教育、社会资本与农户家庭多维贫困转化——来自CFPS微观面板数据的证据

Education,Social Capital and the Multidimensional Poverty Transformation of Peasant Households—Evidence from CFPS Micro Panel Data

本文利用CFPS微观面板数据,在对农户家庭多维贫困状态转化进行界定与识别区分的基础上,采用面板logit模型实证研究了教育、社会资本对农户家庭多维贫困状态转化的影响及其异质性。研究结果显示:教育与社会资本都显著地影响农户家庭多维贫困转化。劳均受教育程度提高将显著增加农户家庭脱离收入、生活条件、机会贫困的概率以及家庭多维贫困缓解的概率,显著降低家庭陷入诸类贫困的概率。社会资本积累增加将显著增加家庭脱离相对收入贫困、生活条件贫困和机会贫困的概率,也将增加家庭二维贫困缓解的概率,同时显著降低家庭陷入相对收入贫困和生活条件贫困的概率。教育与社会资本的交互项仅对家庭二维、三维贫困缓解(收入为相对标准)正向统计显著,表现出相互强化的互补关系。未能找到社会资本缓解绝对收入贫困及其多维贫困组合的稳定的正向支持证据。

On the basis of defining and identiing the multi-dimensional poverty and its transformation of state, this paper uses the micro panel data of Chinese family Panel Studies(CFPS)and the panel Logit model for a study on the influence of education, social capital and its interaction terms on the transformation of multi-dimensional poverty and its heterogeneity. The results show that: education and social capital both significantly influence the transformation of multi-dimensional poverty in peasant households. Education can effectively increase the probability of households out of income poverty, living conditions poverty, opportunity poverty and multidimensional poverty, it can also significantly reduces the probability that households fall into three kinds of poverty as above-mentioned. Social capital can effectively increase the probability of households out of relative income poverty, living conditions poverty, opportunity poverty and two-dimensional poverty;it can also significantly reduces the probability of fall into relative poverty and living conditions poverty. The interaction item is statistically significant only for households' two and three dimensional poverty alleviation (income is relative standard), displaying a remarkable mutual complement and mutual promotion relationship. No positive evidence was found for social capital to alleviate the stability of absolute income poverty and its multidimensional poverty combination.