this study aimed to measure the hospital productivity using data envelopment analysis (dea) technique and malmquist indices.this is a cross sectional study in which the panel data were used in a 4 year period from 2007 to 2010. the research was implemented in 12 teaching and non-teaching hospitals of ahvaz county. data envelopment analysis technique and the malmquist indices with an input-orien...

Under the concept of metafrontier, technology gap ratio is alternatively interpreted as potential energy efficiency. Combined with Malmquist index framework and Shephard energy distance function, we then develop a metafrontier Malmquist energy productivity index to analyze the total-factor energy productivity growth with four specific components: groupfrontier efficiency change index, groupfron...

Regulators of electricity distribution networks have typically applied Data Envelopment Analysis (DEA) to cross-section data for benchmarking purposes. However, the use of panel data to analyse the impact of regulatory policies on productivity change over time is less frequent. The main purpose of this paper is to construct a Malmquist productivity index to examine the recent productivity chang...

Malmquist Productivity Index (MPI) is a numeric index that is of great importance in measuring productivity and its changes. In recent years, tools like DEA have been utilized for determining MPI. In the present paper, some models are recommended for calculating MPI when there are just ratio data available. Then, using DEA and DEA-R, some models are proposed under the constant returns to scale ...

In this paper, we focus on the efficiency performance of the Vietnamese commercial banks in terms of their efficiency change, productivity growth, and technological change during the period 2001–2003. We use a data envelopment analysis (DEA) model for this purpose. Productivity is measured using the Malmquist total factor productivity index. The panel data of 13 commercial banks in Vietnam are ...

   The performance of a decision making unit (DMU) can be evaluated in either across-sectional or a time-series manner, and data envelopment analysis (DEA) is a useful method for both types of evaluation. The Malmquist productivity index (MPI) evaluates the change in efficiency of a DMU between two time periods. It is defined as the product of the Catch-up and Frontier-shift terms. In this pape...

In this paper, we measure productivity growth of the information technology (IT) industries in fourteen OECD countries over the thirteen-year period of 1978 through 1990. The IT industries are the providers of IT capital goods, and this macro-level analysis seeks to find out how efficiently IT capital goods are produced. The basic unit of analysis employed is the Malmquist Total Factor Producti...

The performance of a supply chain can be evaluated in either a cross-sectional or a time series manner, and data envelopment analysis is a useful method for both types of evaluation. In this paper we develop an index and indicator of productivity change that can be used with radial and non-radial models for supply chain malmquist index. The supply chain malmquist productivity index (SCMPI) can ...

the performance of a supply chain can be evaluated in either a cross-sectional or a time series manner, and data envelopment analysis is a useful method for both types of evaluation. in this paper we develop an index and indicator of productivity change that can be used with radial and non-radial models for supply chain malmquist index. the supply chain malmquist productivity index (scmpi) can ...

The Trade Offs approach is an advanced tool for the improvement of the discrimination of Data Envelopment Analysis (DEA) models, Meta Malmquist Index was defined by Maria Portella and et. al (2008). In this paper we compute the Meta Malmquist Index in Trade Offs model in DEA and we compare, obtaining results, of Meta Malmquist Index in different models of DEA, Variable Return to Scale (VRS), Co...