IDEAS home Printed from https://ideas.repec.org/h/aec/ieed05/05-36.html
   My bibliography  Save this book chapter

Análisis de diferentes medidas de la eficiencia investigadora y factores explicativos en las universidades públicas españolas

In: Investigaciones de Economía de la Educación 5

Author

Listed:
  • Angel García Correas

    (Universidad de Cádiz)

  • Manuel Larran Jorge

    (Universidad de Cádiz)

Abstract

En los últimos tiempos se ha renovado con una cierta intensidad el debate en el ámbito de la Educación Superior en torno a temas como la Gobernanza, Financiación y Productividad Científica de las universidades. Lo anterior incrementa la posible oportunidad del presente trabajo dado que su objetivo básico va a estar constituido por la evaluación de la eficiencia investigadora de las universidades públicas españolas. Para conseguir dicho objetivo básico se ha utilizado como metodología de soporte el DEA (Data Envelopment Analysis), la cual mide la eficiencia relativa de las unidades de decisión, en este caso de las 48 universidades públicas españolas durante el curso académico 2006-2007. En concreto, vamos a medir la producción de investigación en función de los recursos humanos disponibles, para lo cual pondremos en relación diferentes outputs (tesis doctorales aprobadas, documentos científicos recogidos en revistas indexadas, tramos de investigación, número de proyectos de investigación o financiación concedida a estos proyectos, patentes e ingresos artículo 83) con un solo input, el número de profesores equivalentes a tiempo completo. Aunque el objetivo básico sea el de la evaluación de la actividad investigadora, se añaden una serie de objetivos complementarios que aportan una cierta diferenciación del presente estudio sobre trabajos que abordan el mismo objeto de análisis, que serían los siguientes: 1. Analizar la sensibilidad de la eficiencia a la consideración como outputs únicamente aquéllos relacionados con la investigación básica o incluyendo también aquellos más relacionados con la tercera misión de la universidad o la transferencia de resultados de la investigación a la sociedad. 2. Analizar posibles factores explicativos de la eficiencia investigadora, tales como tamaño y nivel de especialización de las universidades. 3. Analizar la posible relación entre eficiencia docente e investigadora. 4. Analizar la posible similitud o discrepancia de los resultados del presente estudio con los obtenidos por otros trabajos, concretamente los del Grupo Scimago (2007), Buela-Casal (2008) y Buesa et al (2009).

Suggested Citation

  • Angel García Correas & Manuel Larran Jorge, 2010. "Análisis de diferentes medidas de la eficiencia investigadora y factores explicativos en las universidades públicas españolas," Investigaciones de Economía de la Educación volume 5, in: María Jesús Mancebón-Torrubia & Domingo P. Ximénez-de-Embún & José María Gómez-Sancho & Gregorio Gim (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 36, pages 703-732, Asociación de Economía de la Educación.
    • Handle: RePEc:aec:ieed05:05-36
    as

    Download full text from publisher

    File URL: http://repec.economicsofeducation.com/2010zaragoza/05-36.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    2. Melville L. McMillan & Debasish Datta, 1998. "The Relative Efficiencies of Canadian Universities: A DEA Perspective," Canadian Public Policy, University of Toronto Press, vol. 24(4), pages 485-511, December.
    3. Giovanni Abramo & Ciriaco Andrea D'Angelo, 2009. "Assessing technical and cost efficiency of research activities: a case study of the Italian university system," Research Evaluation, Oxford University Press, vol. 18(1), pages 61-70, March.
    4. Tommaso Agasisti & Geraint Johnes, 2010. "Heterogeneity and the evaluation of efficiency: the case of Italian universities," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1365-1375.
    5. António Afonso & Mariana Santos, 2008. "A Dea Approach To The Relative Efficiency Of Portuguese Public Universities," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(1), pages 67-88.
    6. Johnes, Jill & Johnes, Geraint, 1995. "Research funding and performance in U.K. University Departments of Economics: A frontier analysis," Economics of Education Review, Elsevier, vol. 14(3), pages 301-314, September.
    7. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    8. Ahn, Taesik & Charnes, Abraham & Cooper, William W., 1988. "Efficiency characterizations in different DEA models," Socio-Economic Planning Sciences, Elsevier, vol. 22(6), pages 253-257.
    9. Horne, Jocelyn & Hu, Baiding, 2008. "Estimation of cost efficiency of Australian universities," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 266-275.
    10. Groot, Tom & Garcia-Valderrama, Teresa, 2006. "Research quality and efficiency: An analysis of assessments and management issues in Dutch economics and business research programs," Research Policy, Elsevier, vol. 35(9), pages 1362-1376, November.
    11. Gattoufi, Said & Oral, Muhittin & Kumar, Ashok & Reisman, Arnold, 2004. "Epistemology of data envelopment analysis and comparison with other fields of OR/MS for relevance to applications," Socio-Economic Planning Sciences, Elsevier, vol. 38(2-3), pages 123-140.
    12. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    13. Nicholas Barr, 2004. "Higher Education Funding," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 20(2), pages 264-283, Summer.
    14. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    15. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    16. Tommaso Agasisti & Carlo Salerno, 2007. "Assessing the Cost Efficiency of Italian Universities," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 455-471.
    17. A. T. Flegg & D. O. Allen & K. Field & T. W. Thurlow, 2004. "Measuring the efficiency of British universities: a multi-period data envelopment analysis," Education Economics, Taylor & Francis Journals, vol. 12(3), pages 231-249.
    18. Ying Chu Ng & Sung Ko Li, 2000. "Measuring the Research Performance of Chinese Higher Education Institutions: An Application of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 8(2), pages 139-156.
    19. Roger Carrington & Tim Coelli & D. S. Prasada Rao, 2005. "The Performance Of Australian Universities: Conceptual Issues And Preliminary Results," Economic Papers, The Economic Society of Australia, vol. 24(2), pages 145-163, June.
    20. Façanha, Luís Otávio & Resende, Marcelo & Marinho, Alexandre, 1997. "Brazilian Federal Universities: Relative Efficiency Evaluation and Data Envelopment Analysis," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 51(4), October.
    21. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    22. Barr, Nicholas, 2004. "Higher education funding," LSE Research Online Documents on Economics 288, London School of Economics and Political Science, LSE Library.
    23. Gattoufi, Said & Oral, Muhittin & Reisman, Arnold, 2004. "A taxonomy for data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 38(2-3), pages 141-158.
    24. Fandel, Gunter, 2007. "On the performance of universities in North Rhine-Westphalia, Germany: Government's redistribution of funds judged using DEA efficiency measures," European Journal of Operational Research, Elsevier, vol. 176(1), pages 521-533, January.
    25. Marie-Laure Bougnol & José Dulá, 2006. "Validating DEA as a ranking tool: An application of DEA to assess performance in higher education," Annals of Operations Research, Springer, vol. 145(1), pages 339-365, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Larrán-Jorge, Manuel & García-Correas, Ángel, 2015. "¿Influyen los modelos de financiación autonómicos en la eficiencia de las universidades públicas españolas?," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 162-173.
    2. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    3. Renato A. Villano & Carolyn‐Dung T. T. Tran, 2021. "Survey on technical efficiency in higher education: A meta‐fractional regression analysis," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 110-135, February.
    4. Tzeremes, Nickolaos & Halkos, George, 2010. "A DEA approach for measuring university departments’ efficiency," MPRA Paper 24029, University Library of Munich, Germany.
    5. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    6. Manuel Salas-Velasco, 2020. "Measuring and explaining the production efficiency of Spanish universities using a non-parametric approach and a bootstrapped-truncated regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 825-846, February.
    7. Joanna Wolszczak-Derlacz & Aleksandra Parteka, 2011. "Efficiency of European public higher education institutions: a two-stage multicountry approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 887-917, December.
    8. Yolanda Fernández-Santos & Almudena Martínez-Campillo & José Miguel Fernández-Fernández, 2015. "Determinantes de la eficiencia en las universidades públicas españolas: un análisis DEA en dos etapas," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 25, pages 491-508, Asociación de Economía de la Educación.
    9. George E. Halkos & Nickolaos G. Tzeremes & Stavros A. Kourtzidis, 2012. "Measuring Public Owned University Departments' Efficiency: A Bootstrapped DEA Approach," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 55(2), pages 1-24.
    10. Sunil Kumar Jauhar & Millie Pant & Richa Dutt, 2018. "Performance measurement of an Indian higher education institute: a sustainable educational supply chain management perspective," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 180-193, February.
    11. Sanjeet Singh & Prabhat Ranjan, 2018. "Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher education," Annals of Operations Research, Springer, vol. 269(1), pages 641-666, October.
    12. Yolanda Fernández-Santos & Almudena Martínez-Campillo & José Miguel Fernández-Fernández, 2016. "¿Son eficientes en docencia, investigación y transferencia de conocimiento las universidades públicas españolas? Medida y determinantes," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 35, pages 637-652, Asociación de Economía de la Educación.
    13. Ding, Lan & Zeng, Yao, 2015. "Evaluation of Chinese higher education by TOPSIS and IEW — The case of 68 universities belonging to the Ministry of Education in China," China Economic Review, Elsevier, vol. 36(C), pages 341-358.
    14. José França & João Figueiredo & Jair Lapa, 2010. "A DEA methodology to evaluate the impact of information asymmetry on the efficiency of not-for-profit organizations with an application to higher education in Brazil," Annals of Operations Research, Springer, vol. 173(1), pages 39-56, January.
    15. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2018. "Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model," Journal of Informetrics, Elsevier, vol. 12(1), pages 10-30.
    16. Kerstin Pull & Birgit Pferdmenges & Uschi Backes-Gellner, 2017. "Do Research Training Groups Operate at Optimal Size?," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 18(2), pages 129-145, May.
    17. Mishra, Neelesh Kumar & Chakraborty, Abhishek & Singh, Sanjeet & Ranjan, Prabhat, 2023. "Efficiency analysis of engineering colleges in India: Decomposition into parallel sub-processes systems," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    18. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    19. Lars Herberholz & Berthold U. Wigger, 2020. "Efficiency of European Universities: A Comparison of Peers," CESifo Working Paper Series 8044, CESifo.
    20. Navas, Lina P. & Montes, Felipe & Abolghasem, Sepideh & Salas, Ricardo J. & Toloo, Mehdi & Zarama, Roberto, 2020. "Colombian higher education institutions evaluation," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).

    More about this item

    Keywords

    Eficiencia; universidades; evaluación de la investigación; DEA;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aec:ieed05:05-36. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Domingo P. Ximénez-de-Embún (email available below). General contact details of provider: https://edirc.repec.org/data/aedeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.