Measurement efficiency in dynamic DEA

Too many models have been introduced to develop the productivity index based on DEA (Data Envelopment Analysis). All these models have their own advantages and disadvantages. One of the most famous models is the Malmquist productivity index. One of the most important objections of this model is the mathematical complexity of it. For example, four different models should be solved to evaluate productivity progress of one Decision Making Unit (DMU) in two different years. So, if we increase the DMUs or the evaluating years, the mathematical complexity would increase, as well. In this paper, it is tried to introduce a model with less complexity, which can also make possible to compute productivity and technology changes in a simpler way

Keywords:

DEA , Malmquist , Decision Making Unit