Life expectancy, long-term care demand and dynamic financing mechanism simulation: an empirical study of Zhejiang Pilot, China

被引:2
作者
Xu, Xueying [1 ]
Li, Yichao [2 ]
Mi, Hong [2 ]
机构
[1] Zhejiang Univ, Sch Int Studies, Hangzhou, Peoples R China
[2] Zhejiang Univ, Sch Publ Affairs, Hangzhou, Peoples R China
关键词
Long-term care insurance; Life expectancy; Dynamic financing model; Simulation analysis; Zhejiang province; China; SOUTH-KOREA; INCOME COUNTRIES; INSURANCE; MORTALITY; DISABILITY; SUSTAINABILITY; COMPRESSION; LESSONS; TRENDS; MODEL;
D O I
10.1186/s12913-024-10875-7
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background China has piloted Long-Term Care Insurance (LTCI) to address increasing care demand. However, many cities neglected adjusting LTCI premiums since the pilot, risking the long-term sustainability of LTCI. Therefore, using Zhejiang Province as a case, this study simulated mortality-adjusted long-term care demand and the balance of LTCI funds through dynamic financing mechanism under diverse life expectancy and disability scenarios.Methods Three-parameter log-quadratic model was used to estimate the mortality from 1990 to 2020. Mortality with predicted interval from 2020 to 2080 was projected by Lee-Carter method extended with rotation. Cohort-component projection model was used to simulate the number of older population with different degrees of disability. Disability data of the older people is sourced from China Health and Retirement Longitudinal Study 2018. The balance of LTCI fund was simulated by dynamic financing actuarial model.Results Life expectancy of Zhejiang for male (female) is from 80.46 (84.66) years in 2020 to 89.39 [86.61, 91.74] (91.24 [88.90, 93.25]) years in 2080. The number of long-term care demand with severe disability in Zhejiang demonstrates an increasing trend from 285 [276, 295] thousand in 2023 to 1027 [634, 1657] thousand in 2080 under predicted mean of life expectancy. LTCI fund in Zhejiang will become accumulated surplus from 2024 to 2080 when annual premium growth rate is 5.25% [4.20%, 6.25%] under various disability scenarios, which is much higher than the annual growth of unit cost of long-term care services (2.25%). The accumulated balance of LTCI fund is sensitive with life expectancy.Conclusions Dynamic growth of LTCI premium is essential in dealing with current deficit around 2050 and realizing Zhejiang's LTCI sustainability in the long-run. The importance of dynamic monitoring disability and mortality information is emphasized to respond immediately to the increase of premiums. LTCI should strike a balance between expanding coverage and controlling financing scale. This study provides implications for developing countries to establish or pilot LTCI schemes.
引用
收藏
页数:13
相关论文
共 77 条
[1]  
[Anonymous], 2023, World Economic Outlook Update: Inflation Peaking amid Low Growth
[2]  
[Anonymous], 2023, World population prospects 2022
[3]   Curbing the demographic "drifting dune" in long-term care insurance financing: The case of Germany [J].
Bahnsen, Lewe ;
Wimmesberger, Florian Maximilian .
INTERNATIONAL SOCIAL SECURITY REVIEW, 2023, 76 (01) :35-56
[4]  
Bai C., 2022, China Econ Quart, V22, P653
[5]  
Bai R, 2023, Lancet Public Health
[6]   Thirty years on: A review of the Lee-Carter method for forecasting mortality [J].
Basellini, Ugofilippo ;
Camarda, Carlo Giovanni ;
Booth, Heather .
INTERNATIONAL JOURNAL OF FORECASTING, 2023, 39 (03) :1033-1049
[7]   The Private Market for Long-Term Care Insurance in the United States: A Review of the Evidence [J].
Brown, Jeffrey R. ;
Finkelstein, Amy .
JOURNAL OF RISK AND INSURANCE, 2009, 76 (01) :5-29
[8]   Was there compression of disability for older americans from 1992 to 2003? [J].
Cai, Liming ;
Lubitz, James .
DEMOGRAPHY, 2007, 44 (03) :479-495
[9]   Lessons From Public Long-Term Care Insurance In Germany And Japan [J].
Campbell, John Creighton ;
Ikegami, Naoki ;
Gibson, Mary Jo .
HEALTH AFFAIRS, 2010, 29 (01) :87-95
[10]   A comparative, correlate analysis and projection of global and regional life expectancy, healthy life expectancy, and their GAP: 1995-2025 [J].
Cao, Xinxi ;
Hou, Yabing ;
Zhang, Xinyu ;
Xu, Chenjie ;
Jia, Peng ;
Sun, Xiaomin ;
Sun, Li ;
Gao, Ying ;
Yang, Hongxi ;
Cui, Zhuang ;
Wang, Youfa ;
Wang, Yaogang .
JOURNAL OF GLOBAL HEALTH, 2020, 10 (02)