Energy flow modeling and sensitivity analysis of inputs for canola production in Iran

Abstract

This study examines energy use patterns and the relationship between energy inputs and yield for canola production in Golestan province of Iran. Data used in this study were obtained from 130 randomly selected canola farms using a face to face survey. The results revealed that total energy of 17,786.36 MJ ha −1 was required for canola production and fertilizer, diesel fuel and electricity were the main energy consuming inputs. Energy use efficiency and energy productivity were 3.02 and 0.12 kg MJ −1, respectively. Moreover, in specifying a functional relationship the Cobb–Douglas production function was applied and the results showed that machinery, fertilizer, diesel fuel and water for irrigation energies significantly contributed to yield. Also, the marginal physical productivity (MPP) technique was applied to analyze the sensitivity of energy inputs. It was found that, canola production had more sensitivity on machinery, fertilizer and water for irrigation energies; so that an additional use of 1 MJ from each of the machinery, total fertilizer and water for irrigation would lead to an increase in production by 0.93, 0.61 and 0.24 kg, respectively. However, electricity and seed energies were contributed negatively to yield, which may result in inverse effect on yield and impose risks to the environment.