Identifying vulnerability to poverty and its determinants among older adults in empty-nest households: an empirical analysis from rural Shandong Province, China

Author:

Jing Zhengyue12,Li Jie2,Gao Tingting2,Wang Yi2,Chen Zhuo3,Zhou Chengchao24

Affiliation:

1. School of Health Policy and Management, Nanjing Medical University , 101 Longmian Avenue, Nanjing 211166, China

2. Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University , No. 44 Wenhuaxi Road, Jinan 250012, China

3. Department of Health Policy Management, College of Public Health, University of Georgia , Athens, GA 30602, USA

4. NHC Key Lab of Health Economics and Policy Research, Shandong University , No. 44 Wenhuaxi Road, Jinan 250012, China

Abstract

Abstract Although extreme poverty has been eradicated in China, older adults in empty-nest households may risk falling into or returning to poverty in the future. Previous studies on poverty alleviation had focused on the measurement of ex-post poverty at a particular time. Few studies have assessed households’ vulnerability to poverty from a forward-looking perspective. This study aims to identify the vulnerability to poverty and its determinants among rural empty-nest households with older adults. A total of 1951 rural empty-nest households with older adults followed for 1 year were included in the analysis. The three-stage Feasible Generalized Least Square method was used to estimate the vulnerability to poverty in 2019 and 2020. A regression model was used to explore the effect of different factors on vulnerability to poverty, and Shapley values were used to decompose each factor’s contribution and the attributable percentage. With the increase of the poverty threshold, the success rate of predicting poverty status in 2020 based on poverty vulnerability in 2019 increased from 33.00% to 63.71%. Regardless of the poverty threshold, the vulnerability to poverty incidence decreased from 2019 to 2020. For example, under the Shandong province poverty line, the estimated proportion of rural empty-nest households with older adults vulnerable to poverty had decreased from 15.63% in 2019 to 11.17% in 2020. The Shapley decomposition results suggested that the number of the household labour force, the interviewees’ education and age and household size were the four most influential factors that contributed significantly to the poverty vulnerability. This study reveals that a portion of rural empty-nest households with older adults are still vulnerable to poverty. The formulation of future anti-poverty policies should prioritize these groups and adopt targeted poverty prevention and poverty alleviation measures based on the driving factors of poverty vulnerability among rural empty-nest households with older adults.

Funder

China Medical Board

National Natural Science Foundation of China

Shandong University

Cheeloo Youth Scholar Grant

Publisher

Oxford University Press (OUP)

Subject

Health Policy

Reference49 articles.

1. Determinants of rural households’ vulnerability to poverty in Chencha and Abaya districts, Southern Ethiopia (Microeconometric Analysis);Abebe,2016

2. An assessment of vulnerability to poverty in rural Nigeria;Agbaje;ARPN Journal of Agricultural and Biological Science,2013

3. The maximum likelihood and the nonlinear three-stage least squares estimator in the general nonlinear simultaneous equation model;Amemiya;Econometrica: Journal of the Econometric Society,1977

4. Marital status, household size and poverty in Nigeria: evidence from the 2009/2010 survey data;Anyanwu;African Development Review,2014

5. Health shocks in Sub-Saharan Africa: are the poor and uninsured households more vulnerable?;Atake;Health Economics Review,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3