energy sensitivity analysis and greenhouse gas emissions for tea production in guilan province

sustainable development of the production in every region requires consideration of energy flow in the production system, moreover, investigating the production system inputs from environmental management point of view is of high importance. in this study energy use and greenhouse gas emissions is investigated. data were collected through interviews with 75 tea farmers and comparing the results with farmers information book. total energy input was 39060.60 mj ha-1. energy efficiency was calculated as 0.22. chemical fertilizers had the largest share in energy use and greenhouse gas emissions with 58.55% and 74.22% in tea production respectively. total greenhouse gas emission in tea production was 1281.82 kgco2eq. ha-1. the results of cobb-douglas model and sensitivity analysis of energy inputs revealed that the effect of all energy inputs except chemicals were positive on the yield, and the input of human labor energy on yield was significant at the level of one percent. energy of labor input had the most sensitivity and also had the most effect on the yield and then the machinery energy input and chemicals had the next highest effect on the yield of tea production in guilan province sustainable development of the production in every region requires consideration of energy flow in the production system, moreover, investigating the production system inputs from environmental management point of view is of high importance. in this study energy use and greenhouse gas emissions is investigated. data were collected through interviews with 75 tea farmers and comparing the results with farmers information book. total energy input was 39060.60 mj ha-1. energy efficiency was calculated as 0.22. chemical fertilizers had the largest share in energy use and greenhouse gas emissions with 58.55% and 74.22% in tea production respectively. total greenhouse gas emission in tea production was 1281.82 kgco2eq. ha-1. the results of cobb-douglas model and sensitivity analysis of energy inputs revealed that the effect of all energy inputs except chemicals were positive on the yield, and the input of human labor energy on yield was significant at the level of one percent. energy of labor input had the most sensitivity and also had the most effect on the yield and then the machinery energy input and chemicals had the next highest effect on the yield of tea production in guilan province.