Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/210750
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Campo DC Valor Lengua/Idioma
dc.contributor.authorFernandez Tuesta, Estebanes_ES
dc.contributor.authorGarcia Zorita, Carloses_ES
dc.contributor.authorRomera Ayllon, Rosarioes_ES
dc.contributor.authorSanz-Casado, Elíases_ES
dc.date.accessioned2020-05-07T11:48:43Z-
dc.date.available2020-05-07T11:48:43Z-
dc.date.issued2019-
dc.identifier.citationJournal of Data and Information Science 4(2): 56-78 (2019)es_ES
dc.identifier.issn2096-157X-
dc.identifier.urihttp://hdl.handle.net/10261/210750-
dc.descriptionEste artículo está sujeto a una licencia CC BY 4.0es_ES
dc.description.abstractPurpose: Study how economic parameters affect positions in the Academic Ranking of World Universities' top 500 published by the Shanghai Jiao Tong University Graduate School of Education in countries/regions with listed higher education institutions. Design/methodology/approach: The methodology used capitalises on the multi-variate characteristics of the data analysed. The multi-colinearity problem posed is solved by running principal components prior to regression analysis, using both classical (OLS) and robust (Huber and Tukey) methods. Findings: Our results revealed that countries/regions with long ranking traditions are highly competitive. Findings also showed that some countries/regions such as Germany, United Kingdom, Canada, and Italy, had a larger number of universities in the top positions than predicted by the regression model. In contrast, for Japan, a country where social and economic performance is high, the number of ARWU universities projected by the model was much larger than the actual figure. In much the same vein, countries/regions that invest heavily in education, such as Japan and Denmark, had lower than expected results. Research limitations: Using data from only one ranking is a limitation of this study, but the methodology used could be useful to other global rankings. Practical implications: The results provide good insights for policy makers. They indicate the existence of a relationship between research output and the number of universities per million inhabitants. Countries/regions, which have historically prioritised higher education, exhibited highest values for indicators that compose the rankings methodology; furthermore, minimum increase in welfare indicators could exhibited significant rises in the presence of their universities on the rankings. Originality/value: This study is well defined and the result answers important questions about characteristics of countries/regions and their higher education system.es_ES
dc.description.sponsorshipThis research was funded by CAPES (Coordinação de Aperfeiçoamento do Ensino) grant N. BEX 8354/13-8 awarded to Esteban Fernández Tuesta. The authors thank the anonymus reviewers for their useful remarks.es_ES
dc.languageeng-
dc.publisherChinese Academy of Scienceses_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.subjectAcademic Ranking of World Universitieses_ES
dc.subjectSocio-economic indicatorses_ES
dc.subjectRegression analysises_ES
dc.titleDoes a Country/Region's Economic Status Affect Its Universities' Presence in International Rankings?es_ES
dc.typeartículoes_ES
dc.identifier.doi10.2478/jdis-2019-0009-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.2478/jdis-2019-0009es_ES
dc.date.updated2020-05-07T11:48:43Z-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderFundaçao Capes (Brasil)es_ES
dc.relation.csices_ES
dc.contributor.orcidSanz-Casado, Elías [0000-0002-0188-7489]es_ES
dc.contributor.orcidFernandez Tuesta, Esteban [0000-0002-0087-3405]es_ES
dc.contributor.orcidGarcia Zorita, Carlos [0000-0002-6860-8069]es_ES
dc.contributor.orcidRomera Ayllon, Rosario [0000-0002-6757-0580]es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairetypeartículo-
Aparece en las colecciones: (CCHS-IFS) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato
country_regions.pdf1,86 MBAdobe PDFVista previa
Visualizar/Abrir
Show simple item record

CORE Recommender

SCOPUSTM   
Citations

10
checked on 29-mar-2024

WEB OF SCIENCETM
Citations

10
checked on 20-feb-2024

Page view(s)

152
checked on 24-abr-2024

Download(s)

120
checked on 24-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


Este item está licenciado bajo una Licencia Creative Commons Creative Commons