یازدهمین کنگره ملی سراسری فناوریهای نوین در حوزه توسعه پایدار ایران (نمایه ISC)
تاریخ برگزاری : 15 اسفند ماه 1400
Applying Cobb–Douglas production function to model CO2 emissions of chickpea production under dry farming system in Paveh county, Iran
اشکان نبوی پله سرائی
This study examines CO2 emissions of inputs in chickpea production under dry farming system, and to find relationship between CO2 emitter inputs and yield in Paveh county, Iran. For this purpose, 125 chickpea producers under dry farming system has been investigated for data collecting. Standard coefficients were used to calculate the CO2 emissions and Cobb-Douglas production function was applied to model CO2 emitter inputs and chickpea yield. Based on the results, total CO2 emissions during production process of chickpea under dry farming system was 242.47 kg CO2 eq. per ha and diesel fuel with 79% was the most significant CO2 emitter inputs among all. After that, pesticides with 11% has the second rank. Moreover, CO2 ratio was also about 0.48 that showed per kg of chickpea yield about 0.48 kg CO2 eq. was emitted. Econometric results revealed that diesel fuel with elasticity 1.38 in 1% and machinery with elasticity 0.91 in 5% were the most effective CO2 emitter inputs. In model analysis can be said R2 about 0.94 indicated the acceptable accuracy of model and also, Durbin-Watson test with 1.96 illustrated that there are not any autocorrelation between variables.
Chickpea, CO2 emission, Cobb-Douglas, Dry farming, Modeling
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, 1400 , Applying Cobb–Douglas production function to model CO2 emissions of chickpea production under dry farming system in Paveh county, Iran , یازدهمین کنگره ملی سراسری فناوریهای نوین در حوزه توسعه پایدار ایران (نمایه ISC)
تاریخ برگزاری : 15 اسفند ماه 1400