Relative Spatial Poverty Within Guizhou Province, A Multidimensional Approach

Zhongfa Zhou () and Changli Zhu ()
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Zhongfa Zhou: Guizhou Normal University
Changli Zhu: Guizhou Normal University

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2022, vol. 161, issue 1, No 8, 170 pages

Abstract: Abstract Examining the poverty supervision evaluation index system and the dynamic characteristics of spatiotemporal interaction of poverty among regions are essential the investigation of regional sustainable poverty reduction. Despite some research on anti-poverty issues and gathering even more practical results, insufficient research on regional poverty persists, primarily because some studies lack geographic analysis and focus more on socioeconomic reasons and emergencies. Based on the composite ecosystem, this study aims to introduce a multidimensional poverty index (MPI) system, which considers people as the main body, natural environment as the foundation, and society as the support, then used to perform a spatiotemporal analysis. We used exploratory spatiotemporal data analysis method to determine the spatiotemporal interaction characteristics of multidimensional poverty. The spatial pattern of multidimensional poverty in the counties of Guizhou Province was significant, highlighting the distribution characteristics of “multicore” agglomeration centered on extremely impoverished areas. During the study period, the multidimensional poverty of Guizhou Province remained in a state of equilibrium, and the overall condition was shifting to the southeast. In addition, the local spatial structure of the MPI in the central and eastern counties was intensely dynamic. The spatiotemporal network of multidimensional poverty interaction in neighboring counties displayed primarily positive correlation, and 52.27% of the counties formed a spatially strong poverty reduction synergy.

Keywords: Multidimensional poverty; Poverty measurement; Spatiotemporal interaction; Guizhou Province (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11205-021-02825-1

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