摘要
乡村振兴的关键是打赢脱贫攻坚战。集中连片特困地区是我国精准扶贫的重点区域,致贫因素复杂,扶贫任务艰巨。基于秦巴山区农户的调查数据,运用A-F测度方法对农户多维贫困进行测度与分解,并运用Probit回归模型对其影响因素进行实证分析。结果表明:农户在厕所类型、做饭燃料、健康状况和受教育程度等方面存在严重的问题,贫困现象普遍。K=3时,农户多维贫困发生率高达90.56%,多维贫困指数为0.391 6;农户家庭65岁以上人数、耕地面积、地理位置和地理环境对农户多维贫困有显著正向影响;户主婚姻状况、受教育水平、健康状况、家庭人口数量等对农户多维贫困有显著负向影响。建议从生活水平、健康医疗、养老保障和教育等方面进行重点扶贫,使农户早日脱贫致富。
The key to China's rural revitalization is to win the battle against poverty. The concentrated contiguous poverty-striken areas should be paid special attention in precise poverty alleviation, where the factors leading to poverty are complex and the task of poverty alleviation is arduous. Based on the survey data of farmers in Qinba Mountain Area, the study uses A F measurement method to measure and decompose the multidimensional poverty of farmers, and applies Probit regression model on its influencing factors. The study finds that farmers have severe poverty in terms of toilet type, cooking fuel, health status and education level. When K=3, the multi-dimensional poverty rate of farmers is as high as 90.56%, while the multidimensional poverty index is 0.391 6; the number of people over 65 years old, the area of cultivated land, geographical location and geographical environment have significant positive impact on the multidimensional poverty of farmers, while the marital status, education level, health status and family size have significant negative impact. It is recommended to focus on poverty alleviation from the aspects of living standards, health care, old age security and education, so as to prompt farmers to get rid of poverty and become well-off as soon as possible.
引文
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