Evaluating R&D performance of EU countries using categorical DEA


KARADAYI M. A., Ekinci Y.

Technology Analysis and Strategic Management, vol.31, no.2, pp.227-238, 2019 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 2
  • Publication Date: 2019
  • Doi Number: 10.1080/09537325.2018.1493191
  • Journal Name: Technology Analysis and Strategic Management
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.227-238
  • Keywords: Categorical data, data envelopment analysis, efficiency, R&D, EU
  • Istanbul Medipol University Affiliated: Yes

Abstract

Over the coming decade, Research and Development (R&D) performance will be the key component of bringing innovation and the determinant of global competitiveness of nations. Therefore, this paper presents categorical Data Envelopment Analysis (DEA) for evaluating R&D performance of European Union (EU) countries. We utilise the output-oriented constant returns to scale (CRS) and variable returns to scale (VRS) DEA models with categorical data, namely, CAT-O-C and CAT-O-V models. In addition to DEA based framework, to examine the relationship between R&D performance and political-regulatory-economic situation of the countries; three research hypotheses are stated and their results are analysed. Policy implications about R&D activities can be derived for EU countries from the findings of this study.