Research On The Identification Of Poor Households In The Precision Poverty Alleviation In Rural Areas

Sichuan is a province with large numbers of poor people in western China.Among them,Mianyang is not only one of the main battlefield of poverty alleviation and development in Qinba Mountain area,but also one of the main battlefield of poverty alleviation in Sichuan Province.In recent years,the Government has promulgated a series of anti-poverty policies and measures to carry out accurate poverty alleviation work,and is committed to the management of rural poverty,the identification of poor households,industrial poverty alleviation,rural finance and other aspects of continuous exploration,practical level has achieved some results.But with the in-depth development of precision poverty alleviation,in practice,it has been found that the problem of the identification of the poor has gradually become the focus of precision poverty alleviation,and the methods commonly used to measure poverty in a single income dimension have many problems,such as no recognition,no tracking,no scale,etc.With the development of the concept of multidimensional poverty,people's understanding of poverty has deepened,and more and more scholars have begun to study the problem of poverty from multiple dimensions,with a view to identifying and quantifying the effects of various factors on poverty.Based on the relevant theories of precisionpoverty alleviation and multidimensional poverty,this paper considering the factors such as the availability and validity of the data,we choose 11 indexes from 5 dimensions,such as income,health level and living condition,to establish multidimensional poverty model,and use statistical principal component analysis to carry out empirical study on the residents of 7 counties and cities in Mianyang.The results show that single reliance on income to identify poverty is far from sufficient for precision poverty alleviation,and that poverty should be identified from multidimensional perspectives.Through the study of poverty identification model in this paper,it is found that the first four index factors which are the most correlated with poverty are traffic condition,physical health condition,radio and TV network condition and basic housing condition,The income level as a recognition of whether the weight of poverty accounted for only 0.073,in all indicators of the weight factor ranked Ninth,indicating that income is no longer the only important measure,the current stage should be identified from a multidimensional degree.On the basis of theoretical and empirical research,this paper further combines the poverty alleviation of rural poor farmers with "precision poverty alleviation" and "precision Identification",explores the deficiencies of current poverty alleviation policies from Mianyang's geographical location and economic conditions,and discusses the factors of poorpoverty in rural areas of Mianyang,This paper expounds the causes of poverty of rural peasant households in Mianyang City,and on this basis,the paper puts forward some pertinent policy suggestions on how to identify poverty,improve dynamic mechanism and construct poverty identification system according to the multidimensional degree.