Author(s)

Tengyue Wei ¹, Siyu Ren ¹, Yuzhen Gao ¹, Han Zhang ¹, Yunyun Zhang ¹

Affiliation(s)

¹ School of Statistics and Data Science, Xi'an University of Finance and Economics, Xi'an, China

Corresponding Author

Yunyun Zhang

ABSTRACT

Shaanxi Province faces severe population aging and a large disabled elderly population, while traditional family care is weakening and social service supply remains insufficient. Using the CHARLS 2023 Shaanxi sub-sample (N=1,850) linked with medical-insurance settlement data and semi-structured interviews, this study applies hierarchical linear modeling, structural equation modeling, actuarial projection, and grounded-theory coding to estimate the willingness to pay (WTP) for long-term care insurance (LTCI) and its determinants. Results show that WTP is significantly influenced by price, disability level, chronic-disease count, income, and government health expenditure. Under the Hanzhong, Chongqing, and Chengdu financing schemes, contribution rates between 0.4 % and 0.7 % can simultaneously secure fund sustainability and generate mental-health benefits. Interviews reveal that "institutional trust, care dignity, and economic security" are key drivers of WTP. The findings provide micro-level evidence for optimizing Shaanxi's LTCI system.
 

KEYWORDS

Long-Term Care Insurance; Willingness to Pay; Shaanxi Province; Elderly; Influencing Factors

CITE THIS PAPER

Tengyue Wei, Siyu Ren, Yuzhen Gao, Han Zhang, Yunyun Zhang, A Study on Estimating the Willingness to Pay for Long-Term Care Insurance among the Elderly in Shaanxi Province. Journal of Sociology and Ethnology (2025) Vol. 7: 65-70. DOI: http://dx.doi.org/10.23977/jsoce.2025.070408.

REFERENCES

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