In data envelopment analysis, there are several methods for measuring efficiency change over time, e.g. the window analysis and the Malmquist index. However, they usually neglect carry-over activities between consecutive two terms. These carry-overs play an important role in measuring the efficiency of decision making units in each term as well as over the whole terms based on the long-term vie...

Data envelopment analysis is a method for evaluating the relative efficiency of a collection of decision making units. The DEA classic models calculate each unit’s efficiency in the best condition, meaning that finds a weight that the DMU is at its maximum efficiency. In this paper, utilizing the directional distance function model in the presence of undesirable outputs, the efficiency of each ...

Over the last few years there have been increasing concerns about the energy mix in many countries. These concerns have been of greater magnitude for countries with a common energy regulation such as European Union (EU) member states. In order to choose a given energy mix, an important aspect to take into account is the efficiency involved to generate it. In this context, the present study anal...

Data Envelopment Analysis (DEA) is an efficient method to perform evaluation of units. In DEA we try to evaluate units with undesirable factors in input & outputs by satisfaction function, testing some models. On the other hand benefiting this concept, we can identify non-efficient units. Also we can recognize why these units are inefficient and calculate the reason of their inefficiency and ho...

In the past decade, corporate firms have globally increasingly adopted social responsibility (CSR) practices; however, so far less is known about how productivity change in presence of socially responsible and undesirable output can be evaluated. This paper develops a framework that integrates CSR dynamic by-production technology which captures transformation multiple inputs into marketed outpu...

The growing awareness on the multiple environmental impacts of livestock production has risen the necessity to widen the definition of efficiency to a multidimensional eco-efficiency concept. Our paper suggests a combined approach of a whole-farm agronomic model and frontier efficiency method to explore deeply the determinants of eco-efficiency. The whole-farm model used, GAMEDE, is randomly pa...