Visual Analysis of Domestic"Time Bank"Pension Model Research Based on CiteSpace
Zhang Xianjuan
Li Mao
Song Lipeng
Zhang Mengwen
Zhao Guifeng
Abstract：OBJECTIVE To use bibliometric methods to sort out the research status and frontier trend of time bank pension mod-el in China.METHODS CNKI database was used as the data source to retrieve the Chinese literature related to time bank from Janu-ary 1,2002 to November 30,2022,and used CiteSpace 6.1 R4 software to visually analyze the number of publications,authors,institu-tions and keywords.RESULTS A total of 638 articles were included,and the annual number of publications in this field showed a con-tinuous upward trend,among which the most published year was 2021(112 articles),the author with the largest number of publica-tions was Chen Gong(11 articles),and the institution with the largest number of publications was the Institute of Population Re-search of Peking University(11 articles).The top three high-frequency keywords were time bank(269 times),mutual assistance for the elderly(151 times),and volunteer service(52 times).The keyword clustering showed that the top three clustering groups were time bank,pension mode,and mutual aid for the elderly.The emergence of keywords showed that blockchain,social governance,de-posit and exchange,and intergenerational mutual assistance were the research frontiers in the field of time banking.CONCLUSION The overall research on the pension model of time bank shows an upward trend,and it is urgent to strengthen diversified collabora-tion and communication across institutions,disciplines and regions in the future,and actively use emerging technologies such as the Internet and blockchain to better play the advantages of the time bank pension model.
Keywords：CiteSpace"time bank"research hotspotsvisual analytics
Publication Date：2024-03-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 5-8 )