The distribution characteristics of inter-provincial mobility of high level researchers in China
JIN Junbao1,2, QU Jiansheng1, WU Xinnian1, ZHENG Yurong1, BAI Guangzu1
1. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：The flow of high-level scientific and technological talents is a topic thathas attracted much attention. The paper analyzes the distribution characteristics and patterns of the inter-provincial mobility in the 2014-2019 ESI of high level researchers in China. It is shown that the distribution of high level scientists in China is significantly unbalanced, mainly concentrated in the areas with developed economic and science-education resources such as Beijing, Jiangsu, and Shanghai; the net inflow of high level scientists is mainly concentrated in Guangdong, Jiangsu and Sichuan provinces, the net outflow is mainly concentrated in the regions such as Jilin Province, Anhui Province and Liaoning Province; the net inflow institutions include mainly the University of Electronic Science and Technology of China, Soochow University and Fudan University, and the net outflow institutions include Chinese Academy of Sciences and Peking University. However, due to the large number of high level scientists in the CAS, the outflow proportion of the CAS is not significant. In the end, the results of this paper will help managers formulate the talent policies, improve the talent system, properly allocate scientific research resources, and utilize the global elite scientific and technological talent resources.
靳军宝, 曲建升, 吴新年, 郑玉荣, 白光祖. 中国高层次科技人才省际流动的特征[J]. 科技导报, 2021, 39(10): 116-123.
JIN Junbao, QU Jiansheng, WU Xinnian, ZHENG Yurong, BAI Guangzu. The distribution characteristics of inter-provincial mobility of high level researchers in China. Science & Technology Review, 2021, 39(10): 116-123.
[1] Czaika M, Haas H. The globalization of migration:Has the world become more migratory?[J]. International Migration Review, 2014, 48(2):283-323.
[2] 刘云, 杨芳娟. 全球科学精英覆盖地图及动态特征——基于SCI论文的计量分析[J]. 科学学与科学技术管理, 2016, 37(10):27-37.
[3] 徐飞, 汪士. 杰出科学家行政任职对科研创新的影响——以诺贝尔奖获得者与中国科学院院士比较为例[J]. 科学学研究, 2010, 28(7):981-985.
[4] Altbach PG. Globalisation and the university:Myths and realities in an unequal world[J]. Tertiary Education and Management, 2004, 10(1):3-25.
[5] Czaika M, Toma S. International academic mobility across space and time:The case of Indian academics[J]. Population Space and Place, 2017, 23(8):2069-2088.
[6] Czaika M, Haas H. The effect of visas on migration processes[J]. International Migration Review, 51(4):893-926.
[7] 朱庆华. 专题研究:国际科技人才成长和流动规律[J]. 现代情报, 2014:3.
[8] Dyachenko E L. Internal migration of scientists in Russia and the USA:The case of physicists[J]. Scientometrics, 2016, 98(18):1-18.
[9] Lewison G, Kundra R. The internal migration of Indian scientists, 1981-2003, from an analysis of surnames[J]. Scientometrics, 2008, 75(1):21-35.
[10] 邓侨侨. 高被引科学家职业迁移与集聚现象研究[D]. 上海:上海交通大学博士学位论文, 2014.
[11] 邓侨侨. 高被引科学家国别迁移过程中的集聚分析[J]. 高教探索, 2014, 5:17-20.
[12] 刘俊婉. 高被引科学家人才流动的计量分析[J]. 科学学研究, 2011, 29(2):191-180.
[13] 田瑞强, 姚长青, 潘云涛. 基于履历数据的海外华人高层次科技人才流动研究:社会网络分析视角[J]. 图书情报工作, 2014, 58(19):92-99.
[14] 孙玉涛, 国容毓. 世界科学活动中心转移与科学家跨国迁移——以诺贝尔物理学奖获得者为例[J]. 科学学研究, 2018, 36:1161-1169.
[15] 史冬波, 张子江. 人才计划与科学家职业流动:以长江学者为例[J]. 图书情报知识, 2020, 2(194):42-50.
[16] 高阵雨, 陈钟, 王长锐. 我国高层次科技人才流动情况探析:以国家杰出青年科学基金获资助者为例[J]. 中国科学基金, 2019, 4:363-366.
[17] 刘欣, 高策. 华人杰出物理科学家群体特征的计量分析[J]. 自然辩证法研究, 2018, 34(2):103-107.
2021, Vol. 39 
