Research On The Influencing Factors Of Farmers' Lending Behavior Based On The Internet Platform

Farmers account for a large proportion of total population in China.The development of rural economy and the increase of farmers' income have a great impact on the development of China's economic and social level.And the development of rural economy and the increase of farmers' income are closely related to rural financial services.However,there exists a bottleneck in traditional financing in terms of agricultural production and living.Although farmers' financing aspiration is strong,they are not willing to borrow money from relatives and friends,taking account of the higher lending threshold from the formal financial institutions or cost of "human favor".Thus farmers' financing demands cannot be fully satisfied,and it is necessary to find a new financing way.Since the twenty-first Century,the Internet lending mode based on the development of Internet finance has been developing vigorously in recent years,which provides a new way of borrowing for farmers to a certain extent and benefits the rural financial reform and economic&social development.Based on this,this thesis adopts double hurdle model to study whether farmers can obtain loans through Internet platform and the influencing factors of loan scale on the basis of financial repression theory,credit rationing theory as well as motivation and financing order theory of farmers' borrowing behaviors,utilizing the bootstrap estimation method to calculate the marginal effect of the explanatory variables through the significant level test.Firstly,the thesis statistically analyzes farmers' borrowing behaviors from farmers' basic characteristics,Internet financial services and farmers' borrowing conditions,according to the recovery results of field survey questionnaire.Secondly,the thesis mainly uses double hurdle model to study whether farmers obtain loans through Internet platform and the influencing factors of loan scale.The results show that there are significant differences in the impact of the explanatory variables on whether the farmers have access to loans through the Internet platform and loan scale,and that only the scale of farmers' cultivated land and online shopping frequency have passed the significant level test in the loan model of whether farmers have access to the Internet platform and loan amount model gained through the Internet platform by farmers.The thesis uses bootstrap estimation method to calculate the marginal effect of the explanatory variables through the significant level test,analyzing the influencing degree of changes in a unit of these explanatory variables on the probability of whether farmers have access to loans through the Internet platform and the obtained loan amount when the mean value of other variables is taken.Finally,the thesis puts forward the corresponding countermeasures and suggestions respectively from the three angles,the government,the Internet lending platform and the farmers to solve the financing difficulties in rural areas.based on the empirical results and the actual situation in Shaanxi Province.