IDEAS home Printed from https://ideas.repec.org/p/qss/dqsswp/2102.html

The research productivity of Chinese academic returnees from the Global West: An evaluation of Young 1000 Talents recipients’ productivity

Author

Listed:
  • Giulio Marini

    (Quantitative Social Science, Social Research Institute, UCL, London, UK)

  • Lili Yang

    (University of Oxford, Department of Education, Centre for Global Higher Education, 15 Norham Gardens, OX2 6PY, Oxford, UK)

Abstract

This paper compares the research productivity between two groups of Chinese early- and mid-career researchers, who both got their PhDs in research leading institutions outside Mainland China. One group was recruited back to mainland China under a specific scheme, called “Young Thousand Talents” (“Y1000T”) – a clear attempt by the Chinese Government to tackle brain drain and to nurture Chinese universities. These researchers got their PhD predominantly, though not exclusively, from US institutions. Many other Chinese researchers of similar age, disciplines and prestige of PhD awarding institutions continue to work outside China at research-intensive universities. We collected a sample of this latter category of Chinese diasporas, searching from US research intensive universities. We use this distinction to set up a quasi-experimental research design in order to answer whether or not scheme recipients returnees (“Y1000T”) have been more productive in research, in comparison to those who remained outside China. The comparison primarily considers the number of publications. Results show that after coming back to China, Y1000T returnees have significantly increased their productivity in terms of the number of outputs, arguably because of their favourable research conditions.

Suggested Citation

  • Giulio Marini & Lili Yang, 2021. "The research productivity of Chinese academic returnees from the Global West: An evaluation of Young 1000 Talents recipients’ productivity," DoQSS Working Papers 21-02, Quantitative Social Science - UCL Social Research Institute, University College London.
  • Handle: RePEc:qss:dqsswp:2102
    as

    Download full text from publisher

    File URL: https://repec.ucl.ac.uk/REPEc/pdf/qsswp2102.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    2. Jin Liu & Zhaohui Yin & Wenjing Lyu & Songyue Lin, 2019. "Does Money Accelerate Faculty Mobility? Survey Findings from 11 Research Universities in China," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    3. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2014. "How do you define and measure research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1129-1144, November.
    4. Breschi, Stefano & Lawson, Cornelia & Lissoni, Francesco & Morrison, Andrea & Salter, Ammon, 2020. "STEM migration, research, and innovation," Research Policy, Elsevier, vol. 49(9).
    5. Liang Zhang & Wei Bao & Liang Sun, 2016. "Resources and Research Production in Higher Education: A Longitudinal Analysis of Chinese Universities, 2000–2010," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(7), pages 869-891, November.
    6. Li, Feng & Miao, Yajun & Yang, Chenchen, 2015. "How do alumni faculty behave in research collaboration? An analysis of Chang Jiang Scholars in China," Research Policy, Elsevier, vol. 44(2), pages 438-450.
    7. Zhao, Zhenyue & Bu, Yi & Kang, Lele & Min, Chao & Bian, Yiyang & Tang, Li & Li, Jiang, 2020. "An investigation of the relationship between scientists’ mobility to/from China and their research performance," Journal of Informetrics, Elsevier, vol. 14(2).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chang, Ying-Han & Huang, Mu-Hsuan, 2023. "Analysis of factors affecting scientific migration move and distance by academic age, migrant type, and country: Migrant researchers in the field of business and management," Journal of Informetrics, Elsevier, vol. 17(1).
    2. Claudiu Vasile Kifor & Daniel Teodorescu & Tudorel Andrei & Roxana Săvescu, 2021. "Research Production and International Visibility in Higher Education: The Evolution of Romanian Universities from 2011 to 2019," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    3. Hanwei Li & Xin Xing & Bing Zuo, 2024. "Returnee Scholars’ Academic Reintegration into Chinese Regional Universities: the Role of Transnational Capital," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15304-15327, September.
    4. Zheng Xie, 2021. "A distributed hypergraph model for simulating the evolution of large coauthorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4609-4638, June.
    5. Claudiu Vasile Kifor & Ana Maria Benedek & Ioan Sîrbu & Roxana Florența Săvescu, 2023. "Institutional drivers of research productivity: a canonical multivariate analysis of Romanian public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2233-2258, April.
    6. Zhang, Chao & Guan, Jiancheng, 2021. "Returnee policies in China: Does a strategy of alleviating the financing difficulty of returnee firms promote innovation?," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    7. Xie, Zheng, 2020. "Predicting the number of coauthors for researchers: A learning model," Journal of Informetrics, Elsevier, vol. 14(2).
    8. Celis, Sergio & Kim, Jeongeun, 2018. "The making of homophilic networks in international research collaborations: A global perspective from Chilean and Korean engineering," Research Policy, Elsevier, vol. 47(3), pages 573-582.
    9. Zhao, Zhenyue & Bu, Yi & Kang, Lele & Min, Chao & Bian, Yiyang & Tang, Li & Li, Jiang, 2020. "An investigation of the relationship between scientists’ mobility to/from China and their research performance," Journal of Informetrics, Elsevier, vol. 14(2).
    10. Giulio Marini & Viviana Meschitti, 2025. "Shielding the few and perpetrating the pattern for the many: interaction of gender discrimination and status in predicting promotion," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    11. Jan Fagerberg & Bengt-Åke Lundvall & Martin Srholec, 2018. "Global Value Chains, National Innovation Systems and Economic Development," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(3), pages 533-556, July.
    12. Tung Manh Ho & Ha Viet Nguyen & Thu Trang Vuong & Hiep-Hung Pham & Nancy K. Napier & Quan-Hoang Vuong, 2017. "Effects of work environments and collaborations on productivity in Vietnamese social sciences: evidence from 2008-2017 Scopus data," Working Papers CEB 17-018, ULB -- Universite Libre de Bruxelles.
    13. Leonardo Reyes-Gonzalez & Claudia N. Gonzalez-Brambila & Francisco Veloso, 2016. "Using co-authorship and citation analysis to identify research groups: a new way to assess performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1171-1191, September.
    14. Holger Graf, 2013. "Inventor Networks in Emerging Key Technologies: Information Technology vs. Semiconductors," Economic Complexity and Evolution, in: Guido Buenstorf & Uwe Cantner & Horst Hanusch & Michael Hutter & Hans-Walter Lorenz & Fritz Rahmeyer (ed.), The Two Sides of Innovation, edition 127, pages 55-76, Springer.
    15. Saima Javed & Yu Rong & Hafiz Muhammad Ihsan Zafeer & Samra Maqbool & Babar Nawaz Abbasi, 2024. "Unleashing the potential: a quest to understand and examine the factors enriching research and innovation productivities of South Asian universities," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    16. Albert Banal-Estañol & Inés Macho-Stadler & David Pérez-Castrillo, 2013. "Endogeneous matching in university-industry collaboration: Theory and empirical evidence from the UK," Economics Working Papers 1379, Department of Economics and Business, Universitat Pompeu Fabra.
    17. van Aswegen, Mariske & Retief, Francois Pieter, 2020. "The role of innovation and knowledge networks as a policy mechanism towards more resilient peripheral regions," Land Use Policy, Elsevier, vol. 90(C).
    18. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2021. "A bibliometric methodology to unveil territorial inequities in the scientific wealth to combat COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6601-6624, August.
    19. Carillo, Maria Rosaria & Papagni, Erasmo & Sapio, Alessandro, 2013. "Do collaborations enhance the high-quality output of scientific institutions? Evidence from the Italian Research Assessment Exercise," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 25-36.
    20. Jarno Hoekman & Koen Frenken, 2013. "Proximity and Stratification in European Scientific Research Collaboration Networks: A Policy Perspective," Advances in Spatial Science, in: Thomas Scherngell (ed.), The Geography of Networks and R&D Collaborations, edition 127, chapter 0, pages 263-277, Springer.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:qss:dqsswp:2102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr Neus Bover Fonts (email available below). General contact details of provider: https://edirc.repec.org/data/dqioeuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.