On Recognition Mechanism Of Targeted Poverty Alle Viation In Rural Areas In Guizhou Under The Backgro Und Of Big Data

Accurate identification is the primary link in precision poverty alleviation.The accuracy of precision identification is directly related to a series of problems such as poverty analysis,help measures and fund arrangement,which ultimately affect the effect of precision poverty alleviation,which is related to whether poor households can get out of poverty.Precise poverty alleviation is due to China's poverty alleviation has come to the crucial stage,is to bite hard bones,playing tough battle period,the past poverty alleviation has been difficult to make a progressive breakthrough,poor poor poverty is also difficult,in external factors and Internal factors under the joint action,poverty alleviation must also take the road of innovation,find new ways to solve the old problem.The first step in precision poverty alleviation is the identification of precision.The study of precision identification can explore the advantages,problems and how to solve the problem in the identification mechanism,and help to identify the appropriate poor households.In the era of large data development,the amount of data is large,scattered and hidden,but the value of information is indeed immeasurable,which can be found from many cases the answer.Large data in the background of the precise identification of the more meaningful,the first large data collection,processing,management so that accurate identification of more scientific and reasonable,this mechanical identification can avoid too much subjective factor judgments,leading to malicious exclusion and subjective The increase in exclusion,which is large data can help solve the problem;followed by large data sharing,timely and efficient information,so whether it is government support units or enterprises to help or non-governmental organizations help,can be based on the database inside the real-time dynamic Information to understand thesituation of poor households,is conducive to the development or change of help measures to achieve the most efficient and efficient poverty alleviation;the last is the big data out of the exit mechanism,which can be based on the development trend of poor households themselves,dig out their internal strength,And the farmers have been out of poverty in a timely manner out of the data platform,and then re-identify eligible poor households to help,once on the line into a self-circulation help system.This paper uses the literature collection method and the empirical analysis method to carry on the qualitative research to the accurate identification under the large data background of Guizhou province,in order to discuss the advantages and disadvantages of the accurate identification under the big data,the existing problems and make relevant suggestions.This paper is based on the Guizhou Province as the research object,to find some places of precision identification work mechanism,and a case analysis,in-depth study of Guizhou large data under the precise identification.One is the impact of large data on precision poverty alleviation,which is to explain the large data to join the precise poverty alleviation changes;the second is the Guizhou case in the large data background of the precise identification of a detailed introduction to understand the precise identification mechanism of the operation process and The existence of the advantages and disadvantages;third is to elaborate under the large data,Guizhou accurate identification of the existing problems: the family income is difficult to determine the poor households indicators are limited,cadres lack of awareness of poverty,critical poor households screening,and the corresponding issues The fourth is to propose solutions,such as improving the poverty alleviation policy,mobilize the recognition of enthusiasm,improve the identification indicators,etc.;five is the sum of the full text and explain the lack of this article.