Skip to main content
Innovation in Aging logoLink to Innovation in Aging
. 2019 Nov 8;3(Suppl 1):S244. doi: 10.1093/geroni/igz038.915

THE FORECASTING OF POPULATION SUPER-AGING AND POLICY SIMULATION OF LONG-TERM CARE IN CHINA (2019-2070)

Chen Chen 1
PMCID: PMC6844985

Abstract

The purpose of this paper is to provide a policy simulation of Long-Term Care based on the aging population forecast for China, focusing on the super-aging and oldest-old segments of the population. As a developing country, it is a challenge for China to increase its wealth with the financial implications of an aging nation. The study identified two significant turning points for population development: 1) The multi-pilot program of long-term care policy reform must be executed between 2016 – 2020. This reform is time dependent because the multi-state longevity development period is from 2016 to 2030 and in the year 2030, the oldest-old population will be part of China’s society. 2) The year 2060 will be representative of a stable period in China, as the age of China’s population will no longer be accelerating.


Articles from Innovation in Aging are provided here courtesy of Oxford University Press

RESOURCES