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The Influencing Factors of Participation in Online Timebank Nursing for Community Elderly in Beijing, China

Bibliographic Data

ID22085552
AuthorsYan Wu (0000-0002-0290-4084, Beijing Technology and Business University), Yanran Ding (0000-0003-4959-1174, Beijing Technology and Business University), Cong Hu (0000-0003-1846-2812, Beijing Normal University, corresponding author), Lei Wang (0000-0001-5326-565X, Beijing Technology and Business University)
Year2021
Volume9
Pages650018-650018
Publication date2021-04-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2021.650018
PMID33898381
OpenAlexW3154562262
LanguageEN
Citations received4
References cited17

This study uses the logit model through questionnaire data of Beijing in 2019 to investigate the participation willingness of online timebank elderly care, especially to discover different influencing factors on the participation willingness between the youth group and the elderly group. We find that: First, the health status of elderly people and the number of elder families of young people have significant positive impacts on their willingness to participate in online timebank. Second, the experience of participating in voluntary activities has a significant positive effect and it has a far greater impact in the young group than that in the elderly group. Third, the more the free time, the higher the participation willingness in the young group, but it is the opposite in the elderly group. Fourth, the years of education and party member have significant promoting effects on the participation willingness in both groups. Such heterogeneous influencing factors can help develop online timebank nursing for dealing with the increasingly serious population aging problem in China and also other developing countries

Beijing · China · Community participation · Environmental health · Logistic regression · Ordered logit · Political science · Population · Socioeconomics · Sociology · Health disparities and outcomes · Intergenerational Family Dynamics and Caregiving · Medicine · Psychology · Sharing Economy and Platforms · Gerontology

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    Open Access•Qingwen Jia, Yanhan Duan et al.•BMC Public Health•2023

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    Open Access•Huifang Jiao, Meiyan Lin et al.•Frontiers in Public Health•2024

  • The influencing factors of participation in time banking volunteer service for older adults among university students in Nanjing, China

    Open Access•Yue Wu, Siyu Liu et al.•Frontiers in Public Health•2024

  • Scope and challenges in the implementation of Time Bank in India

    Open Access•Ankita Verma, Sruthi Sridhar et al.•Discover Global Society•2024

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  • Withdrawn

    Open Access•Bibhu Dash, Namrata Sandhu•Development Policy Review•2023

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    Daniel Grainger•Medicine Conflict & Survival•2008

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    Open Access•Matti Eräsaari•Social Analysis•2020

  • TimeBanking

    Melanie Nind, Alan Armstrong et al.•International Journal of Social…•2016

  • Timebanking and the co‐production of preventive social care with adults; what can we learn from the challenges of implementing person‐to‐person timebanks in England

    Open Access•Ruth Naughton-Doe, Ailsa Cameron et al.•Health & Social Care in the…•2020

  • Timebanking in New Zealand as a prefigurative strategy within a wider degrowth movement

    Open Access•Emma Mcguirk•Journal of Political Ecology•2017

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    Open Access•Gill Seyfang•International Journal of Urban…•2003

Unique citing works4
Citations per year1,33
Citation span2023 - 2024 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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