[1]FENG Kangli,LIU Xiaopeng,WEI Yuxi,et al.Measurement of Poverty Alleviation Sustainability and Influencing Factors Identification in Regional Villages Out of Deep Poverty[J].Research of Soil and Water Conservation,2023,30(04):347-354,364.[doi:10.13869/j.cnki.rswc.2023.04.023.]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
30
Number of periods:
2023 04
Page number:
347-354,364
Column:
Public date:
2023-06-10
- Title:
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Measurement of Poverty Alleviation Sustainability and Influencing Factors Identification in Regional Villages Out of Deep Poverty
- Author(s):
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FENG Kangli1, LIU Xiaopeng1,2, WEI Yuxi1, CUI Yunxia1, JIANG Chunmei1
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(1.School of Geographical Science and Planning, Ningxia University, Yinchuan 750021, China; 2.Ningxia Rural Revitalization Strategy Research Center, Yinchuan 750021, China)
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- Keywords:
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poverty alleviation sustainability; villages out of deep poverty; Xiji County
- CLC:
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F323.8
- DOI:
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10.13869/j.cnki.rswc.2023.04.023.
- Abstract:
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[Objective] The aims of this study are to measure poverty alleviation sustainability and identify obstacles in villages out of deep poverty scientifically, so as to provide practical support for achieving the consolidation of poverty alleviation achievements and the effective connection of rural revitalization. [Methods] This study constructed an index system for measuring poverty alleviation sustainability from five dimensions: natural environment, economic conditions, social capital, human resources and development opportunities. Taking villages out of deep poverty in Xiji County as the case area, this study measured poverty alleviation sustainability, identified influencing factors in villages out of deep poverty in 2021 by using methods such as methods for measuring poverty alleviation sustainability and the barrier model. [Results] The overall poverty alleviation sustainability was not high and there were differences in different geographical environments. The types of poverty alleviation sustainability differentiation could be identified as single dimensional constraint to sustainability, double dimensional constraint to sustainability and multi-dimensional constraint to sustainability. Number of new business entities and consumer business premises, rural collective economic income, average number of livestock breeding, number of e-commerce distribution points, rural dwelling quality index, amplitude relief were the main factors that affected poverty alleviation sustainability. [Conclusion] The poverty alleviation sustainability of the study village area out of poverty needs to be improved and there are multiple risks of returning to poverty. In the future, the reconstruction of return-to-poverty prevention and control strategies under different constraint and risk types should be strengthened based on regional characteristics.