Study On Risk Assessment Of Preventing Re-poverty Of Monitoring Objects In X County Based On Analytic Hierarchy Process

The poverty phenomenon in China has existed for a long time,has long affected the process of building a well-off society in an all-round way in China,China attaches great importance to poverty,2020 Chinese poverty engines achieved decisive success,absolute poverty gained effective control in China,but after solving the problem of absolute poverty,our poverty phenomenon still exists in the form of relative poverty.When the task of poverty alleviation is completed,we should not take it lightly.When we have the opportunity to get rid of poverty,we will also have the risk of returning to poverty.Therefore,how to consolidate the achievements of the fight against poverty and avoid the major task of returning to poverty.Therefore,the identification and evaluation of the existing risks of returning to poverty in different regions has become one of the topics widely concerned in the academic circles.X County,as one of the major agricultural counties in Henan Province,is also facing the severe challenge of returning to poverty.This thesis takes X County in Henan Province as an example to carry out a field survey,takes the monitoring object of poverty prevention scientifically divided by the government as the research object,adopts the research method of combining quantitative analysis with qualitative analysis,and uses the theory of vicious circle of poverty,risk management theory,and sustainable livelihood theory as the theoretical basis to evaluate the risk of poverty return in the current region.First of all,for the identification of risk indicators,we collected risk indicators related to returning to poverty with the literature collection method,invited experts in relevant fields to score,and established the risk assessment indicator system for returning to poverty in X County,which is composed of five criteria level indicators and 13 scheme level indicators;Through the analytic hierarchy process,it is calculated that the weight value of the target layer of the poverty return risk index system in X County is the largest risk of poverty return in the capacity type,followed by the disaster type,and the other three types are health type,policy type and concept type from the largest to the smallest.Using the fuzzy comprehensive evaluation method,according to the principle of maximum subordination,it is determined that the current risk of poverty return in X County is average.According to the evaluation results,the risk indicators with the highest degree of subordination among the five risk types are natural disasters,major sudden diseases,labor capacity,policy continuity and bad habits.This thesis puts forward corresponding improvement suggestions for these risk indicators.