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Energy inputs and outputs in a chickpea production system in Kurdistan, Iran
Abstract
Chickpea (Cicer arietinum L.) is one of the most important grain legumes which traditionally cultivated in marginal areas and saline soils. In this study, chickpea production in Kurdistan, Iran and the energy equivalences
of input used in production were investigated. The aims of this study were to determine the amount of input–output energy used in chickpea production, to investigate the efficiency of energy consumption, to make an economic analysis of chickpea production, and to establish a relation between energy inputs and yield. Data were collected through a survey using a face-to-face questionnaire. Diesel energy engrossed 37.9% of total energy, followed by chemical fertiliser 29.6% during production period. Energy efficiency was 1.04, and energy productivity was 0.07 kg MJ-1. The profit-cost ratio of the farms was 1.17. Calculated net return was 42.2 $ ha-1 in the investigated farms. The Cobb–Douglas function,, and the linear function, , were selected to establish the best fitness relations between the production and various energy inputs. Whereas the R squares in both models are close, but it has shown that the Cobb–Douglas model was better than linear model.
of input used in production were investigated. The aims of this study were to determine the amount of input–output energy used in chickpea production, to investigate the efficiency of energy consumption, to make an economic analysis of chickpea production, and to establish a relation between energy inputs and yield. Data were collected through a survey using a face-to-face questionnaire. Diesel energy engrossed 37.9% of total energy, followed by chemical fertiliser 29.6% during production period. Energy efficiency was 1.04, and energy productivity was 0.07 kg MJ-1. The profit-cost ratio of the farms was 1.17. Calculated net return was 42.2 $ ha-1 in the investigated farms. The Cobb–Douglas function,, and the linear function, , were selected to establish the best fitness relations between the production and various energy inputs. Whereas the R squares in both models are close, but it has shown that the Cobb–Douglas model was better than linear model.