[AHW20-P29] Possibility of Nitrogen Emissions Evaluation from the Viewpoint of State-Scale Agricultural Product Production and Transport in Brazil
Keywords:Brazil, sugar cane, regional disparities, transportation costs, nitrogen Emissions
In this study, we estimate the amount of nitrogen emission per unit production amount, considering the different social and natural environments of nitrate contamination of groundwater by local fertilization. Based on the results, consider appropriate sugar cane cultivation form and nitrogen emission control for sustainable development. In this presentation, as the first stage of research, we discuss that may estimate nitrogen emissions in each state by considering socio-economic environment effect, changes in sugar cane production volume, distribution form, and distribution cost.
The population pyramid shows that many states in the south are types of developed countries, whereas in the north there are many states of the type of developing countries. The distribution of economic power by city shows that the economic power is high in the large cities of the south and its surrounding cities, whereas in the northern part the major cities such as Recife have some economic power, but there are relatively low in the many city. Sugar cane production areas are concentrated in Pernambuco State, Aragoas State, Minas Gerais State, Sao Paulo State, Mato Grosso do Sul State. The economic power of these states is high throughout the state in Sao Paulo State and Minas Gerais State in the southern part, but in the states in the northeastern region there is a big disparity within the state. Produced sugar cane is accumulated in Recife in the northeastern part and accumulated in Santos in the south. The cost of being transported from various parts of the southern part to Santos is not cheaper as the distance is shorter, and there is no proportional relation between distance and transportation cost.
Further, it is needs to collect the data, such as transportation costs and labor costs for each city.
Acknowledgement: This study has supported by JSPS KAKENHI Grant Number 16KT0033.