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Jiang Li; Chen Zhu; Mark Goh – Research Evaluation, 2025
Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…
Descriptors: Foreign Countries, Research and Development, COVID-19, Pandemics
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Testa, Giuseppina; Szkuta, Katarzyna; Cunningham, Paul N. – Research Evaluation, 2019
Responding to the lack of in-depth research into the effects of R&D grants for scale-ups, this article examines how they impact upon firms' employment, firm economic and innovative performance, and firm innovative activities. Drawing on both policy evaluations and empirical literature relating to R&D programmes and firms' outputs, it…
Descriptors: Research and Development, Grants, Productivity, Innovation