Research On Credit Rating Of Farmers In Poverty-stricken Areas Based On SPSS Four Models

In recent years,China's three rural issues(agriculture,countryside and farmers)have been alleviated with the correct guidance and policy support of the Party and the State.We have made great achievements in poverty alleviation.Rural Credit Union is the main force of financial poverty alleviation that is the important provider of financial services for peasantry.Currently,there are three kinds of financial products for farmers — Rural Micro Credit,Reloan and Financial Debt.Rural Micro Credit is used to loaning for rural poverty population.Generally,the credit limit is mostly under 50000 Yuan.The targeted clients are most for poverty people who are living in countryside and their living environments are very severe and harsh.The original purpose of Rural Micro Credit is assisting for poverty group,and helping these people get out from tribulation,they can use the loaned money to restart production,run little business or improve their lives and etc.The application procedures of Rural Micro Credit are fairly easy.Borrowers only provide their personal information,such as income,accommodation,marital status,healthy,insurance,occupation and etc.Loan officers simply check these kinds of information or even not,and then type it into the Client Credit Grading System.Finally,borrowers will get a credit score which comes from system.The credit score help borrowers know how much money they could get from Rural Credit Union.This paper will focus on studying credit rating of Rural Micro Credit in poorer regions.The research data is from three minority areas — Ganzi,Aba and Liangshan,which is located in the eastern mountain areas of Sichuan province.These areas are knowned as one of the poorest areas in China.With C Rural Credit Union as an example,until June 2019,the total amount of Rural Micro Credit was about 3.99 billion yuan in three minority areas that is the strong financial supporting for local farmers.However,according to the data in the first half year of 2019,the overdue rate of Rural Micro Credit in three minority areas is far higher than the average level of the whole province.Many farmers think that Rural Micro Credit is relief fund,which no need to pay back.It certainly has increased the risk of banks.For declining the credit risk of Rural Micro Credit and reducing overdue rate,it builds the classification model by the data preprocessing,variable index,and analyzing key factors via SPSS in Chapter five.Overdue rate as a dependent variable,and rural households' characteristics and features as independent variables such as insurance coverage,gambling and drug use records,family population,professional skills,health status and etc.It will improve the accuracy and focalization of credit rating result though training data model.In China,it is the key to content the financial demands of poverty rural households that helps to resolve three rural issues and promote the development of Inclusive Finance.Therefore,this paper based on the study of the credit rating of farmers in poverty-stricken areas that can help Rural Credit Union to improve the current credit model,and finally achieve the purpose of identifying risks and reducing the default repayment rate.