A Study on Credit Data-Based Poverty Alleviation in Rural Yunnan, China

• Published in: Computational intelligence and neuroscience Vol. 2022; pp. 1 - 9
• Main Authors: Deng, Song, Yang, Di, Gao, Zhaoli, Yuan, Zhen, Yao, Chenghui
• Format: Journal Article
• Language: English
• Published: New York Hindawi 22.08.2022; Hindawi Limited
• Subjects: Agricultural production; Agriculture; Banking industry; Banks; Breeding of animals; By products; Commercial banks; Construction loans; Economic development; Farms; Fisheries; Fixed assets; Income; Income distribution; Industrial development; Infrastructure; Loans; Manufacturing; Net income; Per capita; Poverty; Research methodology; Resource allocation; Rural areas; Supervision; Technical services; United States > US; China; Yunnan China
• ISSN: 1687-5265; 1687-5273
• DOI: 10.1155/2022/9498056

The main path of development credit funds in rural poverty alleviation in Y province is crucial. This paper studies the rural poverty alleviation work in extreme poverty areas in Yunnan and puts forward targeted and instructive policy suggestions for specific difficult areas. Research the relationship between credit resource allocation and rural poverty alleviation. The existing research is mainly based on the relationship between financial development and economic growth, income growth, income distribution, and, on the surface, the relationship between the scale of financial development and the efficiency of financial development and other indicators. The purpose is to put forward targeted measures and suggestions on the basis of theoretical research and model analysis to help the Yunnan banking industry support poverty alleviation. The results of the study show that there is a causal relationship between agriculture-related loans.