贫困残疾人的识别及扶贫政策评价

The Identification of Poor Disabilities and Evaluation of Anti-poverty Policies in China

文章利用中国残联第二次全国抽样调查数据,采用probit、工具变量与分位回归等方法研究了残疾人收入水平的影响因素,得出结论认为具有残疾程度高、家庭规模大、受教育程度低和不经常参加公共活动等特征的残疾人更容易陷入贫困。此外,在控制一系列个体、家庭变量后,文章还对中国现有的残疾人扶贫政策进行评价,并提出相关政策建议。

With the second national survey data from CDPF this paper adopts 'Probit','IV' and 'Quantile regression' methods to study the impact factors of dropping into poverty of disabilities.The study concludes that disabilities with 'higher degree of disability','larger family size','fewer social activities' and 'lower education' are more likely to drop into poverty.Meanwhile,the study also evaluates anti-poverty policies after controlling for the endogenous problems with an instrument variable.Finally,this paper puts forward some recommendations to benefit disabilities development in the future.