Multidimensional Poverty Transformation and its Influencing Factors in Rural Households ——Evidence from the Data of CFPS
XIAO Pan1, SU Jing2, YAN Xiaomeng3
1.Collaborative Innovation Center of Construction and Development for Dongting Lake Eco-economic Zone, Changde 415000 ,China; 2.Hunan University of Arts and Sciences, Changde 415000, China; 3.Texas A&M University, Texas, Houston 77840, America
Abstract：
Using the data of CFPS and Logit model, this paper studies the influencing factors of multi-dimensional poverty transformation in rural households. The results show that: education and employment transfer of labor force play a key role in promoting households lifting out of poverty and preventing households from falling into poverty. Social capital is good for families to rise out of living, opportunities and medium poverty, but it has no positive effect on absolute and deep poverty. Health is good for getting rid of income poverty. The effect of family size on the transformation of living and opportunity poverty is different. Government subsidies have played no positive role in poverty alleviation. The influence of the age of householder on the transfer of income poverty, opportunity poverty, depth poverty and moderate poverty is characterized by the inverted “U” pattern. The impact on roll-in poverty is just the opposite. The impact of gender of householder, farming or not and village characteristics on multi-dimensional poverty transformation are different. Economic growth promotes income and living poverty alleviation, and prevent households falling into poverty. But there is no positive evidence for it to reduce opportunity and deep poverty.
XIAO Pan, SU Jing, YAN Xiaomeng.Multidimensional Poverty Transformation and its Influencing Factors in Rural Households ——Evidence from the Data of CFPS[J] Economic Survey, 2020,V37(2): 36-43
2020 
