Economics and Management School, Wuhan University, Wuhan 430072, China.
Centre for Social Security Studies, Wuhan University, Wuhan 430072, China.
Int J Environ Res Public Health. 2019 Oct 20;16(20):4018. doi: 10.3390/ijerph16204018.
Based on data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), this paper calculates the health distribution of the elderly using the Quality of Well-Being Scale (QWB) score, and then estimates health inequality among the elderly in rural China using the Wagstaff index (WI) and Erreygers index (EI). Following this, it compares health inequalities among the elderly in different age groups, and finally, uses the Shapley and recentered influence function-index-ordinary least squares (RIF-I-OLS) model to decompose the effect of four factors on health inequality among the elderly in rural China. The QWB score distribution shows that the health of the elderly in rural China improved with social economic development and medical reform from 2002 to 2014. However, at the same time, we were surprised to find that the health level of the 65-74 years old group has been declining steadily since 2008. This phenomenon implies that the incidence of chronic diseases is moving towards the younger elderly. The WI and EI show that there is indeed pro-rich health inequality among the rural elderly, the health inequality of the younger age groups is more serious than that of the older age groups, and the former incidence of health inequality is higher. Health inequality in the age group of 65-74 years old is higher than that in other groups, and the trend of change fluctuated downward from 2002 to 2014. Health inequality in the age group of 75-84 years old is lower than that in the group of 65-74 years old, but higher than that in the other age groups. The results of Shapley decomposition show that demographic characteristics, socioeconomic status (SES), health care access, and quality of later life contributed 0.0054, 0.0130, 0.0442, and 0.0218 to the health inequality index of the elderly, which accounted for 6.40%, 15.39%, 52.41%, and 25.80% of health inequality index. From the results of RIF-I-OLS decomposition, this paper has analyzed detailed factors' marginal effects on health inequality from four dimensions, which indicates that the health inequality among the elderly in rural China was mainly caused by the disparity of income, medical expenses, and living arrangement.
基于中国长寿纵向研究(CLHLS)的数据,本文使用福利质量量表(QWB)评分计算老年人的健康分布,然后使用 Wagstaff 指数(WI)和 Erreygers 指数(EI)估计中国农村老年人的健康不平等。在此基础上,比较不同年龄组老年人的健康不平等,最后使用 Shapley 和重新中心化影响函数-指数-普通最小二乘法(RIF-I-OLS)模型分解四个因素对中国农村老年人健康不平等的影响。QWB 评分分布表明,2002 年至 2014 年,中国农村老年人的健康状况随着社会经济发展和医疗改革而改善。然而,与此同时,我们惊讶地发现,2008 年以来,65-74 岁组的健康水平一直在稳步下降。这种现象意味着慢性病的发病率正在向年轻的老年人转移。WI 和 EI 表明,农村老年人确实存在富裕的健康不平等,年轻年龄组的健康不平等比老年年龄组更严重,前者的健康不平等发生率更高。65-74 岁年龄组的健康不平等高于其他组,2002 年至 2014 年的变化趋势呈波动下降。75-84 岁年龄组的健康不平等低于 65-74 岁年龄组,但高于其他年龄组。Shapley 分解结果表明,人口特征、社会经济地位(SES)、医疗保健获取和晚年生活质量对老年人健康不平等指数的贡献分别为 0.0054、0.0130、0.0442 和 0.0218,占健康不平等指数的 6.40%、15.39%、52.41%和 25.80%。从 RIF-I-OLS 分解的结果来看,本文从四个维度分析了详细因素对健康不平等的边际影响,表明中国农村老年人的健康不平等主要是由收入、医疗费用和生活安排的差异造成的。