The objective of this study was to analyze the profitability of production Parica reforestation in the municipality of Paragominas-PA. The study was conducted in the municipality of Paragominas Messoregiao located in ...The objective of this study was to analyze the profitability of production Parica reforestation in the municipality of Paragominas-PA. The study was conducted in the municipality of Paragominas Messoregiao located in the northeast of Para. The basic data used in the economic evaluation of production of planting parica （costs and revenues） were derived from primary source through raising production cost of parica with farmers from the municipality, analyzing the period of production horizon of seven years. The discount rate chosen for economic evaluation was 10% per year. NPV （net present value） calculation IRR （internal rate of return）, BCR （benefit-cost ratio） and EP （break-even point）. To check the economic feasibility of producing parica the following criteria were used for economic analysis. The results for NPV, IRR and BC ratio were respectively of $495,970, 28.83% and 2.43. For EP （break-even point） the value of 41.08% was found, which demonstrates the minimum amount of production, so that revenue equals costs. Based on the results obtained, it was found that the reforestation model with parica proposed in this paper presents economically viable for deployment.展开更多
Climate change is one of the most important challenges threatening agricultural grain yield and food security. Determining the factors influencing grain yield in Jilin Province and the weights of their contribution ar...Climate change is one of the most important challenges threatening agricultural grain yield and food security. Determining the factors influencing grain yield in Jilin Province and the weights of their contribution are a very important task, because Jilin Province is an important agriculture base in China. In this study, the accumulation factor sequence evaluating data method was used to analyze the climate and economic-technical factor contribution weights to grain yield and grain yield changes in each city of Jilin Province. Climate yield was also estimated to study the climate effect on the grain yield, and it was calculated in two ways： an improved algorithm and a traditional quadratic method. The results show that the climate and economicechnical factors have different contribution weights to grain yield in different cities in Jilin Province. The contribution weight of the climate factor to grain yield was 0.212-0.349, while that the economic-technical factor was 0.651-0.788. Furthermore, the changes of the climate factor contributing to grain yield changes accounted for 0.296-0.546, and the changes of the economic-technical factor accounted for 0.454-0.704. The weights of climate and economic-technical factor contributing to grain yield are very different between the eastern and western cities in Jilin Province, but their weights contributing to the grain yield change are similar in these cities. In general, the amount of fertilizer used per hectare （FUPH） is the main factor affecting grain yields and yield changes from 1980 to 2008. It is noted that when the FUPH growth rate stabilized after 1995, the effects of the climate factor on the grain yield become more obvious than before. The improved algorithm is effective for esti- mating climate yield in Jilin Province, and the climate yields were mostly between -500 kg/ha and 500 kg/ha, and showed a slightly rising trend in most cities.展开更多
文摘The objective of this study was to analyze the profitability of production Parica reforestation in the municipality of Paragominas-PA. The study was conducted in the municipality of Paragominas Messoregiao located in the northeast of Para. The basic data used in the economic evaluation of production of planting parica （costs and revenues） were derived from primary source through raising production cost of parica with farmers from the municipality, analyzing the period of production horizon of seven years. The discount rate chosen for economic evaluation was 10% per year. NPV （net present value） calculation IRR （internal rate of return）, BCR （benefit-cost ratio） and EP （break-even point）. To check the economic feasibility of producing parica the following criteria were used for economic analysis. The results for NPV, IRR and BC ratio were respectively of $495,970, 28.83% and 2.43. For EP （break-even point） the value of 41.08% was found, which demonstrates the minimum amount of production, so that revenue equals costs. Based on the results obtained, it was found that the reforestation model with parica proposed in this paper presents economically viable for deployment.
基金Under the auspices of Knowledge Innovation Programs of Chinese Academy of Sciences(No.KSCX1-YW-09-13)China Postdoctoral Science Foundation(No.07Z7601MZ1)
文摘Climate change is one of the most important challenges threatening agricultural grain yield and food security. Determining the factors influencing grain yield in Jilin Province and the weights of their contribution are a very important task, because Jilin Province is an important agriculture base in China. In this study, the accumulation factor sequence evaluating data method was used to analyze the climate and economic-technical factor contribution weights to grain yield and grain yield changes in each city of Jilin Province. Climate yield was also estimated to study the climate effect on the grain yield, and it was calculated in two ways： an improved algorithm and a traditional quadratic method. The results show that the climate and economicechnical factors have different contribution weights to grain yield in different cities in Jilin Province. The contribution weight of the climate factor to grain yield was 0.212-0.349, while that the economic-technical factor was 0.651-0.788. Furthermore, the changes of the climate factor contributing to grain yield changes accounted for 0.296-0.546, and the changes of the economic-technical factor accounted for 0.454-0.704. The weights of climate and economic-technical factor contributing to grain yield are very different between the eastern and western cities in Jilin Province, but their weights contributing to the grain yield change are similar in these cities. In general, the amount of fertilizer used per hectare （FUPH） is the main factor affecting grain yields and yield changes from 1980 to 2008. It is noted that when the FUPH growth rate stabilized after 1995, the effects of the climate factor on the grain yield become more obvious than before. The improved algorithm is effective for esti- mating climate yield in Jilin Province, and the climate yields were mostly between -500 kg/ha and 500 kg/ha, and showed a slightly rising trend in most cities.
