in this research energy efficiency for greenhouse cucumber production in shahreza township located in esfahan province using data envelopment analysis (dea) technique was studied. in this study, data were obtained from 25 randomize active vegetable greenhouses from 60 greenhouses in shahreza township and villages environs. the results showed that the highest and lowest consumed energy were rela...

Super-efficiency data envelopment analysis (DEA) model is obtained when a decision making unit (DMU) under evaluation is excluded from the reference set. Because of the possible infeasibility of super-efficiency DEA model, the use of super-efficiency DEA model has been restricted to the situations where constant returns to scale (CRS) are assumed. It is shown that one of the input-oriented and ...

objective: the aims of this study were to determine energy efficiency and co2 use pattern of grape production in zanjan province, iran by a non-parametric method of data envelopment analysis (dea). methods: initial data were collected using a face to face questionnaire from 42 orchards in abhar city of zanjan province which is one of the most important centers of grape production in iran. the d...

This study employs data envelopment analysis approach to construct the meta-frontier global technical efficiency of energy use index and global technical efficiency of CO2 emission control index to measure the energy use efficiency and CO2 emission control efficiency at country level. Destruction of these efficiency indices into pure technical efficiency and scale efficiency sub-indices is to c...

introduction: in this study, total factor productivity growth components in rough rice production are assisting by econometric approach and stochastic frontier function during 2005-2013 for several provinces (mazandaran province, guilan province, golestan province, fars province, khoozestan province). according to food and agriculture organization statics, iran is the 3rd importer and 20th expo...

this paper proposes an alternative approach for efficiency analysis when a set of dmus uses interval scale variables in the productive process. to test the influence of these variables, we present a general approach of deriving dea models to deal with the variables. we investigate a number of performance measures with unrestricted-in-sign interval and/or interval scale variables.

conclusions reduction of surplus production factors through comprehensive planning based on the results of the data envelopment analysis can play a major role in cost reduction of hospitals and health sectors. in hospitals with a technical efficiency score of less than one, the original and projected values of inputs were different; resulting in a surplus. hence, these hospitals should reduce t...