This paper aims at comparing results between the circular Malmquist index (CMI) and the variable returns to scale Malmquist index (VRS-MI) from an even panel data. Based on the ground theory, the study purposefully uses comparative discussion on above mentioned methods. The contribution of the paper is on applied feature of using different methods at the same data set. The results of the study ...

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 ...

There has been increasing interest in applying Bayesian nonparametric methods in large samples and high dimensions. As Markov chain Monte Carlo (MCMC) algorithms are often infeasible, there is a pressing need for much faster algorithms. This article proposes a fast approach for inference in Dirichlet process mixture (DPM) models. Viewing the partitioning of subjects into clusters as a model sel...

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 Malmquist index (MI) has demonstrated its usefulness in comparing the performances of Decision Making Units (DMUs) performances. global MI (GMI) been suggested as a means to overcome three drawbacks MI: non-circularity, disparate measurements, and infeasibility. Recently, it appeared that can also be used compare groups DMUs. While this new function increased usefulness, presents same MI. I...