摘要
实证研究普惠金融对我国绝对贫困和相对贫困的政策影响,不仅有着重要的现实意义,还会弥补现有研究“重定性轻定量”的不足。基于GMM模型对我国31个省、自治区和直辖市2006-2016年的面板数据,实证检验了普惠金融对我国贫困率和收入不均衡的改善作用。研究结果表明,我国使用普惠金融手段进行的精准扶贫显著降低了各省份的贫困率,并且对收入不均衡现象具有明显的改善作用。
The impact of inclusive finance of the policies on the absolute and relative poverty is studied empirically in China,which has great significance and also make up for the deficiency about the existing researches that emphasizes qualitative analysis over quantitative analysis.Based on GMM model,using the panel data of 30 provinces in China from 2006 to 2015,the impact of inclusive finance on absolute and relative poverty is focused.The results show that the precision poverty alleviation by means of inclusive finance has significantly reduced the poverty rate in various provinces and has the remarkable mitigation effect on the income imbalance.
作者
方莹
袁晓玲
房玲
FANG Ying;YUAN Xiao-ling;FANG Ling(School of Economics and Finance,Xi'an Jiaotong University,Xi'an 710061,China;Department of Management,Shanghai Baoshan Spare Time University,Shanghai 201900,China;State Grid ShanXi Accounting Centre,Taiyuan 030032,China)
出处
《统计与信息论坛》
CSSCI
北大核心
2019年第10期56-62,共7页
Journal of Statistics and Information
基金
教育部哲学社会科学研究重大课题攻关项目《新常态下中国经济运行机制的变革与中国宏观调控模式重构研究》(15JZD012)
关键词
普惠金融
精准扶贫
贫困率
GMM模型
inclusive finance
precision poverty alleviation
poverty rate
GMM model