The paper reviews the application of the data envelopment analysis (DEA) method for measuring the efficiency of … national innovation systems (NIS). The paper firstly visualizes the logic of DEA method and briefly summarizes the key … advantages and main limitations of the DEA method. Further, this paper provides a comprehensive review of 11 empirical studies on …

envelopment analysis (DEA) by presenting a cluster-adjusted DEA model (DEA with cluster approach). This analysis, based on … consisting of 122 U.S agricultural banks across 37 states from 2000 to 2017 to estimate the cluster-adjusted DEA model. Empirical … results show differences in the estimated DEA efficiency measures with and without a clustering approach. Furthermore, using …

(DEA) and calculating partial productivity measures. The results of the study show that, on average, blue sectors report …

the data envelopment analysis (DEA) to estimate and compare the relative performance of the 50 SGs in a single measure …

, on the profitability as a measure of bank performance. After that, through the value-based data envelopment analysis (DEA …

When benchmarking production units by non-parametric methods like data envelopment analysis (DEA), an assumption has to … frontiers across samples of producers. Until now, no exact tests for examining returns to scale assumptions in DEA, or for test … test for the hypothesis of constant returns to scale in DEA. The others are tests for general frontier differences and …

analysis of nine selected insurance companies in the period 2007-2018, using DEA window analysis. The analysis and …