In this paper, the financial efficiency of football clubs in English Premier League during 2016-17 season is determined. From a methodological perspective, we use Data Envelopment Analysis (DEA), a deterministic nonparametric frontier method. In particular, variable returns to scale and slack based measure are employed to assess whether teams are spending more resources than they need to achiev...

The variable returns to scale data envelopment analysis (DEA) model is developed with a maintained hypothesis of convexity in input-output space. This hypothesis is not consistent with standard microeconomic production theory that posits an S-shape for the production frontier, i.e. for production technologies that obey the Regular Ultra Passum Law. Consequently, measures of technical efficiency...

data envelopment analysis (dea) is a method for measuring the relative efficiencies of a set of decision-making units (dmus) that use multiple inputs to produce multiple outputs. in this paper, we study the measurement of dmu performances in dea in situations where input and/or output values are given as imprecise data. by imprecise data we mean situations where we only know that the actual val...

Broiler production has great potentials for increasing protein supply in Iran and plays a vital role in economic system of the country. In this study technical, allocative and economic efficiency of broiler production farms in Fars Province was estimated by using Data Envelopment Analysis approach (DEA) method. The results of the study reveal that under constant return to scale (CRS) and variab...

The present article attempts to investigate the validity of the Comanor–Wilson Minimum Efficient Size (MES) measure. The basic assumption is that firms that have exhausted scale economies are in non-increasing returns to scale. The same firms are also assumed to have a size greater than MES estimated on sales (total turnover), employment or fixed assets. Data Envelopment Analysis (DEA) is used,...

the present study is an attempt toward evaluating the performance of portfolios using mean-variance-skewness model with negative data. mean-variance non-linear framework and mean-variance-skewness non- linear framework had been proposed based on data envelopment analysis, which the variance of the assets had been used as an input to the dea and expected return and skewness were the output. conv...

one of the new topics in dea is the data with integer values. in dea classic models, it is assumed that input and output variables have real values. however, in many cases, some inputs or outputs can have integer values. measuring cost efficiency is another method to evaluate the performance and assess the capabilities of a single decision-making unit for manufacturing current products at a min...

Data envelopment analysis (DEA) is a mathematical programming - based technique to evaluate the performance of homogeneous group decision-making units (DMUs) with multiple inputs and outputs. One DEA applications involves aggregating input resources reallocating them create efficient DMUs.The present study employs centralized resource allocation (CRA) approach develop model for creating new DMU...

Traditional studies in two-stage data envelopment analysis (DEA) assumed that the outputs of the first stage completely input into the second stage. But we think that assumption is not realistic becauses of efficiency loss. This paper modifies the traditional relational two-stage DEA with Variable Returns to Scale (VRS) by abandon this assumption. By introduction of efficiency loss to measure t...