Revisiting size effects in higher education research productivity
arXiv:1811.01655 · doi:10.1007/s10734-011-9471-6
Abstract
The potential occurrence of variable returns to size in research activity is a factor to be considered in choices about the size of research organizations and also in the planning of national research assessment exercises, so as to avoid favoring those organizations that would benefit from such occurrence. The aim of the current work is to improve on weaknesses in past inquiries concerning returns to size through application of a research productivity measurement methodology that is more accurate and robust. The method involves field-standardized measurements that are free of the typical distortions of aggregate measurement by discipline or organization. The analysis is conducted for 183 hard science fields in all 77 Italian universities (time period 2004-2008) and allows detection of potential differences by field.
References in corpus (4)
- A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments
- Allocative efficiency in public research funding:can bibliometrics help?
- A field-standardized application of DEA to national-scale research assessment of universities
- The dangers of performance-based research funding in non-competitive higher education systems
Cited by in corpus (13)
- How do you define and measure research productivity?
- The impact of unproductive and top researchers on overall university research performance
- Should the research performance of scientists be distinguished by gender?
- The north-south divide in the Italian higher education system
- Ranking research institutions by the number of highly-cited articles per scientist
- Relatives in the same university faculty: nepotism or merit?
- The ratio of top scientists to the academic staff as an indicator of the competitive strength of universities
- A multivariate stochastic model to assess research performance
- From rankings to funnel plots: the question of accounting for uncertainty when measuring university research performance
- The spin-off of elite universities in non-competitive, undifferentiated higher education systems: an empirical simulation in Italy
- A comparison of university performance scores and ranks by MNCS and FSS
- Funnel plots for visualizing uncertainty in the research performance of institutions
- A methodology to compute the territorial productivity of scientists: The case of Italy