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Matrices of science and technology interactions and patterns of structured growth: implications for development

Author

Listed:
  • Leonardo Costa Ribeiro

    (UFMG)

  • Ricardo Machado Ruiz

    (UFMG)

  • Américo Tristão Bernardes

    (UFOP)

  • Eduardo Motta Albuquerque

    (UFMG)

Abstract

Scientific and other non-patent references (NPRs) in patents are important tools to analyze interactions between science and technology. This paper organizes a database with 514,894 USPTO patents granted globally in 1974, 1982, 1990, 1998 and 2006. There are 165,762 patents with at least one reference to science and engineering (S&E) literature, from a total of 1,375,503 references. Through a lexical analysis, 71.1% of this S&E literature is classified by S&E fields. These data serve as the basis for the elaboration of global and national 3-dimensional matrices (technological domains, S&E fields and number of references). Three indicators are proposed to analyze these matrices, allowing us to identify patterns of structured growth that differentiate developed and non-developed countries. This differentiation informs suggestions for public policies for development, emphasizing the need for an articulation between the industrial and technological dimension and scientific side. The intertwinement of these two dimensions is a key component of developmental policies for the twenty-first century.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-009-0020-3
    DOI: 10.1007/s11192-009-0020-3
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    References listed on IDEAS

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    2. Leonardo Costa Ribeiro & Isabel de Azeredo Moura & Luiza Teixeira de Melo Franco & Márcia Siqueira Rapini & Eduardo da Motta e Albuquerque, 2009. "The scientific and technological trajectories of four Latin American countries: Mexico, Costa Rica, Argentina, and Brazil," Textos para Discussão Cedeplar-UFMG td362, Cedeplar, Universidade Federal de Minas Gerais.
    3. Csomós György, 2017. "Mapping Spatial and Temporal Changes of Global Corporate Research and Development Activities by Conducting a Bibliometric Analysis," Quaestiones Geographicae, Sciendo, vol. 36(1), pages 65-77, March.
    4. Mu-Hsuan Huang & Ssu-Han Chen & Chia-Ying Lin & Dar-Zen Chen, 2014. "Exploring temporal relationships between scientific and technical fronts: a case of biotechnology field," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1085-1100, February.
    5. Jorge Britto & Leonardo Costa Ribeiro & Lucas Araújo & Eduardo da Motta e Albuquerque, 2017. "Knowledge flows, firms' competencies, and patent citations: an analysis of the trajectory of IBM," Textos para Discussão Cedeplar-UFMG 561, Cedeplar, Universidade Federal de Minas Gerais.
    6. Leonardo Costa Ribeiro & Ulisses Pereira Santos & Valbona Muzaka, 2022. "Trademarks as an indicator of innovation: towards a fuller picture," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 481-508, January.
    7. Leonardo Costa Ribeiro & Glenda Kruss & Gustavo Britto & Ricardo Machado Ruiz & Américo Tristão Bernardes & Eduardo da Motta e Albuquerque, 2012. "Unveiling Global Innovation Networks," Textos para Discussão Cedeplar-UFMG 463, Cedeplar, Universidade Federal de Minas Gerais.
    8. Roney Fraga Souza & Sheila Cristina Ferreira Leite & Rosangela Ballini & Jose´ Maria Ferreira Jardim Da Silveira, 2016. "A Dynamic Method To Identify New Fields Of Scientific Research: An Application To Bioenergy," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 154, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Guijie Zhang & Guang Yu & Yuqiang Feng & Luning Liu & Zhenhua Yang, 2017. "Improving the publication delay model to characterize the patent granting process," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 621-637, May.
    10. Csomós, György & Tóth, Géza, 2016. "Exploring the position of cities in global corporate research and development: A bibliometric analysis by two different geographical approaches," Journal of Informetrics, Elsevier, vol. 10(2), pages 516-532.
    11. Yu-Wei Chang, 2014. "Exploring scientific articles contributed by industries in Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 599-613, May.
    12. Leonardo Costa Ribeiro & Glenda Kruss & Gustavo Britto & Américo Tristão Bernardes & Eduardo Motta e Albuquerque, 2014. "A methodology for unveiling global innovation networks: patent citations as clues to cross border knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 61-83, October.
    13. Jaimin Goh & Jaehong Lee & Wonchang Hur & Yunchang Ju, 2019. "Do Analysts Fully Reflect Information in Patents about Future Earnings?," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    14. Chihmao Hsieh, 2011. "Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 381-404, February.
    15. Wang, Jean J. & Ye, Fred Y., 2021. "Probing into the interactions between papers and patents of new CRISPR/CAS9 technology: A citation comparison," Journal of Informetrics, Elsevier, vol. 15(4).
    16. Jung Cheol Shin & Soo Jeung Lee & Yangson Kim, 2012. "Knowledge-based innovation and collaboration: a triple-helix approach in Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 311-326, January.
    17. Leonardo Costa Ribeiro & Márcia Siqueira Rapini & Leandro Alves Silva & Eduardo da Motta e Albuquerque, 2017. "Cross-border co-authorships in scientific articles and knowledge flows: implications for investigating an emerging international system of innovation," Textos para Discussão Cedeplar-UFMG 553, Cedeplar, Universidade Federal de Minas Gerais.
    18. Guijie Zhang & Yuqiang Feng & Guang Yu & Luning Liu & Yanqiqi Hao, 2017. "Analyzing the time delay between scientific research and technology patents based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1287-1306, June.
    19. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.

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    More about this item

    Keywords

    Science and technology linkages; Stages of economic development; Systems of innovation;
    All these keywords.

    JEL classification:

    • O - Economic Development, Innovation, Technological Change, and Growth
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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