Multi-output profit efficiency and directional distance functions

Decomposing profit efficiency using a slack-based directional distance function

This paper develops a slack-based decomposition of profit efficiency based on a directional distance function.

Using Directional Distance Functions to Determine Ranking Ranges in Cross-efficiency Evaluations

Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach

Estimation of efficiency of firms in a non-competitive market characterized by heterogeneous inputs and outputs along with their varying prices is questionable when factor-based technology sets are used in data envelopment analysis (DEA). In this scenario, a value-based technology becomes an appropriate reference technology against which efficiency can be assessed. In this contribution, the val...

Environmental Regulation and Firm Efficiency: Studying the Porter Hypothesis using a Directional Output Distance Function

The purpose of this paper is to suggest a procedure to empirically test the Porter hypothesis. This hypothesis argues that environmental regulation not only increases environmental quality, but also brings the polluting producers information that makes them more resource efficient, as well as able to develop new technologies. Specifically, the hypothesis tested is whether there is a positive si...

Measuring robust overall profit efficiency with uncertainty in input and output price vectors

The classic overall profit needs precise information of inputs, outputs, inputs and outputs price vectors. In real word, all data are not certain. Therefore, in this case, stochastic and fuzzy methods use for measuring overall profit efficiency. These methods require more information about the data such as probability distribution function or data membership function, which in some cases may no...