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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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    1. Andrea Zaccaria & Matthieu Cristelli & Andrea Tacchella & Luciano Pietronero, 2014. "How the Taxonomy of Products Drives the Economic Development of Countries," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-17, December.
    2. Matthieu Cristelli & Andrea Gabrielli & Andrea Tacchella & Guido Caldarelli & Luciano Pietronero, 2013. "Measuring the Intangibles: A Metrics for the Economic Complexity of Countries and Products," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-20, August.
    3. Leydesdorff, Loet & Wagner, Caroline, 2009. "Macro-level indicators of the relations between research funding and research output," Journal of Informetrics, Elsevier, vol. 3(4), pages 353-362.
    4. Bornmann, Lutz & Leydesdorff, Loet & Mutz, Rüdiger, 2013. "The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits," Journal of Informetrics, Elsevier, vol. 7(1), pages 158-165.
    5. Ludo Waltman & Nees Jan Eck & Thed N. Leeuwen & Martijn S. Visser & Anthony F. J. Raan, 2011. "Towards a new crown indicator: an empirical analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 467-481, June.
    6. Anton J. Nederhof, 2006. "Bibliometric monitoring of research performance in the Social Sciences and the Humanities: A Review," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 81-100, January.
    7. Mu‐Hsuan Huang & Muh‐Chyun Tang & Dar‐Zen Chen, 2011. "Inequality of publishing performance and international collaboration in physics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(6), pages 1156-1165, June.
    8. Dag W. Aksnes & Gunnar Sivertsen, 2004. "The effect of highly cited papers on national citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 213-224, February.
    9. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    10. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.
    11. Gunnar Sivertsen & Birger Larsen, 2012. "Comprehensive bibliographic coverage of the social sciences and humanities in a citation index: an empirical analysis of the potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 567-575, May.
    12. Mu-Hsuan Huang & Muh-Chyun Tang & Dar-Zen Chen, 2011. "Inequality of publishing performance and international collaboration in physics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(6), pages 1156-1165, June.
    13. Olle Persson, 2010. "Are highly cited papers more international?," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 397-401, May.
    14. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S. & van Raan, Anthony F.J., 2011. "Towards a new crown indicator: Some theoretical considerations," Journal of Informetrics, Elsevier, vol. 5(1), pages 37-47.
    15. Ludo Waltman & Michael Schreiber, 2013. "On the calculation of percentile-based bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 372-379, February.
    16. Waltman, Ludo & van Eck, Nees Jan, 2015. "Field-normalized citation impact indicators and the choice of an appropriate counting method," Journal of Informetrics, Elsevier, vol. 9(4), pages 872-894.
    17. Matthieu Cristelli & Andrea Tacchella & Luciano Pietronero, 2015. "The Heterogeneous Dynamics of Economic Complexity," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-15, February.
    18. Maki Kato & Asao Ando, 2013. "The relationship between research performance and international collaboration in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 535-553, December.
    19. Aksnes, Dag W. & Schneider, Jesper W. & Gunnarsson, Magnus, 2012. "Ranking national research systems by citation indicators. A comparative analysis using whole and fractionalised counting methods," Journal of Informetrics, Elsevier, vol. 6(1), pages 36-43.
    20. Zhou, Ping & Leydesdorff, Loet, 2006. "The emergence of China as a leading nation in science," Research Policy, Elsevier, vol. 35(1), pages 83-104, February.
    21. Wolfgang Glänzel & Balázs Schlemmer, 2007. "National research profiles in a changing Europe (1983–2003) An exploratory study of sectoral characteristics in the Triple Helix," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 267-275, February.
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    Cited by:

    1. Uwe Cantner & Martin Kalthaus & Matthias Menter & Pierre Mohnen, 2023. "Global knowledge flows: characteristics, determinants, and impacts," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(5), pages 1063-1076.
    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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