标题: What Do We Know about Multidimensional Poverty in China: Its Dynamics, Causes, and Implications for Sustainability

作者: He, J (He, Jing); Fu, C (Fu, Cheng); Li, X (Li, Xiao); Ren, F (Ren, Fu); Dong, JX (Dong, Jiaxin)

来源出版物: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 卷: 12 期: 2 文献号: 78 DOI: 10.3390/ijgi12020078 出版年: FEB 2023

摘要: Poverty is a primary obstacle to achieving sustainable development. Therefore, exploring the spatiotemporal dynamics and causes of poverty is of great significance to the sustainable poverty reduction of the "post poverty alleviation era" in China. This paper used the multisource big data of 2022 counties in China from 2000 to 2015 to establish a comprehensive evaluation framework to explore the multidimensional poverty situation in China. The results showed the following findings: There is an obvious spatiotemporal heterogeneity of multidimensional poverty, showing a typical stair-like gradient from high in the west to low in the east, with the poverty level in state-designated poverty counties higher and intensifying over time. The spatial differentiation of multidimensional poverty is contributed to by multiple factors, in which the geographical condition has a stronger impact on state-designated poverty counties, while natural endowment and human resources have a stronger effect on non-state-designated poverty counties. These things considered, the regional poverty causes were relatively stable before 2015, but the poverty spatial agglomeration of some regions in the Northwest, Northeast, and Yangtze River Economic Belt has undergone significant changes after 2015. These findings can help policymakers better target plans to eliminate various types of poverty in different regions.

作者关键词: multidimensional poverty; spatiotemporal dynamics; heterogeneity; state-designated poverty counties; sustainable development

地址: [He, Jing; Ren, Fu] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Fu, Cheng] Univ Zurich, Dept Geog, CH-8057 Zurich, Switzerland.

[Li, Xiao] Texas A&M Transportat Inst, 1111 RELLIS Pkwy, Bryan, TX 77807 USA.

[Ren, Fu] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

[Ren, Fu] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

[Dong, Jiaxin] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.

通讯作者地址: Ren, F (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Ren, F (通讯作者)，Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

Ren, F (通讯作者)，Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

电子邮件地址: renfu@whu.edu.cn

影响因子：3.099