Does a Country/Region's Economic Status Affect Its Universities' Presence in International Rankings?

作     者：Esteban Fernandez Tuesta Carlos Garcia-Zorita Rosario Romera Ayllon Elias Sanz-Casado 

作者机构：Escola de ArtesCiencias e HumanidadesUniversidade de Sao PauloBrazil Department of Library Science and DocumentationCarlos III University of MadridSpain Laboratory of Metric Studies on Information(LEMI)Carlos III University of MadridSpain Research Institute for Higher Education and Science(INAECU)MadridSpain Associated Unit IFS(CSIC)-LEMI(UC3M)Carlos III University of MadridSpain Department of StatisticsCarlos III University of MadridSpain 

出 版 物：《Journal of Data and Information Science》 (数据与情报科学学报（英文版）)

年 卷 期：2019年第4卷第2期

页      面：56-78页

核心收录：

学科分类：040106[教育学-高等教育学] 02[经济学] 0202[经济学-应用经济学] 03[法学] 0302[法学-政治学] 0401[教育学-教育学] 04[教育学] 020206[经济学-国际贸易学] 030206[法学-国际政治] 020202[经济学-区域经济学] 

基　　金：funded by CAPES (Coordinacao de Aperfeicoamento do Ensino) grant N. BEX 8354/13-8 awarded to Esteban Fernández Tuesta 

主　　题：Academic Ranking of World Universities Socio-economic indicators Regression analysis 

摘      要：Purpose: 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 *** 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 ***/value: This study is well defined and the result answers important questions about characteristics of countries/regions and their higher education system.