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The research productivity of universities. A multilevel and multidisciplinary analysis on European institutions
Journal of Informetrics ( IF 3.4 ) Pub Date : 2021-02-03 , DOI: 10.1016/j.joi.2020.101129
Andrea Bonaccorsi , Paola Belingheri , Luca Secondi

The paper makes use of a novel dataset at European level which includes data on academic staff and students of universities from official National Statistical Authorities, bibliometric indicators on publications, and socio-economic indicators at regional level. The dataset covers all European countries. The unit of analysis is a combination between teaching activities at the level of Field of Education and publications classified by Field of Science, resulting in five major integrated areas of STEM (Science; Engineering; Computer Science; Agriculture; Medicine). Using a multilevel modeling framework and comparing results across disciplinary areas the paper finds strong support for peer effects at institutional level and for the positive effect of international collaborations and attraction of foreign PhD students. It does not find support for economies of scale in research, institutional age, specialization effects and private vs private governance. The external regional environment has an impact on research productivity only in applied disciplines.



中文翻译:

大学的研究生产力。对欧洲机构的多层次和多学科分析

本文利用了欧洲一级的新数据集,其中包括来自官方国家统计局的大学教职员工和学生的数据,出版物的文献计量指标以及区域一级的社会经济指标。该数据集涵盖了所有欧洲国家。分析单位是教育领域水平的教学活动与科学领域分类的出版物之间的结合,从而形成了STEM的五个主要集成领域(科学,工程,计算机科学,农业,医学)。通过使用多层次的建模框架并比较各个学科领域的结果,本文发现了对机构级同伴效应以及国际合作和吸引外国博士学位学生的积极作用的大力支持。它没有在研究,机构时代,专业化效应以及私人与私人治理之间支持规模经济。外部区域环境仅对应用学科的研究生产率产生影响。

更新日期:2021-02-03
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