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…

Evaluating Chinese publications about rural education and needed reforms presents several problems: political limits on educational debate; paucity of statistical data and reference citations; and complex ideological statements. Examination of nine journal and newspaper articles reveals that they cautiously endorse rural education reforms within…