Cone ratios, assurance regions and similar data envelopment analysis (DEA) approaches measuring the efficiency of decision making units (DMU) restrict their ability to “show themselves in the most favorable light”. Indeed they limit the relations or the multipliers of inputs and outputs as...

Decision-based production theory is a generalization of traditional production theories developed in order to integrate concerns of modern management science and economics, such as sustainability and environmental protection. The main idea is the distinction of technologically determined inputs...

A recent article of Dakpo, Jeanneaux and Latruffe critically reviews the developments, limits and future prospects of integrating environmental aspects into productive efficiency evaluation with Data Envelopment Analysis (DEA). In particular, it is concluded that multiple frontier technologies...

Stochastic Non-smooth Envelopment of Data (StoNED) is a semi-parametric and stochastic method of efficiency measurement that combines some of the virtues of the classical counterparts, namely Stochastic Frontier Analysis (SFA) versus Data Envelopment Analysis (DEA). Recently, it has been...

After 40 years of research with thousands of application-oriented scientific papers, empirical evidence that data envelopment analysis (DEA) has really improved the practice of performance measurement and benchmarking in real-life non-production contexts is rare. The main reason for this deficit...

Free or strong disposability is a common assumption in orthodox economics and is often postulated in axiomatic approaches to efficiency measurement that uses methods of data envelopment analysis (DEA). It states that it should always be possible to increase the input quantities or decrease the...