Research on the Early Warning Mechanism of the Risk of Returning to Poverty—Based on the Analysis of Contiguous Destitute Areas in Hunan Province

Abstract

Based on the relevant poverty theories, this paper conducts a comprehensive and systematic analysis of the incentives for returning to poverty. The evaluation method combining the coefficient of variation method and the entropy method is used to establish the early warning standard of poverty return, and evaluate the early warning situation of poverty return based on the BP neural network measurement model. Then, a sample of 37 counties in contiguous destitute areas in Hunan Province was used to evaluate the police situation of returning to poverty. The study found that the people who got rid of poverty in the contiguous destitute areas of Hunan Province mainly received mild early warning. The quality of life in this area was relatively good, and the risk of returning to poverty was low. Finally, policy recommendations are given based on each warning situation.