Productivity growth and efficiency improvements are the major sources of economic development. Pure efficiency, scale efficiency, and technology are basic factors, and rules and regulations and balance are recently known factors affecting the Malmquist productivity index. The index is the most common productivity growth index that uses data envelopment analysis models over multiple time periods...

The Japanese electricity industry has experienced regulatory reforms since the mid-1990s. This article measures productivity in Japan’s steam power-generation sector and examines the effect of reforms on the productivity of this industry over the period 1978–2003. We estimate the Luenberger productivity indicator, which is a generalization of the commonly used Malmquist productivity index, usin...

Wheat is a major agricultural crop in the Sistan region with a key role in local economy. The present study aimed to economically explore the efficiency of wheat production over the 2014-2016 period with the window data envelopment analysis (WDEA) approach. Also, the Malmquist productivity index was employed to assess the productivity of wheat growers in the study site under variable return to ...

Data envelopment analysis (DEA) models can calculate the Malmquist Productivity Index (MPI). Classic Malmquist Productivity Index shows regress and progress of a DMU in different periods with efficiency and technology variations without considering the present value of money. This issue is of major importance since while a currency of in previous year is not equal to that of now this would yiel...

The current paper develops three different ways to measure the multi-period global cost efficiency for homogeneous networks of processes when the prices of exogenous inputs are known at all time periods. A multi-period network data envelopment analysis model is presented to measure the minimum cost of the network system based on the global production possibility set. We show that there is a rel...

The study examines the changes to total factor productivity of Jamaican banks between 1998 and 2007. Using Data Envelopment Analysis with bootstrap to construct a Malmquist index, bank productivity is measured and decomposed into technical progress and efficiency. The results suggest an inconsistent growth pattern for banks between 1998 and 2007 driven mainly by efficiency gains in the immediat...

Bankruptcy in the same amount of time and history is very rampant and therefore the vision of the future can be prevented. Using data envelopment analysis (DEA) and malmquist index can precise evaluating of the performances of many different kinds of decision making units (DMU) such as hospitals, universities, business firms, etc. In this paper, we will modify directional distance formulation o...

This article computes the energy productivity changes of regions in Japan using total-factor frameworks based on data envelopment analysis (DEA). Since the traditional DEA-Malmquist index cannot analyze changes in single-factor productivity changes under the total-factor framework, we apply a new index proposed by Hu and Chang [2009. Total-factor energy productivity growth of regions in China. ...

bankruptcy in the same amount of time and history is very rampant and therefore the vision of the future can be prevented. using data envelopment analysis (dea) and malmquist index can precise evaluating of the performances of many different kinds of decision making units (dmu) such as hospitals, universities, business firms, etc. in this paper, we will modify directional distance formulation o...

We analyze hospital efficiency and productivity growth using an innovative approach which employs the directional distance function and the Luenberger productivity indicator. The primary advantage of our approach is that both input contractions and output expansions are considered. Our model generates a productivity indicator that is decomposed into the usual constituents of productivity growth...