Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach. Issue 4 (October 2015)

• Record Type: Journal Article
• Authors: Lee, Seonghee; Lee, Hakyeon
• Is Part Of: Journal of informetrics. Volume 9:Issue 4(2015:Oct.)
• Page Start: 942
• Page End: 953
• Publication Date: 2015-10
• Subjects: R&D performance -- R&D efficiency -- Government research institute (GRI) -- Data envelopment analysis (DEA) -- Bottom-up approach; Library statistics -- Periodicals; Information science -- Statistical methods -- Periodicals; Bibliometrics -- Periodicals; Bibliothèques -- Statistiques -- Périodiques; Sciences de l'information -- Méthodes statistiques -- Périodiques; Bibliométrie -- Périodiques; 020.727
• DOI: 10.1016/j.joi.2015.10.001
• Languages: English
• ISSNs: 1751-1577

Abstract

Highlights: This paper measures the R&D performance of government research institutes (GRIs). The bottom-up approach based on data envelopment analysis (DEA) is proposed. DEA is run to measure R&D efficiency of projects carried out by GRIs. Nonparametric statistical tests are run to compare the R&D performance of GRIs. The bottom-up DEA approach is applied to the 10 Korean GRIs for applied research. 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.