Unlocking university efficiency: a Bayesian stochastic frontier analysis
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Otros documentos de la autoría: García-Tórtola, Zaira; Conesa, David; Crespo, Joan; Tortosa-Ausina, Emili
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/8643
comunitat-uji-handle3:10234/8644
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Título
Unlocking university efficiency: a Bayesian stochastic frontier analysisFecha de publicación
2024-08-10Editor
John Wiley and Sons IncISSN
0969-6016Cita bibliográfica
García‐Tórtola, Z., Conesa, D., Crespo, J., & Tortosa‐Ausina, E. (2024). Unlocking university efficiency: a Bayesian stochastic frontier analysis. International Transactions in Operational Research.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://onlinelibrary.wiley.com/doi/full/10.1111/itor.13525Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
In this paper, we analyze the performance of the Spanish public university system over the 2010–2019 period, which was particularly turbulent due to the tight budget constraints imposed on universities. To disentangle ... [+]
In this paper, we analyze the performance of the Spanish public university system over the 2010–2019 period, which was particularly turbulent due to the tight budget constraints imposed on universities. To disentangle the main sources of performance change, we adopt a dynamic approach by decomposing it into efficiency change (catching up) and technical change (shifts in the frontier). In contrast to many studies on higher education institutions (HEIs), we opt for stochastic frontier analysis, employing the ray production function proposed by Löthgren (1997) to account for the multiple-output nature of HEIs. Additionally, to offer a more detailed examination of uncertainty quantification, we conduct inference within the Bayesian paradigm. Broadly, results point to an overall positive performance change over the entire period, particularly for technical change during 2010–2014. However, there were notable discrepancies across universities, which could be unlocked with certain precision via the posterior distributions of performance and its components. [-]
Publicado en
International Transactions in Operational Research, 2024.Entidad financiadora
Ministerio de Ciencia e Innovación | Universitat Jaume I | European Regional Development Fund | Generalitat Valenciana
Código del proyecto o subvención
PID2020‐115450GB‐I00 | UJI‐B2020‐27 | PID2022‐136455NB‐I00 | CIAICO/2022/165
Derechos de acceso
© 2024 The Author(s). International Transactions in Operational Research published by John Wiley & Sons Ltd on behalf of International Federation of Operational Research Societies.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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