School of Health Policy and Management, Nanjing Medical University, 101 Longmian Avenue, Nanjing 211166, China.
Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, No. 44 Wenhuaxi Road, Jinan 250012, China.
Health Policy Plan. 2022 Aug 3;37(7):849-857. doi: 10.1093/heapol/czac029.
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.
虽然中国已经消除了极端贫困,但空巢家庭中的老年人在未来仍有可能陷入或重返贫困。以前的扶贫研究侧重于特定时间点的事后贫困测量。很少有研究从前瞻性视角评估家庭的贫困脆弱性。本研究旨在确定农村空巢家庭中老年人的贫困脆弱性及其决定因素。共纳入 1951 户农村空巢家庭,对其中的老年人进行了为期 1 年的随访。采用三阶段可行广义最小二乘法估计 2019 年和 2020 年的贫困脆弱性。采用回归模型探讨不同因素对贫困脆弱性的影响,并采用 Shapley 值分解各因素的贡献和归因百分比。随着贫困门槛的提高,基于 2019 年贫困脆弱性预测 2020 年贫困状况的成功率从 33.00%提高到 63.71%。无论贫困门槛如何,2019 年至 2020 年贫困脆弱性的发生率都有所下降。例如,在山东省贫困线以下,估计农村空巢家庭中老年人贫困脆弱性的比例从 2019 年的 15.63%下降到 2020 年的 11.17%。Shapley 分解结果表明,家庭劳动力数量、受访者的教育和年龄以及家庭规模是对贫困脆弱性贡献最大的四个最具影响力的因素。本研究表明,一部分农村空巢家庭中的老年人仍处于贫困脆弱性状态。未来扶贫政策的制定应优先考虑这些群体,并根据农村空巢家庭中老年人的贫困脆弱性驱动因素,采取有针对性的扶贫和减贫措施。