The Application of Hadoop in Natural Risk Prevention and Control of Rural Microcredit

Abstract

Rural microcredit means that the loan institutions extend the small amount of loans to the farmers. The purpose of rural microcredit is to meet the increasing needs of agriculture, animal husbandry, aquaculture, and the other business activities associated with the rural economic development. However, the rural microcredit is currently facing severe problems, such as operation risk, business risk and natural risk. Of those risks, the natural risk of rural microcredit has the most different forms and complex relationships, and the effective coping strategies lack of controllability. In the event that we can’t control and make up the losses from natural risks, it will cause the rural incomes and productions stepping down; and there is no way to get any compensation from the other capital, and this will cause the farmers can’t pay the principal and interest. As a result, natural risk prevention and control become a very important issue in rural microcredit. This paper analyzed the original cause of formation and characteristic of natural risk, and discussed how to predict the natural risk in rural microcredit. Finally, we gave the result and performance evaluation, and provided various methods to defend against the natural risk.