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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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Ulferts, Gregory W.; Cannon, Nicholas J.; Howard, Terry L. – Research in Higher Education Journal, 2021
This research seeks to describe the continuing predicament of R&D funding in the U.S. and to provide support for a return to higher R&D spending as a proportion of GDP to maintain American leadership in innovation. Historically, government investment has funded most foundational scientific research leading to technological advances in…
Descriptors: Research and Development, Financial Support, Scientific Research, Federal Aid