EconPapers    
Economics at your fingertips  
 

Funding, evaluation, and the performance of national research systems

Ulf Sandström and Peter Van den Besselaar

Journal of Informetrics, 2018, vol. 12, issue 1, 365-384

Abstract: Understanding the quality of science systems requires international comparative studies, which are difficult because of the lack of comparable data especially about inputs in research. In this study, we deploy an approach based on change instead of on levels of inputs and outputs: an approach that to a large extent eliminates the problem of measurement differences between countries. We firstly show that there are large differences in efficiency between national science systems, defined as the increase in output (highly cited papers) per percentage increase in input (funding). We then discuss our findings using popular explanations of performance differences: differences in funding systems (performance related or not), differences in the level of competition, differences in the level of university autonomy, and differences in the level of academic freedom. Interestingly, the available data do not support these common explanations. What the data suggest is that efficient systems are characterized by a well-developed ex post evaluation system combined with considerably high institutional funding and relatively low university autonomy (meaning a high autonomy of professionals). On the other hand, the less efficient systems have a strong ex ante control, either through a high level of so-called competitive project funding, or through strong power of the university management. Another conclusion is that more and better data are needed.

Keywords: Research policy; Input-output studies; Performance-based funding; Research efficiency; Bibliometrics; Citations (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157717302882
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:12:y:2018:i:1:p:365-384

Access Statistics for this article

Journal of Informetrics is currently edited by Leo Egghe

More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

 
Page updated 2018-05-05
Handle: RePEc:eee:infome:v:12:y:2018:i:1:p:365-384