| Popis: |
In recent years, rural Internet finance has gradually risen, effectively solving the financing needs of farmers. This paper takes Python crawling data of online lending platform as a sample, and uses multiple regression model to research the influencing factors of farmers' lending efficiency in rural Internet financial market. The results show that in the rural Internet financial market, the gender and annual interest rate of farmers will affect the efficiency of lending, while the age and income of farmers have no significant correlation with the efficiency of lending. In addition, in order to promote the orderly development of rural Internet finance, this paper puts forward relevant suggestions from the perspective of the government, Internet lending platform and other subjects. |
