Analysis on the Measurement and Dynamic Evolution of Multidimensional Return to Poverty in Chinese Rural Households

Songmao Wang (), Yingzhi Guo () and Zhaoli He ()
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Songmao Wang: Shandong Agricultural University
Yingzhi Guo: Fudan University
Zhaoli He: Nanjing University of Finance and Economics

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2023, vol. 165, issue 1, No 2, 52 pages

Abstract: Abstract Existing studies rarely focus on the quantitative measurement of the multi-dimensional return to poverty in Chinese rural households. Therefore, this paper assessed the dynamic evolution of multidimensional return to poverty in Chinese rural households based on the China family panel studies during 2010–2018, applied methods like artificial neural network and multi-dimensional measurement model. Here are the results: (1) Chinese rural households’ multidimensional return-to-poverty index dropped significantly from 0.0567 in 2012 to 0.0425 in 2018, mainly due to the decreased poverty returning rate. (2) Annual net income per capita was a major contributor to the decrease of multidimensional return to poverty, followed by four indicators in health dimension—adult health, out of pocket healthcare payment, health insurance, and senior and children health. (3) Chinese rural households’ multidimensional return-to-poverty index manifested great spatial heterogeneity—increasing from Eastern China, to Central China, then to Western China. In the end, this paper proposed policy suggestions on preventing poverty returning and promoting common prosperity.

Keywords: Chinese rural households; Multidimensional return-to-poverty index; Dynamic evolution (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11205-022-03000-w

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