Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8103495 | Journal of Cleaner Production | 2015 | 8 Pages |
Abstract
Data Envelopment Analysis (DEA) is a linear programming based frontier estimation technique for measuring the relative efficiencies of a homogenous set of Decision Making Units. This approach has two models including constant returns to scale and variable returns to scale model. In this study energy use pattern and CO2 emission of button mushroom production in Isfahan province of Iran was studied and the degrees of technical and scale efficiency of producers were analyzed using DEA technique. Technical, pure technical, scale and cross efficiencies were calculated using CCR and BCC models for producers. The results revealed that, the total amount of CO2 emission was 23.84 and 32.86 kg CO2eq mâ2 in efficient and inefficient farmers, respectively. Total optimum energy requirement was found to be 812.75 MJ m2; showing that 88.07 MJ mâ2 of input energy could be saved if the producers follow the results recommended by this study. Optimization of energy use improved the energy use efficiency, specific energy and net energy by 13.3%, 9.38% and 10.06%, respectively.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Rahim Ebrahimi, Marzie Salehi,