The follow-up support work for relocation is not only crucial in stabilizingand increasing the income of the re-located population,accelerating social integration,and resolving the risk of poverty and poverty-returning,but also es-sential in consolidating and expanding the achievements of poverty alleviation,effectively connecting them with rural re-vitalization,and promoting the realization of common prosperity.Based on the micro-survey data of 1 297 households from 10 provinces in West China,this study uses principal component analysis and instrumental variable quantile re-gression model to comprehensively evaluate the effectiveness of follow-upsupport policies,conduct regional priority e-valuation,and then analyze the influencing factors of the effectiveness.This study has the following findings.(1)There are significant regional differences in the effectiveness of subsequent support policies,roughly showing a spatial distri-bution characteristic of"high in the northwest and low in the southwest".(2)Non-agricultural livelihoods,social cap-ital,and endogenous power are the key factors to improving the effectiveness of the policies.(3)Further discussion re-veals that there is a positive correlation between farmers'income level and policy effectiveness,and that the types of re-settlement areas,differences in social capital,and gender differences all affect the stability of the effectiveness of follow-up support policies.Therefore,follow-up support work in various regions should improve and upgrade the supporting infrastructure and public service facilities in resettlement areas,develop leading industries in multiple ways to accelerate the pace of economic and social integration of the people,activate the endogenous power of the people for self-develop-ment,and introduce and optimize differentiated follow-up support policies to increase the subjective well-being of relo-cated people.
关键词
易地搬迁/后续扶持政策/安置效果评价/防止规模性返贫/可持续生计/乡村全面振兴
Key words
relocation/follow-upsupport policies/evaluation of resettlement effect/prevent large-scalerelapse into pover-ty/sustainable livelihoods/rural comprehensive revitalization
万方数据