The units found strongly efficient in DEA studies on efficiency can be divided into self-evaluators and active peers, depending on whether the peers are referencing any inefficient units or not. The contribution of the paper starts with subdividing the selfevaluators into interior and exterior ones. The exterior self-evaluators are efficient “by default”; there is no firm evidence from observat...

Data envelopment analysis (DEA) is a non-parametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and outputs. It is based on solving linear programming problems. Since 1978 when basic DEA model was introduced many its modifications were formulated. Among them are two or multi-stage models with serial or parallel structure often called net...

According to the efficiency scores obtained by Data Envelopment Analysis (DEA), main problem for inefficient decision-making units (DMU) is factors that cause inefficiency. To deal with this problem, various studies have been handled, such as decomposing total score, and two-stage DEA which can divide whole process into two parts has developed. In study, independent models where called a black ...

Due to the rapid growth of COVID-19 data, this paper investigated an integrated approach for performance evaluation countries at any time pandemic. First, strategies implemented in were summarized three systems: prevention, infection detection, and medical. Then, input-output systems was identified. In Phase 1, after variable selection (tests, total cases, active recovered deaths), data collect...

This study uses a sample of 30 banks (4 public, 18 local private and 8 foreign banks) and two stage Data Envelopment Analysis (DEA) to provide evidence on the impact of macroeconomic and bank specific factors on banks’ efficiency. We first use DEA to estimate technical and scale efficiency and then Tobit regression approach to find out the impact of several bank-specific and macroeconomic facto...

BACKGROUND Providing health care services in Africa is hampered by severe scarcity of personnel, medical supplies and financial funds. Consequently, managers of health care institutions are called to measure and improve the efficiency of their facilities in order to provide the best possible services with their resources. However, very little is known about the efficiency of health care facilit...