Abstract Advanced efficiency measurement methods usually fall within Stochastic Frontier Analysis (SFA), Data Envelopment (DEA), or their derivatives. Although SFA has some theoretical advantages, it been criticized for relying on arbitrary and potentially restrictive assumptions about model specification. One strand of the literature suggests use nonparametric SF models to cope with issue. We ...

The problem of determining an optimal benchmark to inefficient decision-making units (DMUs) is important issue in the field performance analysis. Previous methods for projection points DMUs have only focused on one objective and other features been ignored. This paper attempts determine best point each DMU when inputs outputs data are stochastic form presents alternative definition by consideri...

Since the Labour government came to power in 1997, it has introduced a regime whereby public services are accountable in respect of best value performance indicators (BVPIs). A recent Public Services Productivity Panel (PSP) (2000) report has developed a set of criteria whereby the economic analysis of police force efficiency by the Home Office is to be made standard. In this paper we utilise a...

Data Envelopment Analysis (DEA) is a great approach used for measuring relative efficiencies and performance of a collection of Decision Making Units (DMUs). These used in the various forms, such as hospitals, universities, air force, banks, courts, business firms, and others, including the performance of countries, regions, etc. One of the earliest applications of DEA called Education. It was ...

By employing the non-stochastic data envelopment analysis (DEA) method, the present paper provides empirical evidence on the efficiency of the Malaysian banking sector around the Asian financial crisis. The empirical findings suggest that the foreign banks (FB) have exhibited higher technical efficiency (TE) compared to their domestic bank counterparts. However, the results suggest that the FB ...

It is well-known that the convergence rates of nonparametric efficiency estimators (e.g., free-disposal hull and data envelopment analysis estimators) become slower with increasing numbers of input and output quantities (i.e., dimensionality). Dimension reduction is often utilized in non-parametric density and regression where similar problems occur, but has been used in only a few instances in...

Abstract Benchmarking the dynamic performance of water companies is a powerful tool to develop sound policies. However, it requires use reliable and robust methods quality data. In this study, stochastic nonparametric envelopment data (StoNED) method was employed assess productivity change eco-productivity sample Chilean over period 2010–2018. The StoNED approach overcomes main limitations fron...