IDEAS home Printed from https://ideas.repec.org/p/cdp/texdis/td288.html
   My bibliography  Save this paper

The curse of technological race: the red queen effect

Author

Listed:
  • Leonardo Costa Ribeiro

    (UFMG)

  • Ricardo Machado Ruiz

    (Cedeplar-UFMG)

  • Américo Tristão Bernardes

    (UFOP)

  • Eduardo da Motta e Albuquerque

    (Cedeplar-UFMG)

Abstract

Economic prosperity is tied to scientific development, i.e., there is a strong correlation between science, technology and the wealth of nations. We collected data from scientific and technological production of 183 countries of the last thirty years (1974 to 2003) and applied a super-paramagnetic clustering technique on them, finding nations divided in three regimes, distinguished by the interactions between the agents of their National Systems of Innovation (NSI). The identification of these groups allows us to define the dynamical behavior of the thresholds, that grow exponentially and whose growth rate we have calculated. We show that for the period 1974-2003 the threshold between the immature and the developed NSIs increases by an annual rate of 6.6% (per capita). We identify clearly a "Red Queen Effect". Finally we show that the transitions between the regimes are discontinuous, represented by a structural breakthrough. Therefore, the prerequisite to move from regime I to regime II, and then to regime III are structural changes within NSIs.

Suggested Citation

  • Leonardo Costa Ribeiro & Ricardo Machado Ruiz & Américo Tristão Bernardes & Eduardo da Motta e Albuquerque, 2006. "The curse of technological race: the red queen effect," Textos para Discussão Cedeplar-UFMG td288, Cedeplar, Universidade Federal de Minas Gerais.
  • Handle: RePEc:cdp:texdis:td288
    as

    Download full text from publisher

    File URL: https://www.cedeplar.ufmg.br/pesquisas/td/TD%20288.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bernardes, Americo Tristao & Albuquerque, Eduardo da Motta e, 2003. "Cross-over, thresholds, and interactions between science and technology: lessons for less-developed countries," Research Policy, Elsevier, vol. 32(5), pages 865-885, May.
    2. Freeman, Chris, 1995. "The 'National System of Innovation' in Historical Perspective," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 19(1), pages 5-24, February.
    3. Leonardo C. Ribeiro & Ricardo M. Ruiz & Eduardo M. Albuquerque & Américo T. Bernardes, 2006. "National Systems Of Innovation And Technological Differentiation: A Multi-Country Model," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 247-257.
    Full references (including those not matched with items on IDEAS)

    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. Leonardo Costa Ribeiro & Ricardo Machado Ruiz & Américo Tristão Bernardes & Eduardo Motta Albuquerque, 2010. "Matrices of science and technology interactions and patterns of structured growth: implications for development," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 55-75, April.
    2. Américo Tristão Bernardes & Ricardo Machado Ruiz & Leonardo Costa Ribeiro & Eduardo da Motta e Albuquerque, 2006. "Modeling economic growth fuelled by science and technology," Textos para Discussão Cedeplar-UFMG td294, Cedeplar, Universidade Federal de Minas Gerais.
    3. Leonardo Costa Ribeiro & Ricardo Machado Ruiz & Américo Tristão Bernardes & Eduardo da Motta e Albuquerque, 2008. "Matrices of science and technology interactions: implications for development," Textos para Discussão Cedeplar-UFMG td333, Cedeplar, Universidade Federal de Minas Gerais.
    4. Renata Del-Vecchio & Jorge Britto & Bruno Oliveira, 2014. "Patterns of university–industry interactions in Brazil: an exploratory analysis using the instrumental of graph theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 1867-1892, July.
    5. Philip Cooke, 2002. "Biotechnology Clusters as Regional, Sectoral Innovation Systems," International Regional Science Review, , vol. 25(1), pages 8-37, January.
    6. Chulok Alexander, 2021. "Applying blended foresight methods for revealing incentives and future strategies of key national innovation system players," Engineering Management in Production and Services, Sciendo, vol. 13(4), pages 160-173, December.
    7. Reis, Anabela & Heitor, Manuel & Amaral, Miguel & Mendonça, Joana, 2016. "Revisiting industrial policy: Lessons learned from the establishment of an automotive OEM in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 195-205.
    8. Kim, Jinhee & Lee, Keun, 2022. "Local–global interface as a key factor in the catching up of regional innovation systems: Fast versus slow catching up among Taipei, Shenzhen, and Penang in Asia," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    10. Teplykh, Grigorii & Galimardanov, Amal, 2017. "Modeling of innovative investment in Russian regions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 104-125.
    11. Kim, Yeong Jae & Wilson, Charlie, 2019. "Analysing energy innovation portfolios from a systemic perspective," Energy Policy, Elsevier, vol. 134(C).
    12. Keijzer, Charlotte & Iizuka, Michiko, 2017. "Pathways for capacity building in heterogeneous value chains: Evidence from the case of IT-enabled services in South Africa," MERIT Working Papers 2017-012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. Havas, Attila, 2004. "EU Enlargement and Innovation Policy in Central European Countries: The case of Hungary," MPRA Paper 69872, University Library of Munich, Germany.
    14. Cătălin Emilian Boja & Claudiu Herţeliu & Marian Dârdală & Bogdan Vasile Ileanu, 2018. "Day of the week submission effect for accepted papers in Physica A, PLOS ONE, Nature and Cell," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 887-918, November.
    15. Charalambos Vlados & Fotios Katimertzopoulos, 2019. "The ¡°Mystery¡± of Innovation: Bridging the Economic and Business Thinking and the Stra.Tech.Man Approach," Business and Economic Research, Macrothink Institute, vol. 9(1), pages 236-262, March.
    16. Ulisses Pereira dos Santos, 2017. "Regional distribution of the National System of Innovation actors and economic development: an international comparison," Brazilian Journal of Political Economy, Center of Political Economy, vol. 37(4), pages 850-869.
    17. Tsao, J.Y. & Boyack, K.W. & Coltrin, M.E. & Turnley, J.G. & Gauster, W.B., 2008. "Galileo's stream: A framework for understanding knowledge production," Research Policy, Elsevier, vol. 37(2), pages 330-352, March.
    18. Kruss, Glenda & McGrath, Simon & Petersen, Il-haam & Gastrow, Michael, 2015. "Higher education and economic development: The importance of building technological capabilities," International Journal of Educational Development, Elsevier, vol. 43(C), pages 22-31.
    19. Swati Mehta, 2018. "National Innovation System of India: An Empirical Analysis," Millennial Asia, , vol. 9(2), pages 203-224, August.
    20. Kokko, Ari & Tingvall, Patrik Gustavsson & Videnord, Josefin, 2015. "The growth effects of R&D spending in the EU: A meta-analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-26.

    More about this item

    Keywords

    national systems of innovation; super-paramagnetic clustering technique; moving thresholds;
    All these keywords.

    JEL classification:

    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:cdp:texdis:td288. 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: Gustavo Britto (email available below). General contact details of provider: https://edirc.repec.org/data/pufmgbr.html .

    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.