an analysis of energy use, co2 emissions and relation between energy inputs and yield of hazelnut production in guilan province of iran

نویسندگان

ashkan nabavi-pelesaraei

ahmad sadeghzadeh

mir hossein payman

hassan ghasemi mobtaker

چکیده

the objectives of this research were to investigate influences of energy inputs and energy forms on output levels and evaluation of co2 emissions for hazelnut production in guilan province of iran. moreover, the sensitivity analysis was done by marginal physical productivity (mpp) method for energy inputs and energy using linear regression. initial data were collected from 120 orchardists in september and october 2012. the total energy of 2862.62 mj ha-1 was calculated for gardening in one year. the results of energy forms analysis revealed the share of non-renewable and indirect energy was more than renewable and direct energy, significantly. the ratio of energy output to energy input was approximately 3.93. total co2 emissions of hazelnut production was calculated as 77.66 kgco2eq. ha-1. also, the diesel fuel had the highest share of emissions among all inputs with 33.84%. econometric model estimation indicated that the impact of human labor, machinery, diesel fuel and pesticides energy inputs were significantly positive on hazelnut yield. the sensitivity analysis was presented that the marginal physical productivity (mpp) value of pesticides, farmyard manure and diesel fuel energy were the highest with 9.43 and -4.86 and 0.97, respectively. in energy forms econometric models, impact of direct, indirect and renewable energies were significantly. furthermore, direct and renewable energies was the most sensitive groups in energy forms with mpp value of 0.98 and 1.19, respectively

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An Analysis of Energy Use, CO2 Emissions and Relation Between Energy Inputs and Yield of Hazelnut Production in Guilan Province of Iran

The objectives of this research were to investigate influences of energy inputs and energy forms on output levels and evaluation of CO2 emissions for hazelnut production in Guilan province of Iran. Moreover, the sensitivity analysis was done by marginal physical productivity (MPP) method for energy inputs and energy using linear regression. Initial data were collected from 120 orchar...

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عنوان ژورنال:
international journal of advanced biological and biomedical research

ناشر: casrp publishing company

ISSN 2383-2762

دوره 1

شماره 12 2013

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