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Demand for Long-Term Care Insurance in China

Dados Bibliográficos

ID15465819
AutoresQun Wang (0000-0002-8056-2817, Dalian University of Technology), Yi Zhou (0000-0001-6130-687X, Fudan University), Xinrui Ding (0000-0002-6630-3675, Dalian University of Technology), Xu Ying (0000-0003-1967-6505, Fudan University, autor correspondente), Xiaohua Ying (Fudan University)
Ano2017
Volume15
Fascículo1
Páginas6-6
Data de publicação2017-12-22
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15010006
PMID29271906
OpenAlexW2776963407
IdiomaEN
Citações recebidas22
Referências citadas29

The aim of this study was to estimate willingness to pay (WTP) for long-term care insurance (LTCI) and to explore the determinants of demand for LTCI in China. We collected data from a household survey conducted in Qinghai and Zhejiang on a sample of 1842 households. We relied on contingent valuation methods to elicit the demand for LTCI and random effects logistic regression to analyze the factors associated with the demand for LTCI. Complementarily, we used document analysis to compare the LTCI designed in this study and the current LTCI policies in the pilot cities. More than 90% of the respondents expressed their willingness to buy LTCI. The median WTP for LTCI was estimated at 370.14 RMB/year, accounting for 2.29% of average annual per capita disposable income. Price, age, education status, and income were significantly associated with demand for LTCI. Most pilot cities were found to mainly rely on Urban Employees Basic Medical Insurance funds as the financing source for LTCI. Considering that financing is one of the greatest challenges in the development of China's LTCI, we suggest that policy makers consider individual contribution as an important and possible option as a source of financing for LTCI

Actuarial science · Business · China · Environmental health · Geography · Long-term care · Long-term care insurance · Term (time · Employment and Welfare Studies · Global Health Care Issues · Intergenerational Family Dynamics and Caregiving · Medicine · Nursing

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Obras citantes distintas22
Citações por ano3,14
Intervalo de citações2019 - 2026 (8)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 22
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