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Assessing the Sustainability of Long-Term Care Insurance Systems Based on a Policy-Population-Economy Complex System: The Case Study of China.

Publication ,  Journal Article
Peng, R; Deng, X; Xia, Y; Wu, B
Published in: International journal of environmental research and public health
May 2022

Although China launched long-term care insurance (LTCI) pilot program in 2016, there are great challenges associated with developing a sustainable LTCI system due to limited financial resources and a rapid increase in the aging population. This study constructed an LTCI policy−population−economics (PPE) system to assess the sustainability of the LTCI system in China. Based on the latest 76 LTCI policy documents published between 2016 and 2021, this study evaluated the strength of LTCI policy modeling in 14 pilot cities by constructing a policy modeling consistency (PMC) index containing 9 main variables and 36 sub-variables. The coupling coordination model was used to evaluate the interaction between LTCI policy, population aging, and economic development. The results showed that the PMC index ranged from 0.527 to 0.850. The policy strength of Qingdao, Nantong, and Shanghai was the highest (PMC > 0.8). Anqing, Qiqihaer, Chongqing, and Chengdu had the lowest level of policy strength (PMC < 0.6). The main policy weaknesses were the coverage of the LTCI, the sources of funds, the scope of care services, and benefit eligibility. The coupling coordination degree of PPE systems varied from 0.429 to 0.921, with a mean of 0.651. Shanghai, Nantong, and Suzhou had the highest level of coordination. The coordination between subsystems of PPE in most pilot cities (12 of 14 cities) was at a basic or low level. The findings from this study concluded that the coordination within the PPE system should be improved to develop a sustainable LTCI system. To improve the coordination of the PPE system, it is suggested that the country should maintain sustainable economic growth and modify LTCI policies based on demographic transitions and economic development.

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Published In

International journal of environmental research and public health

DOI

EISSN

1660-4601

ISSN

1661-7827

Publication Date

May 2022

Volume

19

Issue

11

Start / End Page

6554

Related Subject Headings

  • Toxicology
  • Policy
  • Long-Term Care
  • Insurance, Long-Term Care
  • Humans
  • Cities
  • China
  • Aging
 

Citation

APA
Chicago
ICMJE
MLA
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Peng, R., Deng, X., Xia, Y., & Wu, B. (2022). Assessing the Sustainability of Long-Term Care Insurance Systems Based on a Policy-Population-Economy Complex System: The Case Study of China. International Journal of Environmental Research and Public Health, 19(11), 6554. https://doi.org/10.3390/ijerph19116554
Peng, Rong, Xueqin Deng, Yinghua Xia, and Bei Wu. “Assessing the Sustainability of Long-Term Care Insurance Systems Based on a Policy-Population-Economy Complex System: The Case Study of China.International Journal of Environmental Research and Public Health 19, no. 11 (May 2022): 6554. https://doi.org/10.3390/ijerph19116554.
Peng R, Deng X, Xia Y, Wu B. Assessing the Sustainability of Long-Term Care Insurance Systems Based on a Policy-Population-Economy Complex System: The Case Study of China. International journal of environmental research and public health. 2022 May;19(11):6554.
Peng, Rong, et al. “Assessing the Sustainability of Long-Term Care Insurance Systems Based on a Policy-Population-Economy Complex System: The Case Study of China.International Journal of Environmental Research and Public Health, vol. 19, no. 11, May 2022, p. 6554. Epmc, doi:10.3390/ijerph19116554.
Peng R, Deng X, Xia Y, Wu B. Assessing the Sustainability of Long-Term Care Insurance Systems Based on a Policy-Population-Economy Complex System: The Case Study of China. International journal of environmental research and public health. 2022 May;19(11):6554.

Published In

International journal of environmental research and public health

DOI

EISSN

1660-4601

ISSN

1661-7827

Publication Date

May 2022

Volume

19

Issue

11

Start / End Page

6554

Related Subject Headings

  • Toxicology
  • Policy
  • Long-Term Care
  • Insurance, Long-Term Care
  • Humans
  • Cities
  • China
  • Aging