Research On Poverty Reduction Effect Of Human Capital Based On Quantile Regression Method

China's poverty alleviation plan has continued to deepen,and poverty alleviation methods have also been continuously innovated.Utilizing the geography and resource advantages of poverty-stricken areas,PV poverty alleviation has been used to increase income for the poor,and it has also been possible to increase income for people through various means such as poverty alleviation through tourism and poverty alleviation.Great achievement,the use of multi-dimensional poverty measurement has become more and more mature,but the ordinary multi-dimensional poverty measurement method has certain limitations.The fuzzy set method has the advantages that ordinary multi-dimensional measurement methods do not have,so the use of fuzzy set method to measure poverty has certain significance.Human capital consists of two main parts: education capital and health capital.These two parts are all important for reducing poverty.This paper aims to discuss the poverty in China in 11 years through CHNS 2000,2006 and 2011 three-year data.Changes and the changing role of human capital in improving poverty.By using the complete fuzzy and relative method(TFR)to measure the poverty rate,it is found that the poverty situation in China has been greatly improved between2000 and 2011,and the total poverty rate has dropped from 0.120 in 2000 to 0.096 in2011.However,there is a wide gap between urban and rural areas and between regions.The poverty rate in rural areas is significantly higher than that in urban areas,and this gap persists.With the passage of time,the gap gradually narrows;poverty in the eastern region is gradually reduced;The rate is significantly lower than in the central and western regions.At the same time,the poverty rate of each indicator in each dimension is also gradually declining.Only the poverty index of the housing index shows a gradual upward trend.This performance is seen in the eastern,central and western regions,which can be seen in the current poverty alleviation work.Housing poverty should be placed in a very important position.The 0.25,0.5,and 0.75 quantile regression analysis of the poverty rate across the country found that the family members' health insurance status,the highest education level of the family,whether the head of household's occupation is state-owned,urban-rural differences,and regional differences all have different degrees of poverty rates.influences.All family members joining the health insurance,raising the education level of the family members,the householder's occupation is state-owned,and the family belongs to the town can all reduce the probability of families falling into poverty.In addition,it is also found that the urban-rural dummy variable gradually reduces the impact on the poverty rate,which shows that China's overall urban-rural development has achieved certain results,and the gap between urban and rural areas is narrowing.Compared with the high-quantity regression,in the low quantile regression,the level of education has a greater impact on reducing poverty,so for this group of people in the poor,through the provision of financial aid or preferential vocational education,can be significant Reduce the poverty rate in this group of people.