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刊名: 人口与经济
Population & Economics
主办: 首都经济贸易大学
周期: 双月
出版地:北京市
语种: 中文;
开本: 大16开
ISSN: 1000-4149
CN: 11-1115/F
邮发代号: 2-252 

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中国居民健康不平等的测度及影响因素研究
作者: 王洪亮
单位: 南京审计大学 经济学院, 江苏 南京 211815
关键词: 健康不平等; 收入健康矩阵; 广义 OProbit 模型
分类号:C92-05
出版年,卷(期):页码:2023(02):124-144
摘要:
人民健康是民族昌盛和国家富强的重要标志, 居民健康水平的高低和健康平等程度更是事关健康中国建设目标的实现, 为此, 确定提高居民健康水平和缩小居民健康不平等的影响因素极具现实意义。采用广义 OProbit 模型 (Generalized Ordered Probit) 分
析了居民健康的影响因素, 从健康单维度和健康收入双维度测算了居民健康不平等, 利用Erreygers 指数和 RIF 分解方法对居民健康不平等进行了分解, 结果表明: 收入和教育均对居民健康有促进作用, 但其主要作用是将居民从健康最差的底层推出, 随后对健康的促进作用减弱。人口特征、生活方式和家庭因素对居民健康也有显著影响。城市居民的健康水平高于农村居民, 但城市居民健康不平等大于农村, 沿海地区居民健康不平等大于内陆地区。将居民健康不平等的变动分解为收入增长效应、收入分配效应和收入流动效应后发现, 对健康不平等贡献最大的是收入分配效应, 收入不平等的加剧会扩大健康不平等, 而收入水平的提高有利于缩小健康不平等。 采用 RIF 方法将健康不平等的变化分解到各影响因素, 发现教育能显著缩小健康不平等, 结婚、 年龄增长和睡眠时长都有利于健康不平等的缩小, 而低体重和社会活动参与并不利于缩小健康不平等, 儿童时期的健康状况能够显著影响居民健康水平, 但不影响居民健康不平等。

People’ s health is an important symbol of national prosperity and strength, and health equality and the level of health are key issues related to the realization of the goal of
building a healthy China. Therefore, it is of great practical significance to determine the influencing factors for improving residents’ health level and narrowing health inequalities. In this paper, the Generalized Ordered Probit Model is used to analyze the influencing factors of residents’ health, and the health inequality of residents was measured from the single
dimension of health and the double dimension of health and income. The Erreygers index and RIF decomposition method are used to decompose the health inequalities. The results show that both income and education have a positive effect on health, but their main effect is to push people out of the bottom of the lowest health level, and then the effect of health promotion decreases. Demographic characteristics, lifestyle and family factors also have a significant impact on the residents’ health. The health level of urban residents is higher than that of rural residents, but the health inequalities of urban residents is greater than that of rural residents, and the health inequalities of coastal residents is greater than that of inland residents. The variation of health inequalities is divided into income growth effect, income distribution effect
and income mobility effect. The results show that the income distribution effect contributes most to health inequality, and the increasing of income inequality is the main cause of the increasing of health inequalities, while the increase of income is beneficial to reduce health inequalities.
RIF method is used to decompose variation in heath inequalities into the respective influencing factors, which finds that: 1 ) education can significantly reduce health inequalities. 2 ) Marriage, age and the sleep time are good for narrowing health inequalities. 3) Low weight and participation in social activities are not conducive to reducing health inequalities. 4) Childhood health can significantly affect residents’ health level, but not influence the residents’ health inequalities.
基金项目:
国家社会科学基金项目 “中国居民健康差异的变化趋势及新时期的对策研究” (20BJL151); 教育部人文社会科学基金项目 “中国居民健康不平等及其分解的实证研究”(18YJA790076); 江苏省 “333 工程” 培养资助项目 “中国居民
健康不平等及其分解: 基于二维分解的新方法”(BRA2020073)。
作者简介:
王洪亮, 管理学博士, 南京审计大学经济学院教授。
参考文献:

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