Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/316620 
Year of Publication: 
2023
Citation: 
[Journal:] East Asian Economic Review (EAER) [ISSN:] 2508-1667 [Volume:] 27 [Issue:] 3 [Year:] 2023 [Pages:] 243-269
Publisher: 
Korea Institute for International Economic Policy (KIEP), Sejong-si
Abstract: 
The multidimensional poverty index is an indicator system established for defining and evaluating poverty, to understand poverty in dimensions beyond just monetary scarcity. Based on income, education, health, living standards, and social dimensions, this article measures and analyzes the level of multidimensional poverty in Xinjiang using the Alkire-Foster method, with cross-sectional data obtained from a 2022 survey. Probit model is constructed for regression analysis, further considering the impact of education on enhancing feasible capabilities and alleviating multidimensional poverty at the post-poverty alleviation era. The data shows that many people still face significant challenges from the perspective of multidimensional poverty; the decomposition results of each dimension show that education contributes more to the multidimensional poverty; the regression analysis results show that the higher the education level, the lower the multidimensional poverty; heterogeneity analysis revealed that the inhibitory effect of education on multidimensional poverty is greater for females than males, and the poverty reduction effect of education mainly concentrates on middle-aged and older individuals. This article is meaningful for exploring strategies to alleviate multidimensional poverty in ethnic minority regions in frontier areas in the new era, accelerating regional economic development, and achieving shared prosperity.
Subjects: 
Multidimensional Poverty
Education
Alkire-Foster Method
Poverty Alleviation
JEL: 
I24
I32
O15
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article

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