When analyzing the productivity of rms one may want to compare how the rms transform a set of inputs x typically labor energy or capital into an output y typically a quantity of goods produced The economic e ciency of a rm is then de ned in terms of its ability of operating close to or on the production frontier which is the boundary of the production set The frontier function gives the maximal...

Abstract This paper studies the efficiency assessment of Decision Making Units (DMUs) when their inputs and outputs are fuzzy sets. An axiomatic derivation production possibility set is presented a enhanced Russell graph measure formulated using arithmetic approach. The proposed approach uses polygonal sets LU-fuzzy partial orders, provides crisp measures (and associated ranking) as well effici...

Performance measurement in the presence of fixed-sum outputs in data envelopment analysis (DEA) is an interesting and most frequently studied subject in the field of operations research. Different definitions of relative efficiency in the presence of fixed-sum outputs have been proposed in the literature of data envelopment analysis and in all of the existing definitions a common equilibrium ef...

study of economic efficiency is of particular significance in evaluation of the public sector of the economy. there two alternative critorias for the measurement of efficiency: namely ratio analysis, and frontier 'analysis. the first criteria takes the ratio of inputs as compared to the outputs. the second criteria, however.first attempts to stablisb the product and cost efficiency frontie...

Many policy-makers are currently weighing the advantages of deregulating electricity markets over more traditional regulatory methods. However, within this traditional regulatory environment many options exist. In particular, the use of incentive regulation programs in US electricity markets has grown during the past two decades. These programs differ in both their goals and how they attempt to...

due to agriculture is a risky activity and risk models is important in order to analyze the behavior of farmers, hence, in this study, the factors affecting risk-taking and risk aversion is the region grape growers. data analysis was performed by using stochastic frontier. data gathered by questionnaires at three counties of zabol, hirmand and zahak at 265 grape farmers in crop year of 2011-201...

When analyzing the productivity of rms, one may want to compare how the rms transform a set of inputs x (typically labor, energy or capital) into an output y (typically a quantity of goods produced). The economic eeciency of a rm is then deened in terms of its ability of operating close to or on the production frontier which is the boundary of the production set. The frontier function gives the...

The cost of milk production by farm size was decomposed into frontier and efficiency components with a stochastic cost curve using data on 755 USA dairy farms from the year 2000. The estimated frontier function is much flatter than the composite cost curve, and although the frontier cost of production decreases with farm size, that cost reduction is not as pronounced as a cost curve that includ...

Although a considerable literature exists on determinants of managerial compensation, much of it focussing on the role of incentives, there is much less known about the im-pact of managerial remuneration and quality upon attainment of organizational goals. In this paper we use a novel panel data set from the German premier soccer league (Bundesliga) as a case to show how variations in manageria...