IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v58y2024i1d10.1007_s11135-023-01627-6.html
   My bibliography  Save this article

Research and knowledge transfer performance in Colombian universities

Author

Listed:
  • Cristian Barra

    (University of Salerno
    University of Salerno)

  • Mónica Y. Castro-Peña

    (University of Salerno
    Catholic University of Pereira)

  • Jesús Gabalán Coello

    (PENSER Corporation
    ICESI University)

Abstract

This study analyzes the performance of Colombian universities in their research and knowledge transfer (KT) objectives in the period 2016–2018. The methodology was based on Data Envelopment Analysis models with Variable Return Scale and a Malmquist Productivity Index (MPI) using different combinations of variables, considering the sensitivity of performance according to the type of variables used for its measurement. The results allowed us to identify significant gaps in research output among the studied universities. Publications and patents are the main variables that influence these differences in university performance and impact their scores. On the other hand, the MPI analysis made it possible to identify that most of the universities with the most significant improvements in the analyzed period correspond to private universities, and it was possible to recognize the importance of institutional efforts and strategies as an explanatory factor for progress in the performance of universities in the studied objectives. The results obtained formed the starting point for the discussion about the implications of some incentive policies at the national and institutional level for academic production. We also refer to the KT opportunities for Colombian universities and the measures required to promote their development.

Suggested Citation

  • Cristian Barra & Mónica Y. Castro-Peña & Jesús Gabalán Coello, 2024. "Research and knowledge transfer performance in Colombian universities," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 77-96, February.
  • Handle: RePEc:spr:qualqt:v:58:y:2024:i:1:d:10.1007_s11135-023-01627-6
    DOI: 10.1007/s11135-023-01627-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-023-01627-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-023-01627-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Agasisti, Tommaso & Barra, Cristian & Zotti, Roberto, 2016. "Evaluating the efficiency of Italian public universities (2008–2011) in presence of (unobserved) heterogeneity," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 47-58.
    3. Bert Balk, 2001. "Scale Efficiency and Productivity Change," Journal of Productivity Analysis, Springer, vol. 15(3), pages 159-183, May.
    4. Eva M. de la Torre & Tommaso Agasisti & Carmen Perez-Esparrells, 2017. "The relevance of knowledge transfer for universities’ efficiency scores: an empirical approximation on the Spanish public higher education system," Research Evaluation, Oxford University Press, vol. 26(3), pages 211-229.
    5. 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.
    6. Angelika Jaeger & Johannes Kopper, 2014. "Third mission potential in higher education: measuring the regional focus of different types of HEIs," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 34(2), pages 95-118, October.
    7. Jelena Stankevičienė & Lidija Kraujalienė & Agnė Vaiciukevičiūtė, 2017. "Assessment of technology transfer office performance for value creation in higher education institutions," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(6), pages 1063-1081, November.
    8. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2019. "Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 819-849, November.
    9. Siegel, Donald S. & Waldman, David & Link, Albert, 2003. "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research Policy, Elsevier, vol. 32(1), pages 27-48, January.
    10. 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).
    11. Kudła Janusz & Stachowiak-Kudła Monika & Figurski Adam, 2016. "Quality of Teaching and Research in Public Higher Education in Poland: Relationship with Financial Indicators and Efficiency," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 24(4), pages 88-108, December.
    12. Delimiro Visbal-Cadavid & Mónica Martínez-Gómez & Francisco Guijarro, 2017. "Assessing the Efficiency of Public Universities through DEA. A Case Study," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    13. José Manuel Pastor & Lorenzo Serrano, 2016. "The determinants of the research output of universities: specialization, quality and inefficiencies," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1255-1281, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dip Juan Antonio & Domínguez Casoratti David & Costa de Arguibel Facundo, 2024. "La productividad de las universidades públicas nacionales argentinas en el período 2013-2022. Descomponiendo al Índice de Malmquist en cambios técnicos globales y locales," Asociación Argentina de Economía Política: Working Papers 4728, Asociación Argentina de Economía Política.

    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. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2022. "Combining reference point based composite indicators with data envelopment analysis: application to the assessment of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4363-4395, August.
    2. Liu, An-Chi & Kuo, Shew-Huei & Guo, Chao-Ling & Li, Yang, 2024. "Sustainable finance analysis of commercial banks in China," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    3. Joan Crespo & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2020. "Does university performance have an economic payoff for their home regions? Evidence for the Spanish provinces," Working Papers 2020/20, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Jradi, Samah & Bouzdine Chameeva, Tatiana & Aparicio, Juan, 2019. "The measurement of revenue inefficiency over time: An additive perspective," Omega, Elsevier, vol. 83(C), pages 167-180.
    5. Andreas Eder & Bernhard Mahlberg & Bernhard Stürmer, 2021. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 37-63, February.
    6. Aparicio, Juan & Ortiz, Lidia & Santín, Daniel, 2021. "Comparing group performance over time through the Luenberger productivity indicator: An application to school ownership in European countries," European Journal of Operational Research, Elsevier, vol. 294(2), pages 651-672.
    7. Varun Mahajan & D. K. Nauriyal & S. P. Singh, 2020. "Domestic market competitiveness of Indian drug and pharmaceutical industry," Review of Managerial Science, Springer, vol. 14(3), pages 519-559, June.
    8. Alinezhad , Alireza & Nasiri Sadeghloo , Mohammad Javad, 2016. "Application of Malmquist Index in Two-Stage DEA for Measurement of Productivity Growth," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 11(1), pages 31-51, January.
    9. Lin, Ruiyue & Peng, Yudan, 2024. "A new cross-efficiency meta-frontier analysis method with good ability to identify technology gaps," European Journal of Operational Research, Elsevier, vol. 314(2), pages 735-746.
    10. Ebrahimi, Bohlool & Dhamotharan, Lalitha & Ghasemi, Mohammad Reza & Charles, Vincent, 2022. "A cross-inefficiency approach based on the deviation variables framework," Omega, Elsevier, vol. 111(C).
    11. Delimiro Visbal-Cadavid & Mónica Martínez-Gómez & Francisco Guijarro, 2017. "Assessing the Efficiency of Public Universities through DEA. A Case Study," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    12. Zarrin, Mansour & Brunner, Jens O., 2023. "Analyzing the accuracy of variable returns to scale data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1286-1301.
    13. Xiaoying Guo & Wei Wei & Yang Li & Lei-Ya Wang, 2019. "A Study of Different Types of Air Pollutants on the Efficiency of China’s Hotel Industry," IJERPH, MDPI, vol. 16(22), pages 1-13, November.
    14. Madau, Fabio A., 2012. "Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis(DEA) Models," MPRA Paper 41403, University Library of Munich, Germany.
    15. Alexander Arévalo S & Víctor Giménez G & Diego Prior J, 2022. "Análisis de eficiencia en educación: una aplicación del método StoNED," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 92(2), pages 45-91, October.
    16. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fabio Pugini, 2008. "The measurement of Italian universities’ research productivity by a non parametric-bibliometric methodology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 225-244, August.
    17. Zaira García-Tórtola & David Conesa & Joan Crespo & Emili Tortosa-Ausina, 2024. "Unlocking University Efficiency: A Bayesian Stochastic Frontier Analysis," Working Papers 2024/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    18. Cui, Yuan & Ren, Xian-tong & He, Xi-jie & Yang, Guo-liang, 2023. "Is human and financial investment in Chinese universities effective?," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    19. Meena Yadav & Shiv Prasad Yadav, 2022. "Performance efficiency measurement of MGNREGA 2018-19 in Indian States and Union Territories based on DEA," 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. 13(4), pages 1714-1721, August.
    20. Zhao, Yu & Morita, Hiroshi & Maruyama, Yukihiro, 2019. "The measurement of productive performance with consideration for allocative efficiency," Omega, Elsevier, vol. 89(C), pages 21-39.

    More about this item

    Keywords

    Higher education institutions; Data envelopment analysis; Malmquist index; Research; Knowledge transfer;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    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:spr:qualqt:v:58:y:2024:i:1:d:10.1007_s11135-023-01627-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.