The study on farmer’s digital inclusive financial behavior by big data analysis algorithms

Abstract

The aim of this paper is based on the results of the literature review and questionnaires,combined with the methods of big data analysis algorithms,analysis of variance, analysis of regression, analysis Of Effects and other methods to explore the development of digital financial finance in rural areas, studies the frequency of residents' monthly credit loans, studies the education level, monthly income, and the advantages and disadvantages of financial institutions. According to the results of analysis of correlation and data model fitting, age, cognition of the advantages of financial institutions significantly affect the frequency of residents 'average monthly use of credit loans and residents' digital inclusive finance Amount of financing obtained. The government and financial institutions can refer to the research and suggestions to optimize the policies, improve the current existing problems, accelerate the speed of financial innovation, and promote the rapid development of inclusive finance.