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Factors influencing Chinese long-term care

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  • Hong Mi
  • Zhenzhen Yang
  • Tiantian Zhang

Abstract

Using the life table and the disability life table, we discuss the relationship between the incidence of disability and the age of the elderly in Jiashan county. It is found that the relationship between age and the incidence of disability can be better illustrated by a sequation rather than by a simple linear equation. Life expectancy, disability-free life expectancy and life-with-disability expectancy all decline with age among the elderly aged ≥60 years while the elderly aged ≥80 years require a relatively long periods of care. Furthermore, the number of the disabled elderly will reach the maximum in 2037, with the majority of people with the age 75 years and older. These data reveal the key population characteristic of the elderly in need of long-term care. It is the information that we should take into account to establish long-term care insurance, along with the lessons from international experience.

Suggested Citation

  • Hong Mi & Zhenzhen Yang & Tiantian Zhang, 2012. "Factors influencing Chinese long-term care," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 8(1/2/3), pages 31-42.
    • Handle: RePEc:ids:ijpubp:v:8:y:2012:i:1/2/3:p:31-42
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    References listed on IDEAS

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    1. Karlsson, Martin & Mayhew, Les & Plumb, Robert & Rickayzen, Ben, 2006. "Future costs for long-term care: Cost projections for long-term care for older people in the United Kingdom," Health Policy, Elsevier, vol. 75(2), pages 187-213, January.
    2. Karlsson, Martin & Mayhew, Les & Rickayzen, Ben, 2007. "Long term care financing in four OECD countries: Fiscal burden and distributive effects," Health Policy, Elsevier, vol. 80(1), pages 107-134, January.
    3. Karlsson, Martin & Mayhew, Les & Rickayzen, Ben, 2007. "Long term care financing in 4 OECD countries: fiscal burden and distributive effects," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 34405, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

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    2. Conglin Zhang & Leihua Dong & Yu Liu & Haijuan Qiao, 2016. "Analysis on Impact Factors of Water Utilization Structure in Tianjin, China," Sustainability, MDPI, vol. 8(3), pages 1-11, March.
    3. Feng Wei & Jiawei Lu & Yu Kong, 2017. "Research on Sustainability Financial Performance of Chinese Listed Companies," Sustainability, MDPI, vol. 9(5), pages 1-17, April.

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