Seyed Hashem Mousavi-Avval - Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology,University of Tehran, Karaj, Iran
Shahin Rafiee - Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology,University of Tehran, Karaj, Iran
Soleiman Hosseinpour - Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology,University of Tehran, Karaj, Iran
Mohammad Sharifi - Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology,University of Tehran, Karaj, Iran

This study utilizes non-parametric technique of data envelopment analysis to examine the efficiencies of farmers from greenhouse gas emissions (GHGs) analysis point of view. Data were obtained from 150 individual farms from Mazandaran province, Iran. For assessing the greenhouse gas emissions, the off farm and on farm emissions with consideration to different inputs used in agricultural sector of canola production were analyzed. The results revealed that, average yield of canola grain in the region was 2076.76 kg ha; also, total GHG emissions associated with production and consumption of different inputs was 1670.75 (kg CO2eq ha-1); from which the contribution of on-farm and off-farm emissions were found to be 1156.33 and 511.79 kg CO2eq ha-1, respectively. The results of application of data envelopment analysis showed that average technical, pure technical and scale efficiencies of farms were 0.80, 0.90 and 0.88, respectively. Moreover, total GHG emissions in target condition was calculated as 1712.42 kg CO2 eq per hectare; accordingly, about 12% from total GHG emissions of production in present condition could be reduce if the farmers follow the input package recommended by the study.

GHG emissions; Technical efficiency; DEA;Oilseed production