Evaluation and Measurement of the Development Level of Rural Inclusive Finance Using Deep Learning Technology for Supply Chain Intelligence

Abstract

Developing rural inclusive finance and meeting the multi-level financial needs of rural areas is an important means to promote the rapid development of rural economy. Based on the practice of rural inclusive finance in Zhejiang Province, this paper analyzed the development status of rural inclusive finance in Zhejiang Province through questionnaire and interview. According to the evaluation indicator system in the Analysis Report of China’s Inclusive Financial Indicators (2020) released by the People’s Bank of China, this paper designed an indicator system for the development level of rural inclusive finance in Zhejiang Province, and then measured the development level, and concluded the development of rural inclusive finance in Zhejiang Province was in a medium level. The indicator system is based upon deep learning technology which leads to the application areas which are transformed in a successful platform, experiencing research growth and multimodel information growth.