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利用中国营养与健康调查(CHNS)1989-2011年数据,使用收入贫困和多维贫困测量方法对残疾人贫困状况的动态特征进行了研究,并采用logit模型分析了残疾对个体贫困的影响和导致残疾人贫困的因素。残疾人与非残疾人的收入贫困和多维贫困状态都在逐步改善,但残疾人的多维贫困指数都高于非残疾人,且前者比后者更容易陷入贫困;教育、医疗保险和卫生设施是对残疾人多维贫困指数贡献最大的三个指标,农村残疾人比城市残疾人对多维贫困指数的贡献更大;教育和就业是导致残疾人贫困的重要因素。提出了改善当前残疾人贫困状况的政策建议。
Using the data from 1989 to 2011 of China Nutrition and Health Survey (CHNS), we study the dynamic characteristics of poverty in people with disabilities by using income poverty and multidimensional poverty measurement. The logit model is used to analyze the impact of disability on individual poverty and disability Poverty factors. The income poverty and multidimensional poverty of disabled and non-disabled people are gradually improving, but the multi-dimensional poverty index of disabled people is higher than that of non-disabled people, and the former is more likely to fall into poverty than the latter; education, health insurance and sanitation facilities are The three indicators that make the most contribution to the multidimensional poverty index for persons with disabilities contribute more to the multidimensional poverty index for rural disabled people than urban people with disabilities; education and employment are the major factors that cause the poverty of disabled people. Proposed policy recommendations to improve the current poverty situation for persons with disabilities.