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Geographical patterns and anti-poverty targeting post-2020 in China
Guo Yuanzhi1,2,3; Zhou Yang1,2; Cao Zhi1,2
2018-12-01
Source PublicationJOURNAL OF GEOGRAPHICAL SCIENCES
ISSN1009-637X
Volume28Issue:12Pages:1810-1824
Corresponding AuthorCao Zhi(caoz.14b@igsnrr.ac.cn)
AbstractPoverty has been a focus of Chinese government for a long time. It is therefore of great significance to investigate both the mechanisms and spatial patterns of regional impoverishment in order to adequately target Chinese anti-poverty goals. Based on the human-environment relationship and multidimensional poverty theory, this study initially develops a three-dimensional model encompassing human, society, and environmental factors to investigate the mechanisms of rural impoverishment as well as to construct an indicator system to evaluate the comprehensive poverty level (CPL) in rural areas. A back propagation neural network model was then applied to measure CPL, and standard deviation classification was used to identify counties that still require national policy-support (CRNPSs) subsequent to 2020. The results of this study suggest that CPL values conform to a decreasing trend from the southeast coast towards the inland northwest of China. Data also show that 716 CRNPSs will be present after 2020, mainly distributed in high-arid areas of the Tibetan Plateau, the transitional zones of the three-gradient terrain, as well as karst areas of southwest China. Furthermore, CRNPSs can be divided into four types, that is, key aiding counties restricted by multidimensional factors, aiding counties restricted by human development ability, aiding counties restricted by both natural resource endowment and socioeconomic development level, and aiding counties restricted by both human development ability and socioeconomic development level. We therefore propose that China should develop and adopt scientific and targeted strategies to relieve the relative poverty that still exist subsequent to 2020.
Keywordhuman-environment relationship multidimensional poverty comprehensive poverty level geographical pattern anti-poverty targeting poverty geography China
DOI10.1007/s11442-018-1580-z
WOS KeywordMULTIDIMENSIONAL POVERTY ; ALLEVIATION
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFC0504701] ; National Natural Science Foundation of China[41871183] ; National Natural Science Foundation of China[41471143]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China
WOS Research AreaPhysical Geography
WOS SubjectGeography, Physical
WOS IDWOS:000455924200005
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/50586
Collection中国科学院地理科学与资源研究所
Corresponding AuthorCao Zhi
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Ctr Assessment & Res Targeted Poverty Alleviat, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Guo Yuanzhi,Zhou Yang,Cao Zhi. Geographical patterns and anti-poverty targeting post-2020 in China[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2018,28(12):1810-1824.
APA Guo Yuanzhi,Zhou Yang,&Cao Zhi.(2018).Geographical patterns and anti-poverty targeting post-2020 in China.JOURNAL OF GEOGRAPHICAL SCIENCES,28(12),1810-1824.
MLA Guo Yuanzhi,et al."Geographical patterns and anti-poverty targeting post-2020 in China".JOURNAL OF GEOGRAPHICAL SCIENCES 28.12(2018):1810-1824.
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