This study investigated the technical and scale efficiencies in rice production by rice farmers in Ebonyi State Nigeria using the data envelopment analysis (DEA). Data was collected from a sample of 180 farmers using multi-stage sampling technique. Data were analysed using descriptive statistics and Data Envelopment Analysis (DAE) approach. The result showed that majority of the rice farmers we...

performance evaluation of universities is an important issue between researchers. classic data envelopment analysis (dea) models with deterministic data have been used by many authors to measure efficiency of universities in different countries. however, dea with stochastic data are, rarely used to measure efficiency of universities. in this paper, input oriented model in stochastic data envelo...

Sensitivity of the returns to scale (RTS) classifications in data envelopment analysis is studied by means of linear programming problems. The stability region for an observation preserving its current RTS classification (constant, increasing or decreasing returns to scale) can be easily investigated by the optimal values to a set of particular DEA-type formulations. Necessary and sufficient co...

The data envelopment analysis (DEA) technique is well known for computing the Malmquist-Luenberger productivity index (MLPI) in measuring change decision-making units (DMUs) over two consecutive periods. In this research, we detect infeasibility of directional distance function (DDF) based DEA model MLPI under variable returns to scale technology when takes on negative values. We address proble...

The Trade Offs approach is an advanced tool for the improvement of the discrimination of Data Envelopment Analysis (DEA) models, Meta Malmquist Index was defined by Maria Portella and et. al (2008). In this paper we compute the Meta Malmquist Index in Trade Offs model in DEA and we compare, obtaining results, of Meta Malmquist Index in different models of DEA, Variable Return to Scale (VRS), Co...

In this article we perform production efficiency analysis for the 40 countries with largest value added by agricultural sector in 2005. Under the assumption of a nonparametric frontier and production observations satisfying a statistical model including both random and inefficiency errors, we estimate an agricultural production function using DEA measures of efficiency with output orientation a...

Selection of an appropriate set of Information System (IS) projects is a critical business activity which is very helpful to all organizations. In this paper, after describing real IS project selection problem of Iran Ministry of Commerce (MOC), we introduce two Data Envelopment Analysis (DEA) models. Then, we show applicability of introduced models for identifying most efficient IS project fro...

Examination of the relation between scale economies and natural monopoly has been a central issue in public policy research. The paper employs Data Envelopment Analysis (DEA) methodology to re-examine the issue of natural monopoly for the Bell system with annual time series data for 1947–1977. Results from the DEA-based statistical tests reveal the prevalence of increasing returns to scale for ...

Banking plays an important role in business and economic growth. However, since a couple decades ago, there have been issues with efficiency performance. This paper aims to examine Indonesia’s Islamic banking performance through non-parametric production analysis before after the COVID-19 pandemic, 2010–2021. study differentiated between different dimensions of banks (IIB) finance non-finance a...