I. (2011). Departmental efficiency differences within a Greek university: An application of a DEA and Tobit analysis. International Transactions in Operational Research 18(5), 545-559.
Kuah, C. T. & Wong, K. Y. (2011). Efficiency assessment of universities through data envelopment analysis. Procedia Computer Science 3, 499-506.
Lee, B. L. (2011). Efficiency of research performance of Australian Universities: A reappraisal using a bootstrap truncated regression approach. Economic Analysis and Policy 41(3), 195.
Leitner, K. H., Prikoszovits, J., Schaffhauser-Linzatti, M., Stowasser, R. & Wagner, K. (2007). The Impact of Size and Specialisation on Universities' Department Performance: A DEA Analysis Applied to Austrian Universities. Higher Education 53(4), 517-538.
Lu, W.-M. (2012). Intellectual capital and university performance in Taiwan. Economic Modelling 29(4), 1081-1089.
Martin Rivero, R. (2006). La evaluación de la eficiencia. Una aplicación del DEA a la Universidad de la Laguna. XV Jornadas de la Asociación de la Economia de la Educación, 217-228.
Martin Rivero, R. (2007). La eficiencia productiva en el ámbito univer-sitario: aspectos claves para su evaluación. Estudios de Economia Aplicada 25, 793-812.
Miranda, R., Gramani, M. C. & Andrade, E. (2012). Technical efficiency of business administration courses: a simultaneous analysis using DEA and SFA. International Transactions in Operational Research 19(6), 847-862.
Moreno, A. A. & Tadepalli, R. (2002). Assessing academic department efficiency at a public university. Managerial and Decision Economics 23(7), 385-397.
Murias Fernández, P. (2005). Metodologia de aplicación del Análisis Envolvente de Datos: evaluación de la eficiencia técnica en la Universidad de Santiago de Compostela. Eduga 46, 737-746.
Murias, P., Miguel, J. C. & Rodriguez, D. (2008). A Composite Indicator for University Quality Assesment: The Case of Spanish Higher Education System. Social Indicators Research 89(1), 129-146.
Oral, M. & Yolalan, R. (1990). An empirical study on measuring operating efficiency and profitability of bank branches. European Journal of Operational Research 46(3), 282-294.
Pareto, V. & Bonnet, A. (1909). Manuel d'economie politique. Paris: V. Giard & E. Brière.
Pastor, T. (1996). Translation invariance in DEA: A generalization. Annals of Operations Research 66, 93-102.
Ray, S. C. & Jeon, Y. (2008). Reputation and efficiency: A non-parametric assessment of America's top-rated MBA programs. European Journal of Operational Research 189(1), 245-268.
Roll, Y. & Golany, B. (1993). Alternate methods of treating factor weights in DEA. Omega 21(1), 99-109.
Sarrico, C. S. & Dyson, R. G. (2000). Using DEA for Planning in UK Universities-An Institutional Perspective. The Journal of the Operational Research Society 51 (7), 789-800.
Scheel, H. (2000). EMS: Efficiency Measurement System - User's Manual.
Simar, L. & Wilson, P. W. (1998). Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models. Management Science 44(1), 49-61.
Simar, L. & Wilson, P. W. (2000a). A general methodology for bootstrapping in non-parametric frontier models. Journal of Applied Statistics, 27(6), 779-802.
Simar, L. & Wilson, P. W. (2000b). Statistical inference in nonparametric frontier models: The state of the art. Journal of Productivity Analysis, 13(1), 49-78.
Simar, L. & Wilson, P. W. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136(1), 31-64.
Sohn, S. Y. & Kim, Y. (2012). DEA based multi-period evaluation system for research in academia. Expert Systems with Applications 39(9), 8274-8278.
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.
Thursby, J. G. & Kemp, S. (2002). Growth and productive efficiency of university intellectual property licensing. Research Policy 31(1), 109-124.
Turner, D. (2005). Benchmarking in Universities: League Tables Revisited. Oxford Review of Education 31 (3), 353-371.
Tyagi, P., Yadav, S. P. & Singh, S. P. (2009). Relative performance of academic departments using DEA with sensitivity analysis. Evaluation and Program Planning 32(2), 168-177.
Ulutas, B. H. (2011). Assessing the Relative Performance of University Departments: Teaching vs. Research. Ekonometri ve Istatistik e-Dergisi 13, 125-138.
Warning, S. (2004). Performance differences in German higher education: Empirical analysis of strategic groups. Review of Industrial Organization 24(4), 393-408.
Wolszczak-Derlacz, J. & Parteka, A. (2011). Efficiency of European public higher education institutions: a two-stage multicountry approach. Scientometrics 89(3), 887-917.
Licencia
Derechos de autor 2014 Innovar

Esta obra está bajo una licencia internacional Creative Commons Reconocimiento-NoComercial-CompartirIgual 3.0.
Todos los artículos publicados por Innovar se encuentran disponibles globalmente con acceso abierto y licenciados bajo los términos de Creative Commons Atribución-No_Comercial-Sin_Derivadas 4.0 Internacional (CC BY-NC-ND 4.0).
Una vez seleccionados los artículos para un número, y antes de iniciar la etapa de cuidado y producción editorial, los autores deben firmar una cesión de derechos patrimoniales de su obra. Innovar se ciñe a las normas colombianas en materia de derechos de autor.
El material de esta revista puede ser reproducido o citado con carácter académico, citando la fuente.
Esta obra está bajo una Licencia Creative Commons:








