 Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approachSeonghee Lee and Hakyeon Lee Journal of Informetrics, 2015, vol. 9, issue 4, 942-953 Abstract: Government-funded research institutes (GRIs) have played a pivotal role in national R&D in many countries. A prerequisite for achieving desired goals of GRIs with the limited R&D budget is to be able to effectively measure and compare R&D performance of GRIs. This paper proposes the bottom-up approach in which the performance of a GRI is measured based on the efficiency of its R&D projects. Data envelopment analysis (DEA) is employed to measure R&D efficiency of projects, and nonparametric statistical tests are run to measure and compare the R&D performance of GRIs. We apply the bottom-up DEA approach to the performance measurements of 10 Korean GRIs conducting a total of 1481 projects. The two alternatives for incorporating the relative importance of the output variables – the assurance region (AR) model and output integration – are also discussed. The proposed bottom-up approach can be used for formulating and implementing national R&D policy by effectively assessing the performance of GRIs. Keywords: R&D performance; R&D efficiency; Government research institute (GRI); Data envelopment analysis (DEA); Bottom-up approach (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:9:y:2015:i:4:p:942-953 DOI: 10.1016/j.joi.2015.10.001 Access Statistics for this article Journal of Informetrics is currently edited by Leo Egghe More articles in Journal of Informetrics from Elsevier |
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