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基于CiteSpace的国内“时间银行”养老模式研究可视化分析

Visual Analysis of Domestic“Time Bank”Pension Model Research Based on CiteSpace
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摘要 目的:采用CiteSpace软件分析国内“时间银行”养老模式的研究现状和前沿趋势。方法:以中国知网(CNKI)数据库为检索源,检索2002年1月1日—2022年11月30日有关“时间银行”的中文文献,运用CiteSpace 6.1.R4软件对发文量、作者、机构、关键词进行可视化分析。结果:共纳入638篇文献,该领域的年发文量呈持续上升趋势,其中发文量最多的年份是2021年(112篇),发文量最多的作者是陈功(11篇),发文量最多的机构是北京大学人口研究所(11篇)。关键词共现显示,排名前3的高频关键词分别是“时间银行”(269次)、互助养老(151次)、志愿服务(52次);关键词聚类显示,排名前3的聚类团分别是“时间银行”、养老模式、互助养老;关键词突现显示,区块链、社会治理、通存通兑、代际互助是“时间银行”领域的研究前沿。结论:“时间银行”养老模式研究数量整体呈上升趋势,今后亟需加强跨机构、跨学科、跨区域的多元化协作交流,可积极运用互联网、区块链等新兴技术,更好地发挥“时间银行”养老模式优势。 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.
作者 张仙娟 李茂 宋立鹏 张梦雯 赵桂凤 Zhang Xianjuan;Li Mao;Song Lipeng;Zhang Mengwen;Zhao Guifeng(School of Nursing,Dali University,Dali,Yunnan,671000,China)
出处 《中国初级卫生保健》 2024年第3期5-8,共4页 Chinese Primary Health Care
基金 云南省教育厅科学研究基金项目(2020J0564)。
关键词 CITESPACE “时间银行” 研究热点 可视化分析 CiteSpace “time bank” research hotspots visual analytics
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