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An analysis of global research funding from subject field and funding agencies perspectives in the G9 countries

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  • Mu-Hsuan Huang

    (National Taiwan University)

  • Mei-Jhen Huang

    (National Taiwan University)

Abstract

This study analyzed journal articles published by authors from the G9 countries (Canada, China, France, Germany, Italy, Japan, Russia, the United Kingdom, and the United States) to identify the distribution of research funding and funding agencies in these countries. A total of 5,856,744 articles published between 2009 and 2014 were collected from the Web of Science database. The results showed that China had the highest proportion of funded papers among its overall scientific output, while Italy had the lowest funded paper ratio. The leading sponsoring countries of papers by other countries were China and the United States, with China having a sponsorship surplus with all the other G9 countries, and the United States having a sponsorship surplus with seven other countries excepting China. Furthermore, governmental agencies were the major sponsors of funded papers in the G9 countries. The field of life sciences had the highest proportion of funded papers among the field’s total paper output; while natural sciences had the highest proportion of papers among all funded papers of a country. Regarding funding agencies, the top three funding agencies in each G9 country were primarily domestic agencies; and a large proportion of the funding provided by these agencies were granted to domestic research projects.

Suggested Citation

  • Mu-Hsuan Huang & Mei-Jhen Huang, 2018. "An analysis of global research funding from subject field and funding agencies perspectives in the G9 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 833-847, May.
  • Handle: RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2677-y
    DOI: 10.1007/s11192-018-2677-y
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    References listed on IDEAS

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    Cited by:

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    3. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
    4. Manoj Kumar Verma & Daud Khan & Mayank Yuvaraj, 2023. "Scientometric assessment of funded scientometrics and bibliometrics research (2011–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4305-4320, August.
    5. Balázs Győrffy & Andrea Magda Nagy & Péter Herman & Ádám Török, 2018. "Factors influencing the scientific performance of Momentum grant holders: an evaluation of the first 117 research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 409-426, October.
    6. Jinyang Dong & Jiamou Liu & Tiezhong Liu, 2021. "The impact of top scientists on the community development of basic research directed by government funding: evidence from program 973 in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8561-8579, October.
    7. Fernanda Morillo, 2019. "Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 807-823, August.

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    Keywords

    Research funding; Funding agency; Bibliometric analysis; G9;
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