Multidimensional Poverty Standard Measurement

Poverty is a significant worldwide problem. China once faces the world’s worst poverty problem in the past, but now China has made a great achievement in eliminating poverty, the proportion of extreme poverty population declined from 60% in 1990 to 12%. According to Human Development Report 2015, the proportion of extreme poverty population in the world declined from 1.9 billion in 1990 to 836 million in 2015, and China has contributed more than 70%. In the 13th Five-Year Plan period, China had targeted helping all the poor people under the current poverty standard out of poverty, We could know China take poverty problem very seriously.But China’s current rural poverty standard and urban subsistence Security line of many provinces or cities is far away from the world bank standard $1.9 per day which had measured from the poorest 15 countries.This article obtains from the theory of poverty and summarizes the main poverty concept and measurement.It collects and analyses the China’s current urban and rural security standards, poverty, and poverty alleviation,and uses multidimensional poverty perspective select five consumer spending in resident family life. Then using ELES method to measure the nearly 10 years of Chinese urban and rural multidimensional poverty line, and through the data extrapolation method for multidimensional poverty level in nearly three years. In order to make a detailed comparison results.It sum the past ten years’ national and provincial rural poverty and urban Subsistence Security.At last it analyses by comparing the Chinese existing in the current standards such as lack of poverty line set level more low standard reference factors, the current poverty and poverty statistics, the provincial security standards is uneven, In this paper, through the comparative analysis and found the problems in the current standard of China such as lack of poverty line multidimensional reference factors, poverty line is not subsisted enough, poverty statistics is not comprehensive, provincial security standards gap is large,etc. And hoping the multidimensional poverty measure can make a little contribution in poor precision positioning.