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

被引:11
作者
Tuesta, Esteban Fernandez [1 ,2 ]
Garcia-Zorita, Carlos [2 ,3 ,4 ,5 ]
Ayllon, Rosario Romera [4 ,6 ]
Sanz-Casado, Elias [2 ,3 ,4 ,5 ]
机构
[1] Univ Sao Paulo, Escola Aries Ciencias & Humanidades, Sao Paulo, Brazil
[2] Carlos III Univ Madrid, Dept Lib Sci & Documentat, Madrid, Spain
[3] Carlos III Univ Madrid, Lab Metr Studies Informat LEMI, Madrid, Spain
[4] Res Inst Higher Educ & Sci INAECU, Madrid, Spain
[5] Carlos III Univ Madrid, LEMI UC3M, Associated Unit IFS CSIC, Madrid, Spain
[6] Carlos III Univ Madrid, Dept Stat, Madrid, Spain
关键词
Academic Ranking of World Universities; Socio-economic indicators; Regression analysis; ACADEMIC RANKING; EDUCATION; EFFICIENCY; REGRESSION;
D O I
10.2478/jdis-2019-0009
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
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 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.
引用
收藏
页码:56 / 78
页数:23
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