dc.contributor.author | Yuleni Castro Peña, Mónica | |
dc.date.accessioned | 2024-06-26T08:00:16Z | |
dc.date.available | 2024-06-26T08:00:16Z | |
dc.date.issued | 2022-06-23 | |
dc.identifier.uri | http://elea.unisa.it/xmlui/handle/10556/7132 | |
dc.description | 2020 - 2021 | it_IT |
dc.description.abstract | The National Accreditation Council certify universities with high institutional quality
developed through their internal improvement processes, determined in a competitive context
of decreasing demand. In this regard, it is useful to provide these universities with
information about: their performance and their changes over time, reference groups,
mechanisms able to achieving better performance, and analysis about possible external
factors which could affect the results. This information can represent a basis for sound
decision-making about resource management and policy creation that helps the regulators
and policy-makers to make appropriate decisions in order to provide high quality education.
Thus, we propose a non-parametric approach, based on Data Envelopment Analysis (DEA)
method, assuming variable return scale, in order to calculate the universities’ performance.
Moreover, a productivity index suggested by Malmquist has also been implemented to
measure the changes over time of the universities’ performance. We implement different
combinations and variables that describe the three key missions of universities and evaluate
them from a separate and a global perspective.
Finally, in order to check how external factors could affect the universities’ performance, our
analysis concludes implementing both non-parametric approach (double-bootstrap-DEA)
and parametric approach (Stochastic Frontier Analysis-SFA) that follows a production
function specification Cobb-Douglas (CD). In both approaches, we follow a truncated
regression. The analysis is performed on a sample of Colombian universities, both public and
private.
The analysis shows significant improvements, in terms of performance, needed to achieve
university missions, in particular for research and knowledge transfer. Furthermore, the
analysis shows that the Gini indicator (proxy of the poverty) influences in particular the
teaching activities, while the gross domestic product (proxy of the economic development of
the territory) and the age of the university (proxy of the reputational status of universities)
have a strong impact on research and knowledge transfer activities. These results highlight
not only interesting policy implications policy, but also the need for further research in this
area. [edited by Author] | it_IT |
dc.language.iso | en | it_IT |
dc.publisher | Universita degli studi di Salerno | it_IT |
dc.subject | Higher education institutions | it_IT |
dc.subject | Performance | it_IT |
dc.subject | Semiparametric and non parametric methods | it_IT |
dc.title | Institutional Missions, Performance, and External Factors. The Case of High- quality Colombian Universities | it_IT |
dc.type | Doctoral Thesis | it_IT |
dc.subject.miur | SECS P/02 POLITICA ECONOMICA | it_IT |
dc.contributor.coordinatore | Amendola, Alessandra | it_IT |
dc.description.ciclo | XXXIV ciclo | it_IT |
dc.contributor.tutor | Barra, Cristian | it_IT |
dc.identifier.Dipartimento | Scienze Economiche e Statistiche | it_IT |