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Global pattern of science funding in economics

Author

Listed:
  • Star X. Zhao

    (East China Normal University)

  • Shuang Yu

    (East China Normal University)

  • Alice M. Tan

    (Zhejiang University)

  • Xin Xu

    (East China Normal University)

  • Haiyan Yu

    (East China Normal University)

Abstract

Based on the original data of 100,275 SSCI indexed papers in the field of economics in 2009–2014, this work applied scientometrics and network analysis methods to study the funding pattern of funding ratio, impacts, indices’ relationship and collaboration structure in major countries/territories. Results show that, unlike the notable standing of economics, the global funding ratio of economics in 2009–2014 is just 8.3 %, much lower than the average level of social sciences. Although USA seems to be far ahead in the innovation of economics, the coverage of its science funding has been not widespread. By contrast, the funding ratio of China ranks highest, but the effect of funding needs to be strengthened. We observe an approximate power–law relationship among three basic measures of funded economics papers, including citations, total numbers and h-indexes. The cooperation researches in economics present a key structure of three main components: USA as the central part, a core group of Asia Pacific and another core group of Europe. The collaboration pattern of continents is largely based on the connection between Europe and USA.

Suggested Citation

  • Star X. Zhao & Shuang Yu & Alice M. Tan & Xin Xu & Haiyan Yu, 2016. "Global pattern of science funding in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 463-479, October.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:1:d:10.1007_s11192-016-1961-y
    DOI: 10.1007/s11192-016-1961-y
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    Cited by:

    1. Zhao, Star X. & Tan, Alice M. & Yu, Shuang & Xu, Xin, 2018. "Analyzing the research funding in physics: The perspective of production and collaboration at institution level," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 662-674.
    2. Weishu Liu & Li Tang & Guangyuan Hu, 2020. "Funding information in Web of Science: an updated overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1509-1524, March.
    3. Lili Miao & Vincent Larivi`ere & Feifei Wang & Yong-Yeol Ahn & Cassidy R. Sugimoto, 2023. "Cooperation and interdependence in global science funding," Papers 2308.08630, arXiv.org, revised Feb 2024.
    4. Rongying Zhao & Xinlai Li & Zhisen Liang & Danyang Li, 2019. "Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of Google," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 323-347, October.
    5. Star X. Zhao & Wen Lou & Alice M. Tan & Shuang Yu, 2018. "Do funded papers attract more usage?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 153-168, April.
    6. Mauerhofer, Volker, 2019. "An introduction and overview on law, politics and governance: Institutions, organizations and procedures for Ecological Economics," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.

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