基于供应链智能深度学习技术的农村普惠金融发展水平评价与测度

Liping Huang
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引用次数: 0

摘要

发展农村普惠金融,满足农村多层次的金融需求,是促进农村经济快速发展的重要手段。本文以浙江省农村普惠金融的实践为基础,通过问卷调查和访谈,分析了浙江省农村普惠金融的发展现状。本文根据中国人民银行发布的《中国普惠金融指标分析报告(2020)》中的评价指标体系,设计了浙江省农村普惠金融发展水平的指标体系,并对发展水平进行了测算,得出浙江省农村普惠金融发展处于中等水平的结论。该指标体系基于深度学习技术,将应用领域转化为成功的平台,实现研究增长和多模型信息增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation and Measurement of the Development Level of Rural Inclusive Finance Using Deep Learning Technology for Supply Chain Intelligence
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.
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