although economic and managerial literature is replete with studies that probe about productivity but only a few studies decompose it to its components (technological changes, managerial efficiency changes and scale efficiency changes)and analysis their share in productivity changes (positively or negatively). accordingly, this article attempts to explain the issue by decompose productivity to ...

This paper develops an index for comparing the productivity of Groups of operating units in cost terms when input prices are available. In that sense it represents an extension of a similar index available in the literature for comparing groups of units in terms of technical productivity in the absence of input prices. The index is decomposed to reveal the origins of differences in performance ...

Malmquist Productivity Index (MPI) is one of the most famous indices, which is used for estimating the productivity change of a Decision Making Unit (DMU) during the time. Virtually any empirical study that uses MPI, reports average of the productivity indices they estimate to represent the overall tendency in productivity changes. In such a case, productivity indices of a DMU are considered wi...

The purpose of this paper is to develop an output oriented methodology for calculating productivity growth by using Malmquist productivity index (MPI) and two different data envelopment analysis (DEA) views (optimistic and pessimistic) simultaneously, and apply it to five Iranian Commercial Banks over the four time period (2009-2013). Consequently, we have proposed a new approach called the dou...

U.S. hospitals are under continual pressure both to increase productivity and to improve quality through the use of Health Information Technology. This paper analyzes 3,187 US hospitals, using data reported to the American Hospital Association, to assess changes in productivity over a fiveyear period (2002-2006). The Malmquist Indices derived indicate that Total Factor Productivity (TFP) and Ef...

Data envelopment analysis (DEA) based productivity indexes models are widely applied to evaluate the of decision-making units over a period. This study proposes index for evaluating environmentally sensitive growth while excluding possibility spurious technical regress. innovative has been created by combining directional distance functions, sequential DEA, undesirable data, and concept interva...