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 ...

The proposal of the Belt and Road Initiative (BRI) has had a profound impact on development construction industry. Based panel data from 2014 to 2020 in 18 China's provinces along Road, we combined envelopment analysis (DEA) with Malmquist productivity index (MPI) model analyze static production efficiency industry these changes 2020. results show that China’s is relatively high, nearly half ar...

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 ...

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 ...

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 ...

This study uses the Data Envelopment Analysis (DEA) slack-based model (SBM) and Malmquist Productivity Index (MPI) to evaluate energy efficiency based on CO2 emissions in 42 countries belonging 6 continents. First, data envelopment analysis was employed calculate scores for individually continent basis then index used examine improvement. The period chosen 2011-2020. results of this showed that...

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 ...

an integrative approach of data envelopment analysis (dea) and malmquist productivity indicator for performance analysis of projects in subsea r&d; center (srdc) is presented. it is noticeable that, an output based model with constant efficiency was used for data analysis. furthermore, since the dea approach is merely used for homogeneous units, it was assumed that all the projects according to...

this paper presents a data envelopment analysis (dea) model combined with bootstrapping to assess performance of one of the data mining algorithms. we applied a two-step process for performance productivity analysis of insurance branches within a case study. first, using a dea model, the study analyzes the productivity of eighteen decision-making units (dmus). using a malmquist index, dea deter...

This paper analyses the productivity growth of the SUMA tax offices located in Spain evolved between 2004 and 2006 by using Malmquist Index based on Data Envelopment Analysis (DEA) models. It goes a step forward by smoothed bootstrap procedure which improves the quality of the results by generalising the samples, so that the conclusions obtained from them can be applied in order to increase pro...