Industrial performance of the top R&D enterprises in world-leading economies: A metafrontier approach
Economics and Econometrics
China
comparative analysis
R&D
Economics
metafrontier approach
raziskave in razvoj
European union
Social Sciences
Economic Impact of Environmental Policies and Resources
Efficiency Analysis in Production and Resource Allocation
International trade
Management Science and Operations Research
Evolution of Firm Size and Growth Dynamics
research and development
Decision Sciences
Productivity Growth
info:eu-repo/classification/udc/330.542:338.45
Data envelopment analysis
FOS: Mathematics
Business
Economic growth
uspešnost podjetij za raziskave in razvoj
Productivity
Industrial organization
primerjalna analiza
industrial enterprises
Geography
Mathematical optimization
Economy
Goods and services
Computer science
World Wide Web
industrijska učinkovitost
Economics, Econometrics and Finance
Archaeology
metaanaliza
data envelopment analysis
R&D performance
Mathematics
Index (typography)
DOI:
10.1016/j.seps.2023.101698
Publication Date:
2023-07-31T15:09:19Z
AUTHORS (4)
ABSTRACT
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 industrial enterprises. Considering the heterogeneity background across countries, this study examines R&D performance from 2016 2020 by comparing productivity of top enterprises world-leading economies industries. The metafrontier approach Malmquist index using data envelopment analysis inferential statistics are employed an empirical 1155 European Union (EU), United States (US), Japan, China operating six different results reveal that has improved over time, last year observed. Moreover, US was most productive, whereas exhibited worst levels. Finally, despite Consumer Goods & Services presenting best average performance, highest improvements observed more recently, especially Healthcare Pharmaceuticals ICT Services. suggest addition technology gaps, COVID-19 pandemic had important implications for findings can guide efficiency consequently facilitate evidence-based decision-making business sector policymaking at national level.
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