IDEAS home Printed from https://ideas.repec.org/h/aec/ieed05/05-37.html
   My bibliography  Save this book chapter

Análisis de la eficiencia de los grupos de investigación por ramas de conocimiento

In: Investigaciones de Economía de la Educación 5

Author

Listed:
  • Teodoro Galache Laza

    (Universidad de Malaga)

  • Trinidad Gómez

    (Universidad de Málaga)

  • Fátima Pérez García

    (Universidad de Málaga)

  • Carlos Rivas

    (Universidad de Málaga)

  • Cristobal José Ruiz

    (Universidad de Málaga)

  • José Sánchez Maldonado

    (Universidad de Málaga)

  • Ángel Torrico González

    (Universidad de Málaga)

  • Rafael Caballero Fernandez

    (Universidad de Malaga)

Abstract

Este trabajo analiza, mediante el Análisis Envolvente de Datos (DEA), la eficiencia técnica del conjunto de grupos de investigación del sistema universitario de una comunidad autónoma, pertenecientes a las cinco ramas del conocimiento: Arte y Humanidades, Ciencias, Ciencias de la Salud, Ciencias Sociales y Jurídicas y, por último, Ingeniería y Arquitectura. Este estudio se complementa con un análisis cluster que ayuda a explicar los aspectos más relevantes de las ramas evaluadas (ventajas y/o debilidades). Nuestra aportación, por tanto, establece un modelo que puede ayudar a la toma de decisiones por parte de los órganos de gobierno de cualquier Comunidad Autónoma en la medida en que suministra información detallada y objetiva de las causas de las (in)eficiencia(s) de los diferentes grupos de investigación.

Suggested Citation

  • Teodoro Galache Laza & Trinidad Gómez & Fátima Pérez García & Carlos Rivas & Cristobal José Ruiz & José Sánchez Maldonado & Ángel Torrico González & Rafael Caballero Fernandez, 2010. "Análisis de la eficiencia de los grupos de investigación por ramas de conocimiento," 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 37, pages 733-744, Asociación de Economía de la Educación.
    • Handle: RePEc:aec:ieed05:05-37
    as

    Download full text from publisher

    File URL: http://repec.economicsofeducation.com/2010zaragoza/05-37.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Celik, Orhan & Ecer, Alaattin, 2009. "Efficiency in accounting education: evidence from Turkish Universities," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 20(5), pages 614-634.
    2. Lee, Hakyeon & Park, Yongtae & Choi, Hoogon, 2009. "Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach," European Journal of Operational Research, Elsevier, vol. 196(3), pages 847-855, August.
    3. Caballero, R. & Galache, T. & Gomez, 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, Elsevier, vol. 133(2), pages 298-309, January.
    4. Meng, Wei & Zhang, Daqun & Qi, Li & Liu, Wenbin, 2008. "Two-level DEA approaches in research evaluation," Omega, Elsevier, vol. 36(6), pages 950-957, December.
    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. Lee, Seonghee & Lee, Hakyeon, 2015. "Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach," Journal of Informetrics, Elsevier, vol. 9(4), pages 942-953.
    2. Jaehun Park & Joonyoung Kim & Si-Il Sung, 2017. "Performance Evaluation of Research and Business Development: A Case Study of Korean Public Organizations," Sustainability, MDPI, vol. 9(12), pages 1-16, December.
    3. Liu, Hui-hui & Song, Yao-yao & Liu, Xiao-xiao & Yang, Guo-liang, 2020. "Aggregating the DEA prospect cross-efficiency with an application to state key laboratories in China," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    4. Chen, Ping-Chuan & Hung, Shiu-Wan, 2016. "An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 303-312.
    5. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    6. Meløn, Mønica García & Aragonés Beltran, Pablo & Carmen González Cruz, M., 2008. "An AHP-based evaluation procedure for Innovative Educational Projects: A face-to-face vs. computer-mediated case study," Omega, Elsevier, vol. 36(5), pages 754-765, October.
    7. Jun Hong Park & Hyunseog Chung & Ki Hong Kim & Jin Ju Kim & Chulung Lee, 2021. "The Impact of Technological Capability on Financial Performance in the Semiconductor Industry," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    8. Ozer, Muammer, 2011. "Understanding the impacts of product knowledge and product type on the accuracy of intentions-based new product predictions," European Journal of Operational Research, Elsevier, vol. 211(2), pages 359-369, June.
    9. Kremantzis, Marios Dominikos & Beullens, Patrick & Kyrgiakos, Leonidas Sotirios & Klein, Jonathan, 2022. "Measurement and evaluation of multi-function parallel network hierarchical DEA systems," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    10. Sarker Jewel & Jongyi Hong & Chaechang Im, 2022. "Innovation Strategies for Textile Companies in Bangladesh: Development Using Quadrant Analysis Based on a Productivity Index," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    11. Young-Don Cho & Hoo-Gon Choi, 2013. "Principal parameters affecting R&D exploitation of nanotechnology research: a case for Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 881-899, September.
    12. Zhang, Daqun & Banker, Rajiv D. & Li, Xiaoxuan & Liu, Wenbin, 2011. "Performance impact of research policy at the Chinese Academy of Sciences," Research Policy, Elsevier, vol. 40(6), pages 875-885, July.
    13. Kong, Wei-Hsin & Fu, Tsu-Tan, 2012. "Assessing the performance of business colleges in Taiwan using data envelopment analysis and student based value-added performance indicators," Omega, Elsevier, vol. 40(5), pages 541-549.
    14. Vassili Joannides & Nicolas Berland & D. T. Wickramasinghe, 2010. "Post-Hofstede diversity/cultural studies: what contributions to accounting knowledge?," Grenoble Ecole de Management (Post-Print) hal-00676570, HAL.
    15. Mahdi Salehi, 2013. "A Study Of The Gap Between The Expected Specialized Skills Of Accounting Graduates And Actual Level In Iran," Far East Journal of Psychology and Business, Far East Research Centre, vol. 12(2), pages 10-33, July.
    16. Liu, W.B. & Zhang, D.Q. & Meng, W. & Li, X.X. & Xu, F., 2011. "A study of DEA models without explicit inputs," Omega, Elsevier, vol. 39(5), pages 472-480, October.
    17. BERBEGAL MIRABENT, Jasmina & SOLÉ PARELLADA, Francesc, 2012. "What Are We Measuring When Evaluating Universities’ Efficiency?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(3).
    18. Kim, Juram & Hong, Suckwon & Kang, Yubin & Lee, Changyong, 2023. "Domain-specific valuation of university technologies using bibliometrics, Jonckheere–Terpstra tests, and data envelopment analysis," Technovation, Elsevier, vol. 122(C).
    19. Ramanathan, Ramakrishnan & Ramanathan, Usha, 2010. "A qualitative perspective to deriving weights from pairwise comparison matrices," Omega, Elsevier, vol. 38(3-4), pages 228-232, June.
    20. Bao Jiang & Wenxue Feng & Jian Li, 2022. "Uncertain random data envelopment analysis for technical efficiency," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 1-20, March.

    More about this item

    Keywords

    Eficiencia Técnica; Análisis Envolvente de Datos; Análisis Cluster; Universidad; Investigación; Ramas de Conocimiento;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:ieed05:05-37. 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.