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An exploration on the flow of leading research talents in China: from the perspective of distinguished young scholars

Author

Listed:
  • Ming-liang Yue

    (Chinese Academy of Sciences)

  • Rui-nan Li

    (Wuhan University)

  • Gui-yan Ou

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Xia Wu

    (Wuhan University)

  • Ting-can Ma

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Understanding the flow characteristics of talents is a task of great significance for talents cultivating, talent structure optimizing, talent policy making, etc. In this paper, we investigate the flow of leading research talents in China based on the academic career data of Distinguished Young Scholars sponsored by the National Natural Science Foundation of China. We explore the flow characteristics from perspectives of time, region, and institution type. We find (1) over 40% of the Distinguished Young Scholars have flow experiences and (a) the flow rate reaches the highest in 5–10 years of the scholars’ academic career or in 1–5 years before receiving the Distinguished Young Scholars Fund, (b) as the working year grows, scholars are more inclined to take on part-time responsibilities (as, e.g., visiting professors); (2) the flow of Distinguished Young Scholars mainly occurs in the provinces with the most sufficient science and education resources, while the inflow and outflow provinces are becoming more balanced in the recent years; (3) the flow of talents within colleges and universities is more frequent than research institutes, while research institutes are facing a severe problem of brain drain. We designed questionnaires for the Distinguished Young Scholars in hope of finding potential causes of their flows. We find that (4) the most influential factors (to talent flow) are personal research ability improvement, career development and work environment, followed by the (inflow) institution’s reputation, compensation and benefits, and the (inflow) province’s Science and Technology Policies environment.

Suggested Citation

  • Ming-liang Yue & Rui-nan Li & Gui-yan Ou & Xia Wu & Ting-can Ma, 2020. "An exploration on the flow of leading research talents in China: from the perspective of distinguished young scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1559-1574, November.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:2:d:10.1007_s11192-020-03562-x
    DOI: 10.1007/s11192-020-03562-x
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    References listed on IDEAS

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    1. George J. Borjas & Kirk B. Doran & Ying Shen, 2018. "Ethnic Complementarities after the Opening of China: How Chinese Graduate Students Affected the Productivity of Their Advisors," Journal of Human Resources, University of Wisconsin Press, vol. 53(1), pages 1-31.
    2. Yunhao Dai & Dongmin Kong & Shasha Liu, 2018. "Returnee Talent and Corporate Investment: Evidence from China," European Accounting Review, Taylor & Francis Journals, vol. 27(2), pages 313-337, March.
    3. Fenfen Wei & Nanping Feng & Kevin H. Zhang, 2017. "Innovation Capability and Innovation Talents: Evidence from China Based on a Quantile Regression Approach," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
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    2. Yitong Chen & Keye Wu & Yue Li & Jianjun Sun, 2023. "Impacts of inter-institutional mobility on scientific performance from research capital and social capital perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3473-3506, June.
    3. Xie, Qing & Zhang, Xinyuan & Kim, Giyeong & Song, Min, 2022. "Exploring the influence of coauthorship with top scientists on researchers’ affiliation, research topic, productivity, and impact," Journal of Informetrics, Elsevier, vol. 16(3).
    4. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    5. Song Jing & Pengxin Xie & Qun Yin & Qingzhao Ma & Celestine Chinedu Ogbu & Xia Guo & Daniel M. J. J. Stanley & Leuta Philatelic Tutaia, 2023. "The effect of academic mobility on research performance: the case of China," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5829-5850, October.
    6. Lu Liu & Shenshen Si & Jing Li, 2023. "Research on the Effect of Regional Talent Allocation on High-Quality Economic Development—Based on the Perspective of Innovation-Driven Growth," Sustainability, MDPI, vol. 15(7), pages 1-21, April.
    7. Runyuan Wang & Weiguang Cai & Hong Ren & Xianrui Ma, 2023. "Heterogeneous Effects of the Talent Competition on Urban Innovation in China: Evidence from Prefecture-Level Cities," Land, MDPI, vol. 12(3), pages 1-15, March.

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