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Understanding the inconsistent relationships between socioeconomic factors and poverty incidence across contiguous poverty-stricken regions in China: Multilevel modelling
Ren, Zhoupeng1; Ge, Yong1,2,3; Wang, Jinfeng1; Mao, Jingyao1; Zhang, Qi4
2017-08-01
Source PublicationSPATIAL STATISTICS
ISSN2211-6753
Volume21Pages:406-420
Corresponding AuthorGe, Yong(gey@lreis.ac.cn)
AbstractUnderstanding discrepancies in the effects of various socioeconomic predictors of poverty incidence across different contiguous poverty-stricken regions can provide new information for Chinese policymakers. However, no comprehensive statistical analysis exists. In this paper, we apply a multilevel model, together with systematic and high-quality poverty incidence data from China's 13 poverty-stricken regions in 2013, to explore spatial patterns in county-level poverty incidence and to estimate the effects of seven selected socioeconomic predictors of poverty incidence. Our results showed that rural income, urbanization, education (gross enrolment ratio of senior high school students), grain production and irrigated land ratio had a significantly negative association with poverty incidence. Nevertheless, in different regions, some predictors had larger effects on poverty incidence than others. Targeted region-specific poverty-alleviation policies based on these findings could effectively support on-going poverty reduction efforts in China. (C) 2017 Elsevier B.V. All rights reserved.
KeywordPoverty incidence Contiguous poverty-stricken regions Multilevel model Spatial varying relations
DOI10.1016/j.spasta.2017.02.009
WOS KeywordRURAL CHINA ; INCOME INEQUALITY ; REDUCING POVERTY ; REDUCTION ; GROWTH ; EDUCATION ; ALLEVIATION ; INVESTMENT ; IRRIGATION ; REFORMS
Indexed BySCI
Language英语
Funding ProjectKey Technologies Research and Development Program of China[2012BAH33B01] ; Key Technologies Research and Development Program of China[2012BAI32B06]
Funding OrganizationKey Technologies Research and Development Program of China
WOS Research AreaGeology ; Mathematics ; Remote Sensing
WOS SubjectGeosciences, Multidisciplinary ; Mathematics, Interdisciplinary Applications ; Remote Sensing ; Statistics & Probability
WOS IDWOS:000410649600006
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/61922
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGe, Yong
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
4.Beijing Normal Univ, Sch Econ & Resource Management, Beijing 100875, Peoples R China
Recommended Citation
GB/T 7714
Ren, Zhoupeng,Ge, Yong,Wang, Jinfeng,et al. Understanding the inconsistent relationships between socioeconomic factors and poverty incidence across contiguous poverty-stricken regions in China: Multilevel modelling[J]. SPATIAL STATISTICS,2017,21:406-420.
APA Ren, Zhoupeng,Ge, Yong,Wang, Jinfeng,Mao, Jingyao,&Zhang, Qi.(2017).Understanding the inconsistent relationships between socioeconomic factors and poverty incidence across contiguous poverty-stricken regions in China: Multilevel modelling.SPATIAL STATISTICS,21,406-420.
MLA Ren, Zhoupeng,et al."Understanding the inconsistent relationships between socioeconomic factors and poverty incidence across contiguous poverty-stricken regions in China: Multilevel modelling".SPATIAL STATISTICS 21(2017):406-420.
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