Profit, Directional Distance Functions, and Nerlovian Efficiency

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...

Measuring the Relative Efficiency of IC Design Firms: A Directional Distance Functions and Meta-Frontier Approach

An alternative approach for evaluating the efficiency of integrated circuit (IC) design firms is presented in this paper. We took into account the differences between technology groups, containing one or more design firms, and input and output factors to prevent influences of scale (e.g., firm size). Specifically, we employed a directional distance function approach to data envelopment analysis...

Profit-oriented productivity change ¬リニ

This study develops an applicable profit-oriented productivity indicator when producers pursue profit maximization and can recognize input and output prices. We define the indicator, inspired by the Luenberger indicator and the Nerlovian efficiency measurement, in terms of both quantity distance functions and profit. Hence, the study's first stage decomposes the profit-oriented productivity cha...