IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v17y2023i1s1751157722001109.html
   My bibliography  Save this article

Geography of science: Competitiveness and inequality

Author

Listed:
  • Patelli, Aurelio
  • Napolitano, Lorenzo
  • Cimini, Giulio
  • Gabrielli, Andrea

Abstract

We characterize the temporal dynamics of Scientific Fitness, as defined by the Economic Fitness and Complexity (EFC) framework, and R&D expenditures at the geographic scale of nations. Our analysis highlights common patterns across similar research systems, and shows how developing nations (China in particular) are quickly catching up with the developed world. This paints the picture of a general growth of scientific and technical capabilities of nations induced by the spreading of information typical of the scientific environment. Shifting the focus of the analysis to the regional level, we find that even developed nations display a considerable level of inequality in the Scientific Fitness of their internal regions. Further, we assess comparatively how the competitiveness of each geographic region is distributed over the spectrum of research sectors. Overall, the Scientific Fitness represents the first high quality estimation of the scientific strength of nations and regions, opening new policy-making applications for better allocating resources, filling inequality gaps and ultimately promoting innovation.

Suggested Citation

  • Patelli, Aurelio & Napolitano, Lorenzo & Cimini, Giulio & Gabrielli, Andrea, 2023. "Geography of science: Competitiveness and inequality," Journal of Informetrics, Elsevier, vol. 17(1).
  • Handle: RePEc:eee:infome:v:17:y:2023:i:1:s1751157722001109
    DOI: 10.1016/j.joi.2022.101357
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157722001109
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joi.2022.101357?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Henry Laverde-Rojas & Juan C. Correa, 2019. "Can scientific productivity impact the economic complexity of countries?," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 267-282, July.
    2. 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.
    3. Futao Huang, 2018. "Quality deficit belies the hype," Nature, Nature, vol. 564(7735), pages 70-71, December.
    4. Fairclough, Ruth & Thelwall, Mike, 2015. "More precise methods for national research citation impact comparisons," Journal of Informetrics, Elsevier, vol. 9(4), pages 895-906.
    5. Manuel Sebastian Mariani & Zhuo-Ming Ren & Jordi Bascompte & Claudio Juan Tessone, 2019. "Nestedness in complex networks: Observation, emergence, and implications," Papers 1905.07593, arXiv.org.
    6. 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.
    7. 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.
    8. Petersen, Alexander M. & Pan, Raj K. & Pammolli, Fabio & Fortunato, Santo, 2019. "Methods to account for citation inflation in research evaluation," Research Policy, Elsevier, vol. 48(7), pages 1855-1865.
    9. Emanuele Pugliese & Giulio Cimini & Aurelio Patelli & Andrea Zaccaria & Luciano Pietronero & Andrea Gabrielli, 2017. "Unfolding the innovation system for the development of countries: co-evolution of Science, Technology and Production," Papers 1707.05146, arXiv.org, revised Dec 2017.
    10. Young-Ho Eom & Santo Fortunato, 2011. "Characterizing and Modeling Citation Dynamics," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-7, September.
    11. Pierre-Alexandre Balland & Cristian Jara-Figueroa & Sergio G. Petralia & Mathieu P. A. Steijn & David L. Rigby & César A. Hidalgo, 2020. "Complex economic activities concentrate in large cities," Nature Human Behaviour, Nature, vol. 4(3), pages 248-254, March.
    12. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    13. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    14. 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.
    15. Sven E. Hug & Martin P. Brändle, 2017. "The coverage of Microsoft Academic: analyzing the publication output of a university," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1551-1571, December.
    16. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    17. Claudio Cozza & Francesco Schettino, 2015. "Explaining the Patenting Propensity: A Regional Analysis Using EPO-OECD Data," AIEL Series in Labour Economics, in: Chiara Mussida & Francesco Pastore (ed.), Geographical Labor Market Imbalances, edition 127, chapter 0, pages 219-236, Springer.
    18. 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.
    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. Felipe G Operti & Emanuele Pugliese & José S Andrade Jr. & Luciano Pietronero & Andrea Gabrielli, 2018. "Dynamics in the Fitness-Income plane: Brazilian states vs World countries," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-20, June.
    21. Tacchella, A. & Cristelli, M. & Caldarelli, G. & Gabrielli, A. & Pietronero, L., 2013. "Economic complexity: Conceptual grounding of a new metrics for global competitiveness," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1683-1691.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bernardo Caldarola & Dario Mazzilli & Lorenzo Napolitano & Aurelio Patelli & Angelica Sbardella, 2023. "Economic complexity and the sustainability transition: A review of data, methods, and literature," Papers 2308.07172, arXiv.org, revised Mar 2024.
    2. Matteo Bruno & Dario Mazzilli & Aurelio Patelli & Tiziano Squartini & Fabio Saracco, 2023. "Inferring comparative advantage via entropy maximization," Papers 2304.12245, arXiv.org.

    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. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "Reprint of The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(8).
    2. Angelica Sbardella & Andrea Zaccaria & Luciano Pietronero & Pasquale Scaramozzino, 2021. "Behind the Italian Regional Divide: An Economic Fitness and Complexity Perspective," LEM Papers Series 2021/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Bernardo Caldarola & Dario Mazzilli & Lorenzo Napolitano & Aurelio Patelli & Angelica Sbardella, 2023. "Economic complexity and the sustainability transition: A review of data, methods, and literature," Papers 2308.07172, arXiv.org, revised Mar 2024.
    4. Aurelio Patelli & Andrea Zaccaria & Luciano Pietronero, 2021. "Universal Database for Economic Complexity," Papers 2110.00302, arXiv.org.
    5. 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.
    6. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(3).
    7. 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.
    8. Sudeshna Ghosh & Buhari Doğan & Muhlis Can & Muhammad Ibrahim Shah & Nicholas Apergis, 2023. "Does economic structure matter for income inequality?," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2507-2527, June.
    9. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    10. Matteo Bruno & Dario Mazzilli & Aurelio Patelli & Tiziano Squartini & Fabio Saracco, 2023. "Inferring comparative advantage via entropy maximization," Papers 2304.12245, arXiv.org.
    11. Antonis Adam & Antonios Garas & Marina-Selini Katsaiti & Athanasios Lapatinas, 2023. "Economic complexity and jobs: an empirical analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(1), pages 25-52, January.
    12. Sèna Kimm Gnangnon, 2023. "Do unilateral trade preferences help reduce poverty in beneficiary countries?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 249-288, February.
    13. Charles D. Brummitt & Andres Gomez-Lievano & Ricardo Hausmann & Matthew H. Bonds, 2018. "Machine-learned patterns suggest that diversification drives economic development," Papers 1812.03534, arXiv.org.
    14. Angelica Sbardella & Emanuele Pugliese & Luciano Pietronero, 2017. "Economic development and wage inequality: A complex system analysis," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-26, September.
    15. Bustos, Sebastián & Yıldırım, Muhammed A., 2022. "Production Ability and economic growth," Research Policy, Elsevier, vol. 51(8).
    16. Mika J. Straka & Guido Caldarelli & Tiziano Squartini & Fabio Saracco, 2017. "From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks," Papers 1710.10143, arXiv.org.
    17. Tacchella, Andrea & Zaccaria, Andrea & Miccheli, Marco & Pietronero, Luciano, 2023. "Relatedness in the era of machine learning," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    18. Andrea Tacchella & Andrea Zaccaria & Marco Miccheli & Luciano Pietronero, 2021. "Relatedness in the Era of Machine Learning," Papers 2103.06017, arXiv.org.
    19. Angelica Sbardella & Emanuele Pugliese & Luciano Pietronero, 2016. "Economic Development and Inequality: a complex system analysis," Papers 1605.03133, arXiv.org.
    20. Antonios Garas & Sophie Guthmuller & Athanasios Lapatinas, 2021. "The development of nations conditions the disease space," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-35, January.

    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:eee:infome:v:17:y:2023:i:1:s1751157722001109. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    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.