This stuely aflempts to measure the prodllctivi~y of Ihe life insurance inelustry by employing the non-parametric Malmquist Index approach. The ]inding shows that despite the productivity growth in the insurance industry, it is relatively loll' compared to the real economic growth experienced by Malaysia. Like the mallufacllfring sectol; thefurure growth of this indusll~y 1V0uld depend on its a...

The paper assesses the extent to which sampling variation affects findings about Malmquist productivity change derived using Data Envelopment Analysis (DEA), in the first stage calculating productivity indices and in the second stage investigating the farm-specific change in productivity. Confidence intervals for Malmquist indices are constructed using Simar and Wilson’s (1999) bootstrapping pr...

This research paper investigates the cost efficiency and productivity of TEVETA institutes in Punjab, Pakistan using Data Envelopment Analysis (DEA) COST MALMQUIST INDEX. The study uses data from 2006-2018 to analyze impact reform 2011. objective is assess on production process. results indicate that reforms implemented Punjab have had a positive productivity. change, scale technical change all...

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...

This study intends to focus on the physicians, and to examine the input-output relationships between the medical resources used by these physicians and the quantity of medical services provided by them, in order to analyze the productivity and efficiency of physicians. In addition, by applying the Malmquist productivity index, this study empirically evaluates how the quantities of each physicia...

The main purpose of this paper is to determine the best performance time period of a system, consisting some DMUs, among some sequential time periods. This aim is satised by two proposed algorithms, the rst based on global Malmquist Productivity Index and the second is based on PPS frontiers.

data envelopment analysis (dea) measures the relative efficiency of a homogenous set of decision-making units (dmus) when multiple inputs and outputs are present. the deabased malmquist productivity index measuring the productivity change of dmus over time has proven itself to be a valid tool to compare group performance. however, in the previous models developed for this purpose, it was suppos...