determining malmquist productivity index in dea and dea-r based on value efficiency
Authors
abstract
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 (crs) technology and based on value efficiency (ve) in order to calculate mpi when there is just a ratio of the output to the input data (and vice versa). finally, in an applied study on 30 welfare service companies under crs technology, the progress and/or regression of companies are determined in dea and dea-r.
similar resources
Determining Malmquist Productivity Index in DEA and DEA-R based on Value Efficiency
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 ...
full textDetermining Malmquist Productivity Index in DEA and DEA-R based on Value Efficiency
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 ...
full textThe 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 ...
full textInterval 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 ...
full textTwo-stage network DEA-R based on value efficiency
It is essential for most organizations and financial institutes to be able to evaluate their decision-making units (DMUs), when there is only a ratio of inputs to outputs (or vice versa) available. In this paper, we will propose our two-stage DEA-R models, which are a combination of data envelopment analysis and ratio data, based on value efficiency. Integrating value efficiency into data envel...
full textDEA Malmquist productivity measure: Taiwanese semiconductor companies
In this research we employ data envelopment analysis (DEA) to measure the Malmquist productivity of semiconductor packaging and testing firms in Taiwan from 2000 to 2003. Malmquist productivity has three components: the measurement of technical change, the measurement of the frontier forward shift, and the measurement of the frontier backward shift of a company over two consecutive periods. Thi...
full textMy Resources
Save resource for easier access later
Journal title:
international journal of industrial mathematicsجلد ۸، شماره ۳، صفحات ۲۴۱-۲۵۴
Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023