摘要
扶贫是我国全面建设小康社会、实现共同富裕的重大举措。在此背景下,文章利用2012—2016年31个省市自治区的宏观经济数据,采用空间计量模型对中国省域农村扶贫效果及其影响因素进行了实证研究。研究结果表明,传统的扶贫手段如教育扶贫、产业扶贫、社保政策兜底对提升农村居民人均收入具有显著影响,而金融扶贫、医疗扶贫等扶贫手段更需要制定精准的扶贫策略,此外省域间的相互联系也对扶贫效果产生了显著影响。因此,在扶贫工作进行过程中,各级政府应当充分提高扶贫政策制定时的针对性和有效性,在关注传统扶贫方式时,不断扩展新的扶贫手段。
Poverty alleviation is a major measure for building a well - off society in China. In this background, this article uses the macroeconomic data from 2012 to 2016 to analyze the impact of rural poverty alleviation in China and its impact factors of empirical research. The results show that traditional means of poverty alleviation, such as education poverty alleviation,industrial poverty alleviation and social security policies has a significant impact on improving per capital income of rural residents. Financial poverty alleviation and medical poverty alleviation need to develop accurate poverty alleviation strategies. In addition, the interconnections between provinces also have a significant impact on the effects of poverty alleviation. Therefore, during the poverty alleviation work, governments at all levels should fully improve the pertinence and effectiveness of poverty reduction policies, and expand new means of poverty alleviation while focusing on traditional poverty alleviation methods.
作者
阚剑
Kan Jian(School of Statistics and Mathematics,Zhongnan University of Economics and Law,Wuhan 430073,China)
出处
《中南财经政法大学研究生学报》
2018年第1期67-76,共10页
Journal of the Postgraduate of Zhongnan University of Economics and Law
关键词
扶贫效果
空间相关性
空间误差模型
Precise Poverty Alleviation
Spatial Correlation
Spatial Error Model