Forecasting the Use of Institutional Elder Care in China: A System Dynamic Simulation

Rong Peng, Cathy Gong

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    With the rapid population aging in China, the older adults who needs for long-term care (LTC) increased dramatically in the past decades. To forecasting the use of institutional elder care in China, this study constructed a system dynamic model for LTC use to capture the decision-making process of living arrangement and institutional care use among the aging population in China. The results showed that the number of older adults living at institutions will increase from 200 million in 2015 to 290 million in 2035, which account for an increase of 45%. This study provides policy implications that would assist policy makers understand the LTC delivery process and its influence factors, and help implement effective LTC policy scenarios.
    Original languageEnglish
    Title of host publicationProceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018)
    EditorsLuévanos Rojas, A., Ilewicz, G., Jakóbczak, D.J., Weller, K.
    Place of PublicationNetherlands
    PublisherAtlantis Press
    Pages78-81
    EditionPeer Reviewed
    ISBN (Print)978-94-6252-566-5
    DOIs
    Publication statusPublished - 2018
    Event3rd International Conference on Modelling, Simulation and Applied Mathematics, 2018 (MSAM) - Shanghai, China
    Duration: 1 Jan 2018 → …

    Publication series

    Name
    Number0
    Volume160

    Conference

    Conference3rd International Conference on Modelling, Simulation and Applied Mathematics, 2018 (MSAM)
    Country/TerritoryChina
    Period1/01/18 → …
    OtherJuly 22-23 2018

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