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Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations

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  • Cimini, Giulio
  • Zaccaria, Andrea
  • Gabrielli, Andrea

Abstract

We discuss, at the macro-level of nations, the contribution of research funding and rate of international collaboration to research performance, with important implications for the “science of science policy”. In particular, we cross-correlate suitable measures of these quantities with a scientometric-based assessment of scientific success, studying both the average performance of nations and their temporal dynamics in the space defined by these variables during the last decade. We find significant differences among nations in terms of efficiency in turning (financial) input into bibliometrically measurable output, and we confirm that growth of international collaboration positively correlate with scientific success—with significant benefits brought by EU integration policies. Various geo-cultural clusters of nations naturally emerge from our analysis. We critically discuss the factors that potentially determine the observed patterns.

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  • Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
    • Handle: RePEc:eee:infome:v:10:y:2016:i:1:p:200-211
    DOI: 10.1016/j.joi.2016.01.002
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    Cited by:

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    2. Emanuele Pugliese & Guido L Chiarotti & Andrea Zaccaria & Luciano Pietronero, 2017. "Complex Economies Have a Lateral Escape from the Poverty Trap," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-18, January.
    3. Cong Cao & Jeroen Baas & Caroline S Wagner & Koen Jonkers, 2020. "Returning scientists and the emergence of China’s science system," Science and Public Policy, Oxford University Press, vol. 47(2), pages 172-183.
    4. Gauffriau, Marianne, 2017. "A categorization of arguments for counting methods for publication and citation indicators," Journal of Informetrics, Elsevier, vol. 11(3), pages 672-684.
    5. Niu, Qikai & Zhou, Jianlin & Zeng, An & Fan, Ying & Di, Zengru, 2016. "Which publication is your representative work?," Journal of Informetrics, Elsevier, vol. 10(3), pages 842-853.
    6. Sha Yuan & Zhou Shao & Xingxing Wei & Jie Tang & Wendy Hall & Yongli Wang & Ying Wang & Ye Wang, 2020. "Science behind AI: the evolution of trend, mobility, and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 993-1013, August.
    7. Maki Kato & Asao Ando, 2017. "National ties of international scientific collaboration and researcher mobility found in Nature and Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 673-694, February.
    8. Sandström, Ulf & Van den Besselaar, Peter, 2018. "Funding, evaluation, and the performance of national research systems," Journal of Informetrics, Elsevier, vol. 12(1), pages 365-384.
    9. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Di Costa, Flavia, 2022. "Revealing the scientific comparative advantage of nations: Common and distinctive features," Journal of Informetrics, Elsevier, vol. 16(1).
    10. Luciano Pietronero & Matthieu Cristelli & Andrea Gabrielli & Dario Mazzilli & Emanuele Pugliese & Andrea Tacchella & Andrea Zaccaria, 2017. "Economic Complexity: "Buttarla in caciara" vs a constructive approach," Papers 1709.05272, arXiv.org.
    11. Holger Graf & Martin Kalthaus, 2022. "Global Knowledge Embeddedness," Jena Economics Research Papers 2022-004, Friedrich-Schiller-University Jena.
    12. Patelli, Aurelio & Napolitano, Lorenzo & Cimini, Giulio & Gabrielli, Andrea, 2023. "Geography of science: Competitiveness and inequality," Journal of Informetrics, Elsevier, vol. 17(1).
    13. Hou, Lei & Pan, Yueling & Zhu, Jonathan J.H., 2021. "Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration," Journal of Informetrics, Elsevier, vol. 15(3).
    14. Andrea Palmucci & Hao Liao & Andrea Napoletano & Andrea Zaccaria, 2020. "Where is your field going? A machine learning approach to study the relative motion of the domains of physics," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-16, June.
    15. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Tiziano Squartini, 2015. "Detecting early signs of the 2007-2008 crisis in the world trade," Papers 1508.03533, arXiv.org, revised Jul 2016.
    16. Ping Zhou & Xiaojing Cai & Xiaozan Lyu, 2020. "An in-depth analysis of government funding and international collaboration in scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1331-1347, November.

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