Research To The Influential Factors Of The Poor’s Income In Cities And Towns Of China

Research and discussion on poverty has been noticed by scholars. Because of the economic transition, urban poverty has become increasingly outstanding. Studying this issues is not only for China’s development, but also has great significance to the development of contemporary economics.This article is from the perspective of data analysis on China’s poor class by using kernel density estimation and quantile regression techniques. The data is from China Health and Nutrition Survey. Due to the problem of missing data, the author select the data of Jiangsu province, Shandong province, Henan province, Hubei province, Hunan province, Guangxi province, Guizhou province, and the years of1989,1993,1997,2000,2004,2006,2009,2011, total eight years. The author use per capita GDP of all provinces, gender, age, education as the independent variables, and the logarithm of income as the dependent variable, and the model had achieved good results.Firstly, according to the definition of urban poverty, the author used quantile0.05for poverty class, and0.2for the relatively poor class, middle-income class0.5,0.8for the higher income class. Then the author analyzed the features of poverty groups. By modeling all the factors, mainly education and regional economic development situation affected the income of poverty class. And regional economic development played a major role, but with the development of our economy, the affection is weakening by the time, so does education. The impaction of education on poverty class is bigger than other classes. And the impaction of age and gender is not significant. So give poor children more chances of education and make efforts to develop the economy, the urban poverty can be reversed.