- -

Assessing the Efficiency of Public Universities through DEA. A Case Study

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Assessing the Efficiency of Public Universities through DEA. A Case Study

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Visbal-Cadavid, Delimiro es_ES
dc.contributor.author Martínez-Gómez, Mónica es_ES
dc.contributor.author Guijarro, Francisco es_ES
dc.date.accessioned 2020-10-23T03:31:43Z
dc.date.available 2020-10-23T03:31:43Z
dc.date.issued 2017-08-11 es_ES
dc.identifier.uri http://hdl.handle.net/10251/153048
dc.description.abstract [EN] This paper presents the results of an efficiency study of Colombian public universities in 2012, conducted using the methodology of Data Envelopment Analysis (DEA) and the models CCR, BCC and SBM under output orientation. The main objective is to determine technical, pure technical, scale and mix efficiencies using data acquired from the Ministry of National Education. An analysis of the results shows the extent to which outputs of inefficient Higher Education Institutions (HEIs) could be improved and the possible cause of this inefficiency. The universities were also ranked using a Pareto efficient cross-efficiency model and a study was made of changes to overall productivity between 2011 and 2012. The results showed Tolima, Caldas and UNAD to be the best-performing universities, with Universidad del Pacífico as the worst performer. Malmquist index was applied to analyze the change in productivity from 2011 to 2012. The Universidad de La Guajira showed great improvement in technical efficiency between 2011 and 2012. es_ES
dc.description.sponsorship Monica Martinez-Gomez has been funded by the research project GVA/20161004: Project of Conselleria d'Educacio, Investigacio, Cultura i Esport de la Generalitat Valenciana, through the project "Validacion de la competencia transversal de innovacion mediante un modelo de Medida formativo" es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sustainability es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Higher education es_ES
dc.subject Data envelopment analysis es_ES
dc.subject Efficiency es_ES
dc.subject Cross-efficiency es_ES
dc.subject Malmquist index es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification ECONOMIA FINANCIERA Y CONTABILIDAD es_ES
dc.title Assessing the Efficiency of Public Universities through DEA. A Case Study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/su9081416 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2016%2F004/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Visbal-Cadavid, D.; Martínez-Gómez, M.; Guijarro, F. (2017). Assessing the Efficiency of Public Universities through DEA. A Case Study. Sustainability. 9(8):1-19. https://doi.org/10.3390/su9081416 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/su9081416 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.description.issue 8 es_ES
dc.identifier.eissn 2071-1050 es_ES
dc.relation.pasarela S\341852 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.description.references 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. doi:10.1057/jors.2013.2 es_ES
dc.description.references Mayston, D. J. (2017). Convexity, quality and efficiency in education. Journal of the Operational Research Society, 68(4), 446-455. doi:10.1057/jors.2015.91 es_ES
dc.description.references Palomares-Montero, D., García-Aracil, A., & Castro-Martínez, E. (2008). Assessment of Higher Education Institutions: A Bibliographic Review of Indicatorsâ Systems. Revista española de Documentación Científica, 31(2). doi:10.3989/redc.2008.v31.i2.425 es_ES
dc.description.references Witte, K. D., & López-Torres, L. (2017). Efficiency in education: a review of literature and a way forward. Journal of the Operational Research Society, 68(4), 339-363. doi:10.1057/jors.2015.92 es_ES
dc.description.references Barra, C., & Zotti, R. (2016). Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis. International Advances in Economic Research, 22(1), 11-33. doi:10.1007/s11294-015-9558-4 es_ES
dc.description.references Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. doi:10.1016/0377-2217(78)90138-8 es_ES
dc.description.references Agasisti, T., & Bianco, A. D. (2009). Measuring efficiency of Higher Education institutions. International Journal of Management and Decision Making, 10(5/6), 443. doi:10.1504/ijmdm.2009.026687 es_ES
dc.description.references Agasisti, T., Barra, C., & Zotti, R. (2016). Evaluating the efficiency of Italian public universities (2008–2011) in presence of (unobserved) heterogeneity. Socio-Economic Planning Sciences, 55, 47-58. doi:10.1016/j.seps.2016.06.002 es_ES
dc.description.references Da Silva e Souza, G., & Gomes, E. G. (2015). Management of agricultural research centers in Brazil: A DEA application using a dynamic GMM approach. European Journal of Operational Research, 240(3), 819-824. doi:10.1016/j.ejor.2014.07.027 es_ES
dc.description.references Gökşen, Y., Doğan, O., & Özkarabacak, B. (2015). A Data Envelopment Analysis Application for Measuring Efficiency of University Departments. Procedia Economics and Finance, 19, 226-237. doi:10.1016/s2212-5671(15)00024-6 es_ES
dc.description.references 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. doi:10.1016/j.ijer.2010.11.001 es_ES
dc.description.references Podinovski, V. V., & Wan Husain, W. R. (2015). The hybrid returns-to-scale model and its extension by production trade-offs: an application to the efficiency assessment of public universities in Malaysia. Annals of Operations Research, 250(1), 65-84. doi:10.1007/s10479-015-1854-0 es_ES
dc.description.references 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. doi:10.1057/jors.2010.68 es_ES
dc.description.references Wu, J., Chu, J., Sun, J., & Zhu, Q. (2016). DEA cross-efficiency evaluation based on Pareto improvement. European Journal of Operational Research, 248(2), 571-579. doi:10.1016/j.ejor.2015.07.042 es_ES
dc.description.references Kwon, H.-B., & Lee, J. (2015). Two-stage production modeling of large U.S. banks: A DEA-neural network approach. Expert Systems with Applications, 42(19), 6758-6766. doi:10.1016/j.eswa.2015.04.062 es_ES
dc.description.references Tao, L., Liu, X., & Chen, Y. (2012). Online banking performance evaluation using data envelopment analysis and axiomatic fuzzy set clustering. Quality & Quantity, 47(2), 1259-1273. doi:10.1007/s11135-012-9767-3 es_ES
dc.description.references Tsolas, I. E., & Charles, V. (2015). Incorporating risk into bank efficiency: A satisficing DEA approach to assess the Greek banking crisis. Expert Systems with Applications, 42(7), 3491-3500. doi:10.1016/j.eswa.2014.12.033 es_ES
dc.description.references Wanke, P., & Barros, C. (2014). Two-stage DEA: An application to major Brazilian banks. Expert Systems with Applications, 41(5), 2337-2344. doi:10.1016/j.eswa.2013.09.031 es_ES
dc.description.references Aristovnik, A., Seljak, J., & Mencinger, J. (2014). Performance measurement of police forces at the local level: A non-parametric mathematical programming approach. Expert Systems with Applications, 41(4), 1647-1653. doi:10.1016/j.eswa.2013.08.061 es_ES
dc.description.references Fang, L., & Li, H. (2015). Centralized resource allocation based on the cost–revenue analysis. Computers & Industrial Engineering, 85, 395-401. doi:10.1016/j.cie.2015.04.018 es_ES
dc.description.references Du, J., Cook, W. D., Liang, L., & Zhu, J. (2014). Fixed cost and resource allocation based on DEA cross-efficiency. European Journal of Operational Research, 235(1), 206-214. doi:10.1016/j.ejor.2013.10.002 es_ES
dc.description.references Lozano, S. (2015). A joint-inputs Network DEA approach to production and pollution-generating technologies. Expert Systems with Applications, 42(21), 7960-7968. doi:10.1016/j.eswa.2015.06.023 es_ES
dc.description.references Woo, C., Chung, Y., Chun, D., Seo, H., & Hong, S. (2015). The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries. Renewable and Sustainable Energy Reviews, 47, 367-376. doi:10.1016/j.rser.2015.03.070 es_ES
dc.description.references Azadeh, A., Motevali Haghighi, S., Zarrin, M., & Khaefi, S. (2015). Performance evaluation of Iranian electricity distribution units by using stochastic data envelopment analysis. International Journal of Electrical Power & Energy Systems, 73, 919-931. doi:10.1016/j.ijepes.2015.06.002 es_ES
dc.description.references Omrani, H., Gharizadeh Beiragh, R., & Shafiei Kaleibari, S. (2015). Performance assessment of Iranian electricity distribution companies by an integrated cooperative game data envelopment analysis principal component analysis approach. International Journal of Electrical Power & Energy Systems, 64, 617-625. doi:10.1016/j.ijepes.2014.07.045 es_ES
dc.description.references Escorcia Caballero, R., Visbal Cadavid, D., & Agudelo Toloza, J. M. (2015). Eficiencia en las instituciones educativas públicas de la ciudad de Santa Marta (Colombia) mediante "Análisis Envolvente de Datos. Ingeniare. Revista chilena de ingeniería, 23(4), 579-593. doi:10.4067/s0718-33052015000400009 es_ES
dc.description.references Grosskopf, S., Hayes, K., & Taylor, L. L. (2014). Applied efficiency analysis in education. Economics and Business Letters, 3(1), 19. doi:10.17811/ebl.3.1.2014.19-26 es_ES
dc.description.references Huguenin, J.-M. (2015). Determinants of school efficiency. International Journal of Educational Management, 29(5), 539-562. doi:10.1108/ijem-12-2013-0183 es_ES
dc.description.references Avilés Sacoto, S., Güemes Castorena, D., Cook, W. D., & Cantú Delgado, H. (2015). Time-staged outputs in DEA. Omega, 55, 1-9. doi:10.1016/j.omega.2015.01.019 es_ES
dc.description.references De Witte, K., & Rogge, N. (2011). Accounting for exogenous influences in performance evaluations of teachers. Economics of Education Review, 30(4), 641-653. doi:10.1016/j.econedurev.2011.02.002 es_ES
dc.description.references Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. doi:10.1287/mnsc.30.9.1078 es_ES
dc.description.references Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509. doi:10.1016/s0377-2217(99)00407-5 es_ES
dc.description.references Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253. doi:10.2307/2343100 es_ES
dc.description.references Scheel, H., & Scholtes, S. (2003). Continuity of DEA Efficiency Measures. Operations Research, 51(1), 149-159. doi:10.1287/opre.51.1.149.12803 es_ES
dc.description.references Andersen, P., & Petersen, N. C. (1993). A Procedure for Ranking Efficient Units in Data Envelopment Analysis. Management Science, 39(10), 1261-1264. doi:10.1287/mnsc.39.10.1261 es_ES
dc.description.references Fang, H.-H., Lee, H.-S., Hwang, S.-N., & Chung, C.-C. (2013). A slacks-based measure of super-efficiency in data envelopment analysis: An alternative approach. Omega, 41(4), 731-734. doi:10.1016/j.omega.2012.10.004 es_ES
dc.description.references Doyle, J., & Green, R. (1994). Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses. Journal of the Operational Research Society, 45(5), 567-578. doi:10.1057/jors.1994.84 es_ES
dc.description.references Sexton, T. R., Silkman, R. H., & Hogan, A. J. (1986). Data envelopment analysis: Critique and extensions. New Directions for Program Evaluation, 1986(32), 73-105. doi:10.1002/ev.1441 es_ES
dc.description.references Yang, G., Yang, J., Liu, W., & Li, X. (2013). Cross-efficiency aggregation in DEA models using the evidential-reasoning approach. European Journal of Operational Research, 231(2), 393-404. doi:10.1016/j.ejor.2013.05.017 es_ES
dc.description.references Zerafat Angiz, M., Mustafa, A., & Kamali, M. J. (2013). Cross-ranking of Decision Making Units in Data Envelopment Analysis. Applied Mathematical Modelling, 37(1-2), 398-405. doi:10.1016/j.apm.2012.02.038 es_ES
dc.description.references Banker, R. D., & Chang, H. (2006). The super-efficiency procedure for outlier identification, not for ranking efficient units. European Journal of Operational Research, 175(2), 1311-1320. doi:10.1016/j.ejor.2005.06.028 es_ES
dc.description.references Thanassoulis, E., Shiraz, R. K., & Maniadakis, N. (2015). A cost Malmquist productivity index capturing group performance. European Journal of Operational Research, 241(3), 796-805. doi:10.1016/j.ejor.2014.09.002 es_ES
dc.description.references Wijesiri, M., & Meoli, M. (2015). Productivity change of microfinance institutions in Kenya: A bootstrap Malmquist approach. Journal of Retailing and Consumer Services, 25, 115-121. doi:10.1016/j.jretconser.2015.04.004 es_ES
dc.description.references Eskelinen, J. (2017). Comparison of variable selection techniques for data envelopment analysis in a retail bank. European Journal of Operational Research, 259(2), 778-788. doi:10.1016/j.ejor.2016.11.009 es_ES
dc.description.references 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. doi:10.1016/s0377-2217(02)00243-6 es_ES
dc.description.references Land, K. C., Knox Lovell, C. A., & Thore, S. (1994). Productive efficiency under capitalism and state socialism: Technological Forecasting and Social Change, 46(2), 139-152. doi:10.1016/0040-1625(94)90022-1 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem