中国家庭长期多维贫困状态转化及教育因素研究

研究目标：分析教育因素对长期多维贫困的影响。研究方法：结合Foster（2009）持续时间分析法和A-F双界线法构建了长期多维贫困指数，并选取混合效应回归模型、明瑟收入方程及其改进形式，重点分析家庭教育因素对长期多维贫困的影响。研究发现：教育已经成为长期多维贫困的主要贡献因素，其贡献度随着贫困持续时间的增加而增加。教育水平不同导致教育回报率差异进而影响贫困家庭贫困剥夺深度和贫困持续时间差异，并且高中及以上学历的教育回报率呈明显递增趋势。研究创新：将多维贫困在静态时点上的测度拓展到跨期的动态测度，并从微观家庭所在社区（村）拥有的教育资源和各级教育回报率差异等方面剖析了家庭陷入长期多维贫困的原因。研究价值：为构建长期多维贫困指数和促进“精准扶贫、精准脱贫”提供理论参考。

The Chronic Multidimensional Poverty State Transition and Education Factors in China

Research Objectives: Measuring the impacts of education on chronic multidimensional poverty in China.Research Methods: Based on A-F dual cut-off approach and the duration approach of Foster (2009), this paper builds up an index of chronic multidimensional poverty, and explores the impacts of education on chronic multidimensional poverty using mixed effects regression model, the Mincer equation and its improved form.Research Findings: Education makes the most contribution to chronic multidimensional poverty and the impact increases with the increasing of duration of poverty.Educational level leads to the difference in the rate of return on education, which can affect the depth and duration of poverty.Moreover, the rate of return on high school or higher education shows a significant upward trend.Research Innovations: Extending the static measurement of multidimensional poverty to dynamic measurement, and analyzing the reasons of the differences in educational resources and levels of education leading poverty difference.Research Value: The model and findings can be used to measure chronic multidimensional poverty and provide targeted approach to alleviate poverty