Evaluating the efficiency of the research sector in Russian regions: a dynamic environmental analysis

The nonparametric method of dynamic data envelopment analysis (DDEA) has become increasingly popular for conducting comparative efficiency evaluations. In recent years, (DDEA), a variant this method, gained significant attention. This article applies to evaluate the research sector in Russian regions. Traditional input variables such as number staff and R&D expenditure are considered, while publication patent metrics serve output indicators. covers substantial time period, spanning from 2009 2020. Notably, proposed evaluation incorporates quality measures carry-over variable, addition accumulated expenditure. study employs compare obtained results with previous evaluations technology findings demonstrate that serves valuable ranking technique, enhancing existing regions’ potential terms efficiency. concludes by discussing prospects limitations evaluating forecasting profiles