China’s Urban Poverty Measure Based On Eles Model

With the speed of China’s rapid economic growth and urbanization, a large number of affluent rural population join in the city.The development of technology, knowledge updating, and industrial restructuring is unemployed many of the urban population. In this context, urban people’s poverty gives significance play to social stability and development.In this paper, we used ELES model to estimate the urban poverty line in the provinces of China in2009and calculation of poverty indicators, the results of the various provinces in2009, indicators of poverty decomposition, the contribution of economic growth and income distribution on poverty.Differences provincial poverty line estimated by ELES model, and the Bootstrap method is used to improve the robustness of the results. On account of the consumption of different income groups we use the weighted least squares method to estimate. After calculated the ELES model’s poverty line we used CQ model decomposition of poverty indicators. According to the2009results of the provincial poverty estimates, we get the static analysis of the status quo of China’s urban poverty in2009.Estimate the impact of economic growth and income distribution of urban poverty in the provinces, and dynamic analysis of urban poverty.Finally, we use data visualization techniques and statistical professional software R to draw the poverty map and analyze the dynamic poverty trend of the urban residents’ disposable income changes from2001to2009. The poverty results provide the provinces analysis of the main problems, its influencing factors, and ideas for all levels of government to understand the poverty situation and the development of relevant policies.This article’s innovations have two points:(1) Using the Bootstrap method to improve the robustness estimation of ELES model of the poverty line. Exploited ELES model and CQ model estimates of the various provinces, to improve the reliability of the results;(2) using data visualization techniques and R software to draw the poverty map, and clarity of the display of the provinces poverty and poverty indicators’dynamic trend.