| In 2020,my country will eliminate absolute poverty,but the problem of critical poverty still exists.Critical poverty refers to the state where the income level is on the edge of the current poverty line or slightly higher than the poverty line,but the living standard is not significantly different from that of the poor groups recognized by the system below the poverty line.Most districts and counties in Northeast Chongqing have the dual attributes of impoverished mountainous areas and the Three Gorges Reservoir area,and the ecological environment is fragile.Facing the dual tasks of ecological protection and consolidating the results of poverty alleviation,how to ensure that the "critically poor groups" in Northeast Chongqing and Chongqing will not become poor is still an issue.It is a major problem in anti-poverty governance.This paper takes the critical poverty groups in Northeastern Chongqing as the research object,and uses statistical analysis,principal component analysis and other methods to study the identification and prevention of critical poverty groups.The main research contents and conclusions are as follows:Analyze the status quo of "critical poor groups" in Northeast Chongqing from three aspects: quantity structure,spatial distribution characteristics,and livelihood status.In terms of quantitative structure,the "critical poor groups" in Northeast Chongqing are evenly distributed,showing a certain regional quantitative balance.However,the region’s population aging problem is very serious.In terms of spatial distribution characteristics,we observed a positive correlation between the degree of impoverishment and altitude.In terms of livelihood,although the housing and drinking water conditions in northeastern Chongqing are relatively good,we still cannot ignore the problems in medical care and education.Insufficient medical services and unbalanced educational resources may affect the livelihood and development opportunities of local residents.On the basis of the poverty risk framework SLA,select 25 items from the survey data for principal component analysis.After obtaining the data,nine factors can be extracted to complete 63.78% of the total variance of the risk of poverty;the indicators with higher loads of these nine factors can be summarized to obtain social security and labor force,policy and family economic status,health status,family special Conditions,education and welfare,business income and epidemic situation,drinking water and medical insurance,housing conditions,transfer income and epidemic situation;combined with the SLA framework,these nine categories are comprehensively summarized,and the main factors affecting the risk of poverty in Northeast Chongqing are obtained There are six aspects: natural assets,capital assets,financial assets,material assets,social assets,and political assets.Combined with the model research to obtain the risk factors of poverty,formulate corresponding prevention and control countermeasures.Establish a dynamic monitoring and early warning system for "critically poor groups",increase income levels through industrial revitalization,and establish a supervision and incentive mechanism for poverty prevention and control.Insufficient research and research prospects.There are certain deficiencies in the selection of indicators and methods in the study.In the future,it is necessary to combine deep learning methods to establish a more targeted poverty risk model in Northeast Chongqing to prevent the occurrence of poverty caused by "critical poor groups" in Northeast Chongqing. |
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