中国农村多维贫困测算与结构分解——基于CFPS 2018的实证研究

Multidimensional Poverty Measurement and Structural Decomposition in Rural China--Empirical Research Based on CFPS 2018

采用基于“可行能力”理论的多维贫困标准进行贫困识别对我国相对贫困治理具有十分重要的意义。本文基于中国家庭追踪调查2018年的数据,运用A-F双临界值法,对我国农户多维贫困状况进行测算及结构分解。分析结果表明:我国农村地区将近10.9%的农户有三个以上的指标被剥夺,多维贫困发生率较高;家庭劳动力水平和灾难性医疗支出对多维贫困指数的贡献度最高,是影响农户贫困的两个重要的因素。基于此,本文提出科学制定相对贫困的多维识别标准、推动脱贫攻坚与乡村振兴相结合、进一步完善多层次社会保障体系等建议。

Adopting multidimensional poverty standard based on"Capability Approach"theory to identify poverty is of great significance for relative poverty governance in China.Based on the data of CFPS in 2018,this paper uses the A-F double critical value method to measure and decompose the multidimensional poverty situation of rural households in China.The results show that nearly 10.9%of rural households in China have been deprived of more than three indicators,which means the incidence of multidimensional poverty is high.Household labor force level and catastrophic medical expenses contribute the most to the multidimensional poverty index,which are two important factors affecting the poverty of rural households.Based on this,this paper puts forward some suggestions,such as establishing a multi-dimensional identification standard of relative poverty,promoting the combination of poverty alleviation and rural revitalization,and further improving a multi-level social security system.