Dynamic Calculation and Feasibility Study of Long-Term Care Insurance Financing Mechanism——Taking N City as an Example

China Health Insurance ›› 2025, Vol. 0 ›› Issue (9) : 38-48.

China Health Insurance ›› 2025, Vol. 0 ›› Issue (9) : 38-48. DOI: 10.19546/j.issn.1674-3830.2025.9.005
Observation & Discussion

Dynamic Calculation and Feasibility Study of Long-Term Care Insurance Financing Mechanism——Taking N City as an Example

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Abstract

Objective: The paper takes N City as an example to explore a stable, reasonable and sustainable financing mechanism of long-term care insurance, providing useful reference for exploring the "model of long-term care". Methods: Based on the data of China's Seventh National Population Census and the population cohort element model, the health status transition probability matrix results of people aged 60 and over were calculated to obtain the future disability population in N City. At the same time, the actuarial balance model of long-term care insurance was constructed to predict the future operation of the fund, and a variety of schemes were designed to calculate the sustainability and financial burden of the fund. Results: If the status quo is maintained, the cumulative fund balance in 2050 can reach 11.066 billion yuan. Moderately disabled individuals can be gradually included in the coverage, and a stable average level of guarantee in the initial stage is preferable. Under different schemes, the proportion of fiscal burden in general public budget expenditure is between 0.18% and 0.32%, and the burden is relatively reasonable and controllable. Suggestions: We should improve the design of benefit guarantee mechanism, improve the quality of long-term care services, and actively explore the connection between social security and commercial insurance in the field of long-term care.

Key words

long-term care insurance / health state transition probability matrix / sustainability / government financial burden

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Dynamic Calculation and Feasibility Study of Long-Term Care Insurance Financing Mechanism——Taking N City as an Example[J]. China Health Insurance. 2025, 0(9): 38-48 https://doi.org/10.19546/j.issn.1674-3830.2025.9.005

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