摘要
本文以产出模型为基础进行理论分析,并以福建省宁德市为例通过构建面板数据模型进行实证研究分析,分别研究了省级扶贫开发工作重点县和非省级扶贫开发工作重点县的信贷投入、财政支出和产业结构等因素对县域农民减贫增收的效果。结果显示,农户信贷和财政支出都能对省级扶贫开发工作重点县的减贫增收起到显著的推动作用,贫困地区产业结构调整短期内并不能很好的促进农民增收,但随着资本逐渐积累产业结构能发挥减贫增收的作用。文章最后就如何具体实施精准扶贫从五个角度给出了建议。
This paper is based on the input-output model to analyze theoretically and used statistical data of Ningde City, Fujian Province to create Panel Data Model. The paper studied the influences of credit investment, fiscal spending and industrial structure on farmers' income of the provincial poverty alleviation and development work in key counties and non-key poverty alleviation counties. The results showed that household credit and fiscal spending played remarkable roles in poverty alleviation and improved farmers' income standard. The adjustment of industrial structure can not promote farmers' income effectively, but with capital accumulated, the industrial structure can promote the growth of farmers' income and reduce poverty. At the end, the author gave some suggestion on how to take targeted measures in poverty alleviation from five aspects.
出处
《上海立信会计金融学院学报》
2017年第2期26-34,共9页
Journal of Shanghai Lixin University of Accounting and Finance
关键词
精准扶贫
农户信贷
财政支出
产业结构
农民收入
Precision for poverty alleviation
Household credit
Fiscal spending
Industrial structure
Farmers ' income