Abstract
We investigate the dynamic and qualitative nature of technological change in 96 countries between 1980 and 2021 from a structuralist technology upgrading perspective. First, drawing from patent data, we map the dynamics of technological knowledge by exploring the growth rates and significance of technology clusters. Second, we explore whether there is a relationship between specific technology clusters and economic growth. Third, we examine whether countries at different levels of development share similar or heterogeneous technology upgrading profiles and how patterns of technology upgrading have changed over time. We use a long-term, technology-level, cross-country patent dataset, and to address the issues identified we apply two complementary analytical methods: Generalized Method of Moments (GMM) panel data analysis and Fuzzy Set Qualitative Comparative Analysis (fs/QCA). We find a significant association between growth dynamics and country-level specific technology clusters that is driven by the ongoing ICT-based technological revolution and enabling nanotechnology, biotechnology and automation tools. Heterogenous trajectories in technological profiles allowed us to distinguish between more productive and less productive technology upgrading profiles at different income levels. Our results suggest that innovation policy should go beyond mission oriented policies focused solely on newly emerging technologies. Instead, it should develop policy mixes conceived as portfolios of missions focused on technology clusters with disparate objectives, requirements and institutional setups.
Original language | English |
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Article number | 104847 |
Number of pages | 21 |
Journal | Research Policy |
Volume | 52 |
Issue number | 8 |
Early online date | 11 Jul 2023 |
DOIs | |
Publication status | Published - Oct 2023 |
Bibliographical note
© 2023, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.
Funding
Bruno Fischer has received funding from the European Union's Horizon 2020 Marie Curie Research and Innovation Staff Exchange under grant agreement No 778398.
Funders | Funder number |
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Horizon Europe | 778398 |
Keywords
- Technology profiles
- Technology upgrading
- Emerging Technologies
- Enabling technologies
- Economic growth
- Innovation policy