Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis

In 2003, the process of public universities evaluation began. For this purpose, a set of performance indicators constructed by the Public University System (SUE by its acronym in Spanish) in alliance with the Ministry of National Education (MEN) was used. In an effort to know about the research effi...

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Autores:
Yáñez Canal, Gabriel
García Amado, Ana Patricia
González Hurtado, Manuela
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/2566
Acceso en línea:
https://hdl.handle.net/11323/2566
https://doi.org/10.17981/ingecuc.11.2.2015.10
https://repositorio.cuc.edu.co/
Palabra clave:
Public University System (SUE)
Management indicators
Efficiency
Data envelopment analysis
CCR Model
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2
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network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis
title Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis
spellingShingle Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis
Public University System (SUE)
Management indicators
Efficiency
Data envelopment analysis
CCR Model
title_short Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis
title_full Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis
title_fullStr Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis
title_full_unstemmed Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis
title_sort Research efficiency assessment of colombian public universities 2003-2012 data envelopment analysis
dc.creator.fl_str_mv Yáñez Canal, Gabriel
García Amado, Ana Patricia
González Hurtado, Manuela
dc.contributor.author.spa.fl_str_mv Yáñez Canal, Gabriel
García Amado, Ana Patricia
González Hurtado, Manuela
dc.subject.spa.fl_str_mv Public University System (SUE)
Management indicators
Efficiency
Data envelopment analysis
CCR Model
topic Public University System (SUE)
Management indicators
Efficiency
Data envelopment analysis
CCR Model
description In 2003, the process of public universities evaluation began. For this purpose, a set of performance indicators constructed by the Public University System (SUE by its acronym in Spanish) in alliance with the Ministry of National Education (MEN) was used. In an effort to know about the research efficiency level that pu-blic universities had in the period 2003-2012, an analy-sis of the results of these indicators was executed using Data Envelopment Analysis. In particular, the product-oriented CCR model was applied. Although many univer-sities have experienced a sustained development in some of the indicators analyzed and show high relative levels of efficiency, the results show that, as a whole, the Public University System has still much to improve regarding its scientific mission, especially, those aspects related to graduate programs and scientific journals
publishDate 2015
dc.date.issued.none.fl_str_mv 2015-09-28
dc.date.accessioned.none.fl_str_mv 2019-02-16T01:14:36Z
dc.date.available.none.fl_str_mv 2019-02-16T01:14:36Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.citation.spa.fl_str_mv Yáñez Canal, G., García Amado, A., & González Hurtado, M. (2015). Evaluación de la eficiencia investigativa de las universidades públicas colombianas 2003-2012 utilizando el análisis envolvente de datos. INGE CUC, 11(2), 97-108. https://doi.org/10.17981/ingecuc.11.2.2015.10
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identifier_str_mv Yáñez Canal, G., García Amado, A., & González Hurtado, M. (2015). Evaluación de la eficiencia investigativa de las universidades públicas colombianas 2003-2012 utilizando el análisis envolvente de datos. INGE CUC, 11(2), 97-108. https://doi.org/10.17981/ingecuc.11.2.2015.10
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2382-4700
Corporación Universidad de la Costa
0122-6517
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https://doi.org/10.17981/ingecuc.11.2.2015.10
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dc.language.iso.none.fl_str_mv eng
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dc.relation.ispartofseries.spa.fl_str_mv INGE CUC; Vol. 11, Núm. 2 (2015)
dc.relation.ispartofjournal.spa.fl_str_mv INGE CUC
INGE CUC
dc.relation.references.spa.fl_str_mv [1] Congreso de la Republica, Ley 30 de diciembre 28 de 1992. Colombia, 1992.
[2] G. Yáñez and J. Torres, “Análisis de los Indicadores de Gestión en la Universidad Industrial de Santander en el período 2003-2008.” Bucaramanga, 2010.
[3] G. Yáñez and J. Torres, “Construcción de un modelo dinámico de indicadores para el Sistema Universitario Estatal,” Entornos, vol. 24, no. Especial, pp. 39–51, 2012.
[4] W. Cooper, L. Seiford, and K. Tone, Data Envelopment Analysis A Comprehensive Text with Models, Applications, References and DEA-Solver Software, 2nd ed. New York: Springer, 2006.
[5] Ministerio de Educación, “SNIES.” [Online]. Available: http://www.mineducacion.gov.co/sistemasdeinformacion/1735/w3-propertyname-2672.html.
[6] C. Timothy, O. Christopher, and D. Rao, An Introduction to Efficiency and Productivity Analysis, 2nd ed. New York: Springer, 2005.
[7] R. Fuentes, “Eficiencia de la gestión de los institutos públicos de bachiller de la provincia de Alicante,”Ph.D dissertation, Dept. Econ.Cien. Univ. Alicante, 2000.
[8] M. L. Bougnol and J. H. Dulá, “Validating DEA as a ranking tool: An application of DEA to assess performance in higher education,” Ann. Oper. Res., vol. 145, no. 1, pp. 339–365, Jun. 2006. DOI: 10.1007/s10479-006-0039-2.
[9] J. Johnes, “Data envelopment analysis and its application to the measurement of efficiency in higher education,” Econ. Educ. Rev., vol. 25, no. 3, pp. 273–288, 2006. DOI: 10.1016/j.econedurev.2005.02.005
[10] C. T. Kuah and K. Y. Wong, “Efficiency assessment of universities through data envelopment analysis,” Procedia Comput. Sci., vol. 3, pp. 499–506, 2011. DOI: 10.1016/j.procs.2010.12.084
[11] M. Abbott and C. Doucouliagos, “The efficiency of Australian universities: a data envelopment analysis,” Econ. Educ. Rev., vol. 22, no. 1, pp. 89–97, 2003. DOI: 10.1016/S0272-7757(01)00068-1
[12] J. Johnes and L. Yu, “Measuring the research performance of Chinese higher education institutions using data envelopment analysis,” China Econ. Rev., vol. 19, no. 4, pp. 679–696, 2008. DOI: 10.1016/j.chieco.2008.08.004
[13] N. K. Avkiran, “Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis,” Socioecon. Plann. Sci., vol. 35, no. 1, pp. 57–80, 2001. DOI: 10.1016/S0038-0121(00)00010-0
[14] A. D. Athanassopoulos and E. Shale, “Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis,” Educ. Econ., vol. 5, no. 2, pp. 117–134, 1997. DOI: 10.1080/09645299700000011
[15] J. M. Gómez Sancho, “La evaluación de la eficiencia en las universidades públicas españolas,” X Jornadas de la Asociación de la Economía de la Educación. Servicio de Publicaciones, pp. 411–434, 2001.
[16] M. McMillan and D. Datta, “The Relative Efficiencies of Canadian Universities: A DEA Perspective,” Can. Public Policy, vol. 24, no. 4, pp. 485–511, 1998. DOI: 10.2307 / 3552021
[17] B. Taylor and G. Harris, “Relative efficiency among South African universities: A data envelopment analysis,” High. Educ., vol. 47, no. 1, pp. 73–89, 2004. DOI: 10.1023/B:HIGH.0000009805.98400.4d
[18] R. Caballero, T. Galache, T. Gómez, and A. Torrico, “Análisis de la eficiencia vía DEA y multiobjetivo. Una aplicación al caso de la Universidad de Málaga.” Jaen, pp. 81–96, 2000.
[19] M. C. González Veiga, F. J. Mato Díaz, and E. Lafuente Robledo, “Estudio de la eficiencia en la Universidad de Oviedo a través del análisis envolvente de datos,” VII Jornadas de la Asociación de la Economía de la Educación. Universidad de Cantabria, pp. 417–428, 1998.
[20] G. Johnes and J. Johnes, “Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis,” Oxf. Econ. Pap, vol. 45, no. 2, pp. 332–47, 1993.
[21] E. Martín Villaspín, “An application of the Data Envelopment Analysis Methodology in the performance assessment of the Zaragoza University Departments.” 2006.
[22] Z. Sinuany-Stern, A. Mehrez, and A. Barboy, “Academic departments efficiency via DEA,” Comput. Oper. Res., vol. 21, no. 5, pp. 543–556, 1994. DOI: 10.1016/0305-0548(94)90103-1
[23] C. Tomkins and R. Green, “An Experiment In The Use Of Data Envelopment Analysis For Evaluating The Efficiency Of Uk University Departments Of Accounting,” Financ. Account. Manag, vol. 4, no. 2, pp. 147–164, Jun. 1988. DOI: 10.1111/j.1468-0408.1988.tb00296.x
[24] J. Johnes, “Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993,” Eur. J. Oper. Res., vol. 174, no. 1, pp. 443–456, 2006. DOI: 10.1016/j.ejor.2005.02.044
[25] J. E. Beasley, “Determining Teaching and Research Efficiencies,” J. Oper. Res. Soc., vol. 46, no. 4, pp. 441–452, 1995.DOI: 10.1057/jors.1995.63
[26] J. Soto Mejia, W. Arenas Valencia, and A. Trejos, “La producciòn académica como uno de los indicadores del desempeño de las universidades públicas colombianas desde la perspectiva del análisis envolvente de datos,” Scientia et Technica, vol. 2, no. 28, pp. 109-114. 2005.
[27] J.-L. Pino-Mejías, F. Solís-Cabrera, M. Delgado-Fernández, and R. Barea-Barrera, “Evaluación de la eficiencia de grupos de investigación mediante análisis envolvente de datos (DEA),” El Prof. la Inf., vol. 19, no. 2, pp. 160–167, 2010. DOI: 10.3145/epi.2010.mar.06
[28] M. C. González Veiga, E. Lafuente Robledo, and F. J. Mato Díaz, “El análisis envolvente de datos y la eficiencia en la Universidad: modelos de evaluación de la docencia y la investigación.” Oviedo, pp. 1–22, 1999.
[29] A. Charnes, W. W. Cooper, and E. Rhodes, “Measuring the efficiency of decision making units,” Eur. J. Oper. Res., vol. 2, no. 6, pp. 429–444, 1978. DOI: 10.1016/0377-2217(78)90138-8
[30] A. Charnes, W. W. Cooper, and E. Rhodes, “Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through,” Manage. Sci., vol. 27, no. 6, pp. 668–697, 1981. DOI: 10.1287/mnsc.27.6.668
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spelling Yáñez Canal, GabrielGarcía Amado, Ana PatriciaGonzález Hurtado, Manuela2019-02-16T01:14:36Z2019-02-16T01:14:36Z2015-09-28Yáñez Canal, G., García Amado, A., & González Hurtado, M. (2015). Evaluación de la eficiencia investigativa de las universidades públicas colombianas 2003-2012 utilizando el análisis envolvente de datos. INGE CUC, 11(2), 97-108. https://doi.org/10.17981/ingecuc.11.2.2015.100122-6517, 2382-4700 electrónicohttps://hdl.handle.net/11323/2566https://doi.org/10.17981/ingecuc.11.2.2015.1010.17981/ingecuc.11.2.2015.102382-4700Corporación Universidad de la Costa0122-6517REDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In 2003, the process of public universities evaluation began. For this purpose, a set of performance indicators constructed by the Public University System (SUE by its acronym in Spanish) in alliance with the Ministry of National Education (MEN) was used. In an effort to know about the research efficiency level that pu-blic universities had in the period 2003-2012, an analy-sis of the results of these indicators was executed using Data Envelopment Analysis. In particular, the product-oriented CCR model was applied. Although many univer-sities have experienced a sustained development in some of the indicators analyzed and show high relative levels of efficiency, the results show that, as a whole, the Public University System has still much to improve regarding its scientific mission, especially, those aspects related to graduate programs and scientific journalsEn el año 2003 se inició el proceso de eva-luación de las universidades públicas colombianas uti-lizando un conjunto de indicadores de gestión construi-dos por el Sistema de Universidades Estatales (SUE) conjuntamente con el Ministerio de Educación Nacional (MEN). Con el ánimo de conocer la eficiencia en investi-gación que han tenido las universidades públicas en el periodo 2003-2012 se realizó un análisis de los resulta-dos de los indicadores utilizando el Análisis Envolvente de Datos. Se aplicó el modelo CCR orientado a los pro-ductos. A pesar de que muchas universidades han expe-rimentado un desarrollo sostenido en algunos de los indi-cadores analizados y muestran niveles relativos altos de eficiencia, los resultados muestran que, en su conjunto, el Sistema Universitario Estatal tiene mucho que mejorar en su misión científica, en particular en lo relacionado con los programas de posgrado y producción de revistasYáñez Canal, GabrielGarcía Amado, Ana PatriciaGonzález Hurtado, Manuelaapplication/pdfengCorporación Universidad de la CostaINGE CUC; Vol. 11, Núm. 2 (2015)INGE CUCINGE CUC[1] Congreso de la Republica, Ley 30 de diciembre 28 de 1992. Colombia, 1992.[2] G. Yáñez and J. Torres, “Análisis de los Indicadores de Gestión en la Universidad Industrial de Santander en el período 2003-2008.” Bucaramanga, 2010.[3] G. Yáñez and J. Torres, “Construcción de un modelo dinámico de indicadores para el Sistema Universitario Estatal,” Entornos, vol. 24, no. Especial, pp. 39–51, 2012.[4] W. Cooper, L. Seiford, and K. Tone, Data Envelopment Analysis A Comprehensive Text with Models, Applications, References and DEA-Solver Software, 2nd ed. New York: Springer, 2006.[5] Ministerio de Educación, “SNIES.” [Online]. Available: http://www.mineducacion.gov.co/sistemasdeinformacion/1735/w3-propertyname-2672.html.[6] C. Timothy, O. Christopher, and D. Rao, An Introduction to Efficiency and Productivity Analysis, 2nd ed. New York: Springer, 2005.[7] R. Fuentes, “Eficiencia de la gestión de los institutos públicos de bachiller de la provincia de Alicante,”Ph.D dissertation, Dept. Econ.Cien. Univ. Alicante, 2000.[8] M. L. Bougnol and J. H. Dulá, “Validating DEA as a ranking tool: An application of DEA to assess performance in higher education,” Ann. Oper. Res., vol. 145, no. 1, pp. 339–365, Jun. 2006. DOI: 10.1007/s10479-006-0039-2.[9] J. Johnes, “Data envelopment analysis and its application to the measurement of efficiency in higher education,” Econ. Educ. Rev., vol. 25, no. 3, pp. 273–288, 2006. DOI: 10.1016/j.econedurev.2005.02.005[10] C. T. Kuah and K. Y. Wong, “Efficiency assessment of universities through data envelopment analysis,” Procedia Comput. Sci., vol. 3, pp. 499–506, 2011. DOI: 10.1016/j.procs.2010.12.084[11] M. Abbott and C. Doucouliagos, “The efficiency of Australian universities: a data envelopment analysis,” Econ. Educ. Rev., vol. 22, no. 1, pp. 89–97, 2003. DOI: 10.1016/S0272-7757(01)00068-1[12] J. Johnes and L. Yu, “Measuring the research performance of Chinese higher education institutions using data envelopment analysis,” China Econ. Rev., vol. 19, no. 4, pp. 679–696, 2008. DOI: 10.1016/j.chieco.2008.08.004[13] N. K. Avkiran, “Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis,” Socioecon. Plann. Sci., vol. 35, no. 1, pp. 57–80, 2001. DOI: 10.1016/S0038-0121(00)00010-0[14] A. D. Athanassopoulos and E. Shale, “Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis,” Educ. Econ., vol. 5, no. 2, pp. 117–134, 1997. DOI: 10.1080/09645299700000011[15] J. M. Gómez Sancho, “La evaluación de la eficiencia en las universidades públicas españolas,” X Jornadas de la Asociación de la Economía de la Educación. Servicio de Publicaciones, pp. 411–434, 2001.[16] M. McMillan and D. Datta, “The Relative Efficiencies of Canadian Universities: A DEA Perspective,” Can. Public Policy, vol. 24, no. 4, pp. 485–511, 1998. DOI: 10.2307 / 3552021[17] B. Taylor and G. Harris, “Relative efficiency among South African universities: A data envelopment analysis,” High. Educ., vol. 47, no. 1, pp. 73–89, 2004. DOI: 10.1023/B:HIGH.0000009805.98400.4d[18] R. Caballero, T. Galache, T. Gómez, and A. Torrico, “Análisis de la eficiencia vía DEA y multiobjetivo. Una aplicación al caso de la Universidad de Málaga.” Jaen, pp. 81–96, 2000.[19] M. C. González Veiga, F. J. Mato Díaz, and E. Lafuente Robledo, “Estudio de la eficiencia en la Universidad de Oviedo a través del análisis envolvente de datos,” VII Jornadas de la Asociación de la Economía de la Educación. Universidad de Cantabria, pp. 417–428, 1998.[20] G. Johnes and J. Johnes, “Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis,” Oxf. Econ. Pap, vol. 45, no. 2, pp. 332–47, 1993.[21] E. Martín Villaspín, “An application of the Data Envelopment Analysis Methodology in the performance assessment of the Zaragoza University Departments.” 2006.[22] Z. Sinuany-Stern, A. Mehrez, and A. Barboy, “Academic departments efficiency via DEA,” Comput. Oper. Res., vol. 21, no. 5, pp. 543–556, 1994. DOI: 10.1016/0305-0548(94)90103-1[23] C. Tomkins and R. Green, “An Experiment In The Use Of Data Envelopment Analysis For Evaluating The Efficiency Of Uk University Departments Of Accounting,” Financ. Account. Manag, vol. 4, no. 2, pp. 147–164, Jun. 1988. DOI: 10.1111/j.1468-0408.1988.tb00296.x[24] J. Johnes, “Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993,” Eur. J. Oper. Res., vol. 174, no. 1, pp. 443–456, 2006. DOI: 10.1016/j.ejor.2005.02.044[25] J. E. Beasley, “Determining Teaching and Research Efficiencies,” J. Oper. Res. Soc., vol. 46, no. 4, pp. 441–452, 1995.DOI: 10.1057/jors.1995.63[26] J. Soto Mejia, W. Arenas Valencia, and A. Trejos, “La producciòn académica como uno de los indicadores del desempeño de las universidades públicas colombianas desde la perspectiva del análisis envolvente de datos,” Scientia et Technica, vol. 2, no. 28, pp. 109-114. 2005.[27] J.-L. Pino-Mejías, F. Solís-Cabrera, M. Delgado-Fernández, and R. Barea-Barrera, “Evaluación de la eficiencia de grupos de investigación mediante análisis envolvente de datos (DEA),” El Prof. la Inf., vol. 19, no. 2, pp. 160–167, 2010. DOI: 10.3145/epi.2010.mar.06[28] M. C. González Veiga, E. Lafuente Robledo, and F. J. Mato Díaz, “El análisis envolvente de datos y la eficiencia en la Universidad: modelos de evaluación de la docencia y la investigación.” Oviedo, pp. 1–22, 1999.[29] A. Charnes, W. W. Cooper, and E. Rhodes, “Measuring the efficiency of decision making units,” Eur. J. Oper. Res., vol. 2, no. 6, pp. 429–444, 1978. DOI: 10.1016/0377-2217(78)90138-8[30] A. Charnes, W. W. Cooper, and E. Rhodes, “Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through,” Manage. Sci., vol. 27, no. 6, pp. 668–697, 1981. 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