我国人口老龄化对商业健康保险需求影响的U型关系研究

李建国, 林婷婷, 何晓娜

中国医疗保险 ›› 2022, Vol. 0 ›› Issue (11) : 102-108.

中国医疗保险 ›› 2022, Vol. 0 ›› Issue (11) : 102-108. DOI: 10.19546/j.issn.1674-3830.2022.11.021
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我国人口老龄化对商业健康保险需求影响的U型关系研究

  • 李建国, 林婷婷, 何晓娜
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A U-shaped Study on the Influence of Aging Population on the Demand of Commercial Health Insurance in China

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摘要

目的 探讨我国人口老龄化与商业健康保险需求之间的关系。方法 以2007年—2018年中国31个省、市、自治区的面板数据为基础,运用变系数模型进行实证分析。结果 (1)人口老龄化对商业健康保险需求具有显著性影响,但并非简单的线性关系,两者之间呈U型特征。2007年-2013年人口老龄化抑制商业健康保险需求,但跨过2014年“拐点”后促进商业健康保险需求的增加。(2)人均GDP、居民医疗保健支出、社会医疗保险对商业健康保险需求有正向影响作用。结论 从供给侧不断优化健康保险产品和服务,加强商业健康保险政策制度设计的前瞻性,促进社会医疗保险与商业健康保险、养老保险和商业健康保险协同发展。

Abstract

Objective: The paper explores the relationship between China's aging population, the demand for commercial health insurance. Method: Based on the panel data of31provinces, municipalities, autonomous regions in China from2007to2018, the variable coefficient model is used for empirical analysis. Results: The aging of the population has a significant impact on the demand for commercial health insurance, but it is not a simple linear relationship, but a U-shaped.relationship. The aging of the population from2007to2013inhibited the demand for commercial health insurance, but after the “turning point” in2014, the demand for commercial health insurance has increased.Per capita GDP, residents' health care expenditure, social medical insurance have a positive effect on the demand for commercial health insurance. Conclusion: We should continue to optimize health insurance products, services from the supply side, strengthen the foresight of the design of commercial health insurance policies, systems, promote the coordinated development of social medical insurance, commercial health insurance, as well as endowment insurance, commercial health insurance

关键词

商业健康保险 / 老龄化 / 变系数模型 / U型关系

Key words

commercial health insurance / aging / variable coefficient model / U-shaped relationship

引用本文

导出引用
李建国, 林婷婷, 何晓娜. 我国人口老龄化对商业健康保险需求影响的U型关系研究[J]. 中国医疗保险. 2022, 0(11): 102-108 https://doi.org/10.19546/j.issn.1674-3830.2022.11.021
A U-shaped Study on the Influence of Aging Population on the Demand of Commercial Health Insurance in China[J]. China Health Insurance. 2022, 0(11): 102-108 https://doi.org/10.19546/j.issn.1674-3830.2022.11.021
中图分类号: F840.684 C913.27   

参考文献

[1] United Nations, Department of Economic and Social Affairs, Population Division. United Nations Expert Group Meeting on Social and Economic Implications of Changing Population Age Structures: World population ageing 2009[J]. European Journal of Population, 2008, 24(4):451-452.
[2] United Nations, Department of Economic and Social Affairs, Population Division. World population ageing:1950-2050[EB/OL]. (2002-11-03)[2022-09-24]. https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/files/documents/2021/Nov/undesa_pd_2002_wpa_1950-2050_web.pdf.
[3] 国家统计局.第七次全国人口普查公报(第五号)[EB/OL]. (2021-05-11)[2022-09-24].http://www.stats.gov.cn/tjsj/tjgb/rkpcgb/qgrkpcgb/202106/t20210628_1818824.html.
[4] 姚余栋, 孙博,董克用. 中国养老金融发展报告(2016)[M]. 北京:社会科学文献出版社,2016:5-8.
[5] 国家卫生健康委老龄健康司. 2020年度国家老龄事业发展公报[EB/OL](2021-10-15)[2022-09-24].http://www.nhc.gov.cn/lljks/pqt/202110/c794a6b1a2084964a7ef45f69bef5423.shtml.
[6] 乐章,秦习岗.人口老龄化与医疗费用增长——基于医疗费用集中度和持续性的视角[J].人口研究,2021,45(05):104-116.
[7] 中国银行保险监督管理委员会.保险界医学界跨行业合作促进健康险发展[EB/OL].(2006-08-15)[2022-09-24].http://www.cbirc.gov.cn/cn/view/pages/ItemDetail_gdsj.html?docId=2438&docType=2.
[8] 刘彦欣. 我国商业健康保险发展机遇与挑战[J].对外经贸,2015(04):51-54.
[9] 中国保险行业协会.2020年度及2021年一季度商业健康保险发展形势调研报告[R]. 2021.
[10] Arrow,K.Uncertainty and the Welfare Economics of Medical Care[J]. American Economic Review, 1963, 53(5): 941-973.
[11] Banks J, Bassoli E, Mammi I .Changing attitudes to risk at older ages: The role of health and other life events[J]. Journal of Economic Psychology, 2020, 79(8):1-20.
[12] 王晓峰,冯园园.人口老龄化对医疗卫生服务利用及医疗卫生费用的影响——基于CHARLS面板数据的研究[J].人口与发展,2022,28(02):34-47.
[13] 封进,余央央,楼平易.医疗需求与中国医疗费用增长——基于城乡老年医疗支出差异的视角[J].中国社会科学,2015(03):85-103+207.
[14] 张鑫,杨林,蒋鹏.医疗保险态势与结构优化影响因素研究——基于人口结构变迁的视角[J].社会保障研究,2018(06):46-58.
[15] 刘芳芳,王秀华,卞虎. 我国商业健康保险发展影响因素实证分析[J]. 中国卫生政策研究,2010,3(09):38-44.
[16] 齐子鹏,许艺凡,胡洁冰.基于人口结构角度的商业健康保险需求分析[J]. 保险研究,2018(05):45-55.
[17] 王文静,彭荣,王童,等.基于面板模型的商业健康保险需求影响因素研究[J].浙江金融,2015(05):56-60.
[18] 唐金成,张杰.商业健康保险需求研究分析与对策建议[J].西南金融,2017(04):57-61.
[19] 李亚国.基于VAR模型的我国商业健康保险需求的影响因素研究[J]. 经济论坛,2017(07):118-121+137.
[20] 中国银行保险监督管理委员会. 2009年1-12月保险业经营情况表[EB/OL]. (2010-01-25)[2022-09-24]http://www.cbirc.gov.cn/cn/view/pages/ItemDetail.html?docId=367655&itemId=954&generaltype=0.
[21] Cheng L, Liu H, Zhang Y, et al.The health implications of social pensions: Evidence from China's new rural pension scheme[J]. Journal of Comparative Economics. 2018,46(1): 53-77.

基金

教育部人文社会科学研究规划基金“基于 PSTR 模型的我国农村医疗保险的反贫困效应研究”(19YJAZH043)

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