Applications of data envelopment analysis (DEA) models show that inadequate results may arise in some cases, two of these inadequacies being: (1) too many efficient units may appear in some DEA models; (2) a DEA model may show an inefficient unit from the point of view of experts as an efficient...

This paper examines changes in the labor productivity, efficiency, technology, and physical and human capital experienced by different regions in Italy between 1980 and 2006. Cobb-Douglas and translog production specifications are not supported by the data. Thus, non-parametric methods are used...

Sensitivity of the returns to scale (RTS) classifications in data envelopment analysis is studied by means of linear programming problems. The stability region for an observation preserving its current RTS classification (constant, increasing or decreasing returns to scale) can be easily...

Evaluating group performance of decision-making units (DMUs) is an application of data envelopment analysis (DEA) and usually provides a measure to compare the frontiers of the production possibility sets (PPSs) corresponding to different groups and the internal inefficiencies of DMUs associated...

The study results presented here are derived from a process whose purpose was the initial deployment and use of the data envelopment analysis techniques and linear programming in R environment to verify the feasibility of transferring tools supporting analyzes conducted after the project...

Using the stochastic frontier analysis (SFA) model, we estimate total-factor energy efficiency (TFEE) scores for 47 regions across Japan during 1996–2008. We extend the cross-sectional SFA model proposed by Zhou et al. (Applied Energy, 2012) to panel data models and add environmental...

Super-efficiency data envelopment analysis (SE-DEA) models are expressions of the traditional DEA models featuring the exclusion of the unit under evaluation from the reference set. The SE-DEA models have been applied in various cases such as sensitivity and stability analysis, measurement of...

Measuring and improving the efficiency of the Chinese commercial banking system has recently attracted increasing interest. Few studies, however, have adopted the two-stage network DEA to explore this issue in the Chinese context. Because the entire operational process of the banking system...

The casino entertainment industry is an intensely competitive environment with many operational risks, explaining why casino managers highly prioritize performance evaluation. This study develops a performance evaluation model based on data envelopment analysis (DEA) to determine casino...