SENSITIVITY ANALYSIS OF ENERGY INPUTS FOR MAIZE PRODUCTION SYSTEM IN KERMANSHAH PROVINCE OF IRAN
The aims of this study were to investigate influences of energy inputs and energy forms on output levels and evaluation of inputs sensitivity for maize production in Kermanshah province, Iran. The sensitivity of energy inputs was estimated using the marginal physical productivity (MPP) method and partial regression coefficients on maize yield. Data were collected from 72 maize farms in August and September 2011. The sample volume was determined by random sampling method. The total energy input was 26.91 GJ ha−1. The chemical fertilizer (N and P) with 56 percent had the biggest share of total energy inputs. Econometric model evaluation showed that the human labor energy was the most significant input affecting the output level. Sensitivity analysis results indicate that with an additional use of 1 MJ for each of seeds, machinery and water for Irrigation energy would result in an increase in maize yield by 6.02, 5.57 and 5.14 kg, respectively.