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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Bert Balk, 2001. "Scale Efficiency and Productivity Change," Journal of Productivity Analysis, Springer, vol. 15(3), pages 159-183, May.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
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    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.

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    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

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