Multidimensional Poverty Measurement And Research On The Causes Of Poverty

Since the reform and opening up,China's poverty alleviation and development has achieved great results,and the incidence of poverty has been greatly reduced,now it has reached the spurt stage of poverty alleviation.The previous large-scale "extensive poverty alleviation"policy no longer meets the country's strategic needs,and the alternative is "targeted poverty alleviation."More and more scholars have realized that using a single income standard has failed to measure poverty in all its dimensions,the primary task of targeted poverty alleviation is accurate identification,only by accurately identifying of poor families can ensure accurate assistance.Accurately identifying poor families requires measuring poverty of families from multiple dimensions,Measuring poverty from multiple dimensions can include other indicators such as education,health,housing,and so on,and the families who are non-poor in income but poor in other indicators can be accurately identified,it's helpful for accurate assistance.The CFPS survey data from 2010 to 2014 were adopted,first,the multidimensional poverty index was used to measure the dynamic changes of multidimensional poverty in China in recent years,and the main areas and dimensions of poverty are analyzed by index decomposition,the sample households in Guizhou Province and the accurate identification index of poor families are used to illustrate the precise identification process of poverty.Then Probit model was used to analyze the influencing factors of multidimensional poverty,and the factors were analyzed from two aspects of personal characteristics and family factors.It is found that,The highest incidence of poverty is reflected in the three indicators of education,health facilities and garbage disposal;The level of multidimensional poverty in rural and western regions is more serious;The multidimensional poverty index shows a downward trend,and the decline rate in rural areas is higher than that in cities;The contribution of urban and rural areas to multidimensional poverty in china has remained basically stable,and the contribution of rural areas has remained at around 70%;Guizhou,Gansu,Yunnan and Sichuan are the provinces with the most severe multidimensional poverty.Poor families in Guizhou Province have the highest level of poverty on education,durable consumer goods,health facilities and income;The head of household's age,the proportion of non-agricultural income,the ratio of family labor,the average years of education for adults and the proportion of family unhealthy people all can significantly affect families into the probability of multidimensional poverty.The results of this paper are in the sprint stage of China's poverty alleviation,it has a strong theoretical and practical significance for the accurate identification of poor families,the efficient and accurate poverty alleviation,and the realization of the goal of fully building a well-off society by 2020.