生活安排和代际支持对灾难性医疗支出发生率的影响:中国的微观经济分析

IF 5.5 1区 经济学 Q1 ECONOMICS
Sarah Bridges , Lefan Liu
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引用次数: 0

摘要

本文使用了2011年、2013年、2015年和2018年进行的中国健康与退休纵向研究(CHARLS)的数据,来检验最近的健康和社会变化对家庭管理疾病经济负担能力的影响。尽管中国的医疗保险在过去十年中经历了重大改革,但自费医疗支出仍然普遍存在。由于在提供健康保险方面存在这些差距,家庭被迫依靠其成年子女提供支助。我们发现,支持的类型很重要,对于生活在多代家庭中的父母来说,灾难性卫生支出的发生率最低,在这种家庭中,儿童更容易提供直接获得的工具和情感支持。对于没有共同居住的家庭,当地的支持(由与父母住在同一个村庄/社区的孩子提供的那种)不能代替所有孩子都住在村庄/社区以外的家庭所获得的援助(通常是经济援助)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect living arrangements and intergenerational support have on the incidence of catastrophic health expenditure: A microeconomic analysis for China
This paper uses data from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015 and 2018 to examine the effect recent health and societal changes have had on the ability of households to manage the financial burden of disease. Although health insurance in China has undergone significant reforms over the past decade, out-of-pocket health spending is still widespread. In light of these gaps in the provision of health insurance, households are forced to rely on their adult children for support. We find that the type of support matters, with the incidence of catastrophic health expenditure being the lowest for parents who live in multigenerational households, where it is easier for children to provide directly accessible instrumental and emotional support. For households where there is no co-residence, local support (of the type provided by children who live in the same village/neighbourhood as their parents) is no substitute for the type of assistance (usually financial) that households receive when all their children live beyond the village/neighbourhood.
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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