Industrial performance of the top R&D enterprises in world-leading economies : a metafrontier approach

Aristovnik, Aleksander (author), Yang, Guo-liang (author), Song, Yao-yao (author), Ravšelj, Dejan (author)

Faced with increasingly prominent challenges in developing a knowledge-based economy, many countries have attached great importance to research and development (R&D) activities, particularly in industrial enterprises. Considering the heterogeneity in the development background across countries, this study examines industrial R&D performance from 2016 to 2020 by comparing the productivity of the top R&D enterprises across world-leading economies and industries. The metafrontier approach and the Malmquist productivity index using data envelopment analysis and inferential statistics are employed in an empirical analysis of 1155 enterprises in the European Union (EU), the United States (US), Japan, and China operating in six different industries. The results reveal that R&D productivity has improved over time, particularly in the last year observed. Moreover, the US was the most productive, whereas China exhibited the worst productivity levels. Finally, despite Consumer Goods & Services presenting the best average R&D performance, the highest improvements are observed more recently, especially in Healthcare & Pharmaceuticals and ICT Goods & Services. The results suggest that in addition to technology gaps, the COVID-19 pandemic had important implications for the industrial performance of top R&D enterprises. The findings of this research can guide improvements in R&D efficiency and consequently facilitate evidence-based decision-making in the business sector and policymaking at the national level.

• Language: English
• Keywords: R&D performance, industrial enterprises, data envelopment analysis, metafrontier approach, comparative analysis, research and development
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FU - Faculty of Administration
• Publication status: Published
• Publication version: Version of Record
• Year: 2023
• Number of pages: 15 str.
• Numbering: Vol. 89, art. 101698
• PID: 20.500.12556/RUL-153107
• UDC: 330.542:338.45
• ISSN on article: 1873-6041
• DOI: 10.1016/j.seps.2023.101698
• COBISS.SI-ID: 161227523
• Publication date in RUL: 18.12.2023

Record is a part of a journal

• Title: Socio-economic planning sciences
• Publisher: Elsevier
• ISSN: 1873-6041
• COBISS.SI-ID: 23246341

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: uspešnost podjetij za raziskave in razvoj, industrijska učinkovitost, metaanaliza, raziskave in razvoj, primerjalna analiza