文章摘要
杨波,王天歌,李子璇.中国科研人员国际流动影响因素研究[J].情报工程,2022,8(4):050-062
中国科研人员国际流动影响因素研究
Research on the Factors Influencing the International Mobility of Chinese Researchers
  
DOI:10.3772/j.issn.2095-915X.2022.04.005
中文关键词: 人才国际流动;流动影响因素;科研履历;开放科研人员与贡献者身份识别码(ORCID)
英文关键词: Transnational mobility; mobility influencing factors; scientific research profiles; open researcher and contributor ID (ORCID)
基金项目:
作者单位
杨波 南京农业大学信息管理学院 南京 210095 
王天歌 南京农业大学信息管理学院 南京 210095 
李子璇 南京农业大学信息管理学院 南京 210095 
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中文摘要:
      [ 目的 / 意义 ] 科研人才是国家发展的核心要素,随着经济全球化的不断深入,国际人才竞争日益激烈,中国也面临着严峻的科研人才流失问题。本研究旨在深入探索中国科研人员国际流动的影响因素,为我国构建合理的人才流动机制提供参考意见。[ 方法 / 过程 ] 本研究将 ORCID 数据集、Web of Science 文献数据等多个科研平台的作者信息和机构名称相关联,采用机器学习和数据挖掘的方法对中国科研人员学术履历进行了补齐和重构,之后从中国科研人员整体流动特征出发,探讨了中国科研人员的国际流动概况,并在此基础上运用 Logistic 二元回归模型对科研人员跨国流动的影响因素进行实证分析。[ 结果 / 结论 ] 流入国的科研水平、科研人员的科研产出以及科研人员的职业状态是影响人才跨国流动的主要因素。
英文摘要:
      [Objective/Significance] Research talents are the core element of national development. With the continuous economic globalisation and the increasingly fierce international competition for talents, China is also facing a severe problem of research talents drain. This study aims to investigate the factors influencing the international mobility of Chinese researchers and provide references for constructing a reasonable talent mobility mechanism in China. [Methods/Processes] This study associated author information and institution from multiple research platforms such as the ORCID and Web of Science and employs machine learning and data mining methods to complement and reconstruct the academic profiles of Chinese researchers. Then the current international mobility situation of Chinese researchers is explored from the overall mobility characteristics of Chinese researchers. Based on this, the Logistic binary regression models were used to analyse the factors influencing the transnational mobility of scientific researchers. [Results/Conclusions] The level of scientific research in the target countries, the researchers' scientific research capability, and the researchers' career status are the main factors influencing the transnational mobility of talents.
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