data envelopment analysis (dea) measures the relative efficiency of decision making units (dmus) with multiple inputs and multiple outputs. dea-based malmquist productivity index measures the productivity change over time. we propose a dynamic dea model involving network structure in each period within the framework a dea. we have previously published the network dea (ndea) and the dynamic dea ...

one of the most popular approaches to measuring productivity changes is based on using malmquist productivity indexes. in this paper we propose a method for obtaining interval malmquist productivity index (impi). the classical dea models have been before used for measuring the malmquist productivity index. the current article extends dea models for measuring the interval malmquist productivity ...

Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMUs) with multiple inputs and multiple outputs. DEA-based Malmquist productivity index measures the productivity change over time. We propose a dynamic DEA model involving network structure in each period within the framework a DEA. We have previously published the network DEA (NDEA) and the dynamic DEA ...

This paper evaluates the scale of productivity change of the Bank of Serbia over the period 20072010. In this research the emphasis is put on measuring the productivity based on information from the financial statements using Data Envelopment Analysis (DEA) method and Malmquist index to estimate the individual bank efficiency and productivity changes within this period. The Malmquist productivi...

We propose a dynamic DEA model involving network structure in each period within the framework of a slacks-based measure approach. We have previously published the network SBM (NSBM) and the dynamic SBM (DSBM) models separately. Hence, this article is a composite of these two models. Vertically, we deal with multiple divisions connected by links of network structure within each period and, hori...

This study evaluated the productivity of non-profit hospitals in the USA in applying DEA-base Malmquist productivity Change index, decomposed into technical efficiency change index and technical progressive change index. Data used for this analysis consisted of 118 non-profit hospital utilization data and financial statements from 1993 through 2003. DEA-based Malmquist was conducted to measure ...

BACKGROUND China began to implement the national medical and health system and public hospital reforms in 2009 and 2012, respectively. Anhui Province is one of the four pilot provinces, and the medical reform measures received wide attention nationwide. The effectiveness of the above reform needs to get attention. This study aimed to master the efficiency and productivity of county-level public...

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...

The data envelopment analysis (DEA) based Malmquist productivity index measures the productivity change over time. It can be further decomposed into two components: the change in efficiency and the technical change. In this study, a specific road safety outputoriented DEA-based Malmquist productivity index is introduced to assess the changes in road safety performance of 26 EU countries from 20...

One of the most popular approaches to measuring productivity changes is based on using Malmquist productivity indexes. In this paper we propose a method for obtaining interval Malmquist productivity index (IMPI). The classical DEA models have been before used for measuring the Malmquist productivity index. The current article extends DEA models for measuring the interval Malmquist productivity ...