Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies
文献类型:期刊论文
作者 | Liu, Yansui1,2,3; Liu, Jilai3; Zhou, Yang1,2,3 |
刊名 | JOURNAL OF RURAL STUDIES
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出版日期 | 2017-05-01 |
卷号 | 52页码:66-75 |
关键词 | Spatio-temporal pattern of rural poverty Targeted poverty alleviation Exploratory spatial data analysis Rural transformation development China |
ISSN号 | 0743-0167 |
DOI | 10.1016/j.jrurstud.2017.04.002 |
通讯作者 | Zhou, Yang(zhouyang@igsnrr.ac.cn) |
英文摘要 | Poverty is a challenge facing all countries and the international community as a whole. Promoting development, narrowing the rural-urban gap, eliminating poverty and achieving common prosperity are all ideals that humanity constantly pursues. Despite the great achievements have been made in poverty alleviation over the past three decades, the extent of poverty in rural China is still high. It is both necessary and urgent to fully understand the root and status quo of China's poverty and establish a scientific poverty relief system. Based on high resolution poverty data, this study systematically examined the status quo and spatial distribution characteristics of poverty in rural China and its driving mechanism. The results showed that the distribution of the Chinese rural poor exhibits a distinct spatial agglomeration feature. Poverty is mainly concentrated in the remote deep rocky mountainous areas, border areas and minority areas of central and western China and gradually gathers towards the southwestern region. The "islanding effect" may well appear in China's poverty-stricken regions in the future. The proportion of poor people in the northwestern and southeastern regions of the Hu Huanyong line was 16.4% and 83.6%, respectively, indicating the uneven distribution of the rural poor. Furthermore, further investigations indicated that suffering from illness is the greatest contributor to current individual or transient poverty in rural China. The lack of natural endowments, poor geographic conditions and fragile ecological environment are the main driving forces behind persistent poverty. Ultimately, we proposed that China implement a scientific, differentiated, sustainable, targeted and problem-oriented poverty alleviation strategy that can lift the country's rural poor population out of poverty by 2020 as scheduled. (C) 2017 Elsevier Ltd. All rights reserved. |
WOS关键词 | MULTIDIMENSIONAL POVERTY ; POLICY IMPLICATIONS ; PERSISTENT POVERTY ; TRANSIENT POVERTY ; DEVELOPMENT GOALS ; DEVELOPING-WORLD ; VULNERABILITY ; INEQUALITY ; GROWTH ; PEOPLE |
资助项目 | Major Program of National Social Foundation of China[15ZDA021] ; National Natural Science Foundation of China[41601172] ; National Natural Science Foundation of China[41471143] ; Certificate of China Postdoctoral Science Foundation Grant[2016M591105] |
WOS研究方向 | Geography ; Public Administration |
语种 | 英语 |
WOS记录号 | WOS:000403630200007 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
资助机构 | Major Program of National Social Foundation of China ; National Natural Science Foundation of China ; Certificate of China Postdoctoral Science Foundation Grant |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/63564] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhou, Yang |
作者单位 | 1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Ctr Assessment & Res Targeted Poverty Alleviat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Beijing Normal Univ, Coll Resources Sci & Technol, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Yansui,Liu, Jilai,Zhou, Yang. Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies[J]. JOURNAL OF RURAL STUDIES,2017,52:66-75. |
APA | Liu, Yansui,Liu, Jilai,&Zhou, Yang.(2017).Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies.JOURNAL OF RURAL STUDIES,52,66-75. |
MLA | Liu, Yansui,et al."Spatio-temporal patterns of rural poverty in China and targeted poverty alleviation strategies".JOURNAL OF RURAL STUDIES 52(2017):66-75. |
入库方式: OAI收割
来源:地理科学与资源研究所
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