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Technological progress at national level: Increasing diffusion speeds with ever-changing leaders and followers

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  • Farmer, J. Doyne
  • Barbrook-Johnson, Peter
  • Tankwa, Brendon
  • Vazquez Bassat, Lucas

    (University of Oxford Department of Economics)

Abstract

Understanding national-level technology adoption is critical for addressing economic, societal, and environmental challenges. This study analyzes 27 technology datasets with good temporal and regional coverage to understand national-level technology diffusion, and identifies the logistic S-curve as a robust, parsimonious model for capturing adoption patterns. We show that technology adoption speeds have increased over time, especially in Information and Communication Technologies (ICT). While early-adopting countries (leaders) often have slower diffusion, later adopters (followers) benefit from imitation and de-risking, supporting a national-level "fast-follower" hypothesis. Structural factors also shape these outcomes: adoption speed grows with GDP growth but falls with population size; technology leadership is influenced by GDP per capita, government effectiveness, distance to a technology's inventor, and population size. Our findings reinforce established theories while providing new insights into cross-country variation, shifting adoption sequences, and increasingly rigid country rankings, particularly in ICT. This evidence helps policymakers and researchers better understand technology diffusion and can inform strategies that guide technological progress.

Suggested Citation

  • Farmer, J. Doyne & Barbrook-Johnson, Peter & Tankwa, Brendon & Vazquez Bassat, Lucas, 2025. "Technological progress at national level: Increasing diffusion speeds with ever-changing leaders and followers," INET Oxford Working Papers 2025-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
  • Handle: RePEc:amz:wpaper:2025-01
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    References listed on IDEAS

    as
    1. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622, Elsevier.
    2. Grubler, Arnulf & Nakicenovic, Nebojsa & Victor, David G., 1999. "Dynamics of energy technologies and global change," Energy Policy, Elsevier, vol. 27(5), pages 247-280, May.
    3. Gutiérrez, R. & Nafidi, A. & Gutiérrez Sánchez, R., 2005. "Forecasting total natural-gas consumption in Spain by using the stochastic Gompertz innovation diffusion model," Applied Energy, Elsevier, vol. 80(2), pages 115-124, February.
    4. Charles Kenny & George Yang, 2022. "Technology and Development: An Exploration of the Data," Working Papers 617, Center for Global Development.
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    Keywords

    S-curves; National-level data; Technological progress; Technology leadership; Drivers of technology;
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