Application of Malmquist Index in Two-Stage DEA for Measurement of Productivity Growth

Malmquist Productivity Index Using Two-stage DEA Model in Heart Hospitals

Abstract Heart patients displays several symptoms and it is hard to point them. Data envelopment analysis (DEA) provides a comparative efficiency degree for each decision-making units (DMUs) with several inputs and outputs. Evaluating of hospitals is one of the major applications in DEA. In this study, a comparison of additive model with standard input oriented and output oriented M...

The interval Malmquist productivity index in 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 ...

Interval Malmquist Productivity Index in DEA

Data envelopment analysis is a method for evaluating the relative efficiency of a collection of decision making units. The DEA classic models calculate each unit’s efficiency in the best condition, meaning that finds a weight that the DMU is at its maximum efficiency. In this paper, utilizing the directional distance function model in the presence of undesirable outputs, the efficiency of each ...

Two-stage Malmquist Productivity Index with Intermediate Products

Malmquist Productivity Index for Two-stage Structures and its Applications in Bank ‎Branches

This study uses the data envelopment analysis (DEA) to assess the progress/regression of decision-making units (DMUs) having a two-stage structure‎. ‎The progress/regression of these DMU can be assessed in the first stage‎, ‎the second stage‎, ‎and the whole system‎. ‎In the first stage‎, ‎the progress/regression of bank branches in collecting resources and in the second stage their progress/re...

the interval malmquist productivity index in 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 ...