Identifying the Spatial–Temporal Patterns of Vulnerability to Re-Poverty and its Determinants in Rural China

China has achieved remarkable results and made great contributions in poverty reduction alleviation. However, with the continuous advancement of poverty alleviation, the emergence of re-poverty has become a tangible problem. In this study, an analysis framework for vulnerability to re-poverty (VRP)...

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Bibliographic Details
Published in:Applied spatial analysis and policy 2022-06, Vol.15 (2), p.483-505
Main Authors: Pan, Ying, Chen, Jing, Yan, Xiaoyan, Lin, Jinhuang, Ye, Shilin, Xu, Yecheng, Qi, Xinhua
Format: Article
Language:English
Subjects:
East and West
Employment
Heterogeneity
Human Geography
Landscape/Regional and Urban Planning
Poverty
Regional/Spatial Science
Regions
Rural areas
Social Sciences
Spatial analysis
Urbanization
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Summary:China has achieved remarkable results and made great contributions in poverty reduction alleviation. However, with the continuous advancement of poverty alleviation, the emergence of re-poverty has become a tangible problem. In this study, an analysis framework for vulnerability to re-poverty (VRP) is established. Furthermore, the spatial–temporal patterns and obstacle factors of VRP in rural China from 2000 to 2017 are explored. The results show the overall spatial pattern of VRP in rural China in the past 18 years exemplifies spatial heterogeneity. Notably, the “Hu Huanyong Line” is the boundary, and are significant differences between the east and west China. Next, VRP shows a significant global spatial positive correlation, indicating a significant spatial agglomeration characteristic. Moreover, the local spatial autocorrelation analysis shows that VRP has a certain spatial dependence. Finally, the rate of urbanization and number of rural employees have become the key obstacles to VRP in rural China. Therefore, VRP in different regions are influenced by the proportion of gross output value of agriculture to gross regional output value, average annual precipitation, elevation, relief degree of land surface, number of welfare agencies, and the Normalized Difference Vegetation Index (NDVI). Based on these findings, some policy recommendations are proposed, including promoting new urbanization, providing rural employment, strengthening infrastructure, and improving the resilience of ecological environments.
ISSN:1874-463X
1874-4621
DOI:10.1007/s12061-021-09407-1