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National innovation systems, economic complexity, and economic growth: country panel analysis using the US patent data

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Innovation, Catch-up and Sustainable Development

Part of the book series: Economic Complexity and Evolution ((ECAE))

  • The original version of this chapter was revised as the Copyright holder name, Copyright year information were incorrectly mentioned and as well as the footnote information was missed to be included to the chapter. A correction to this chapter can be found at https://doi.org/10.1007/978-3-030-84931-3_17
  • Reprinted by permission from Springer Nature: Springer Nature, Journal of Evolutionary Economics, National innovation systems, economic complexity, and economic growth: country panel analysis using the US patent data, Keun Lee & Jongho Lee, 2015 (https://doi.org/10.1007/s00191-019-00612-3)

Abstract

This study examines the impacts of national innovation systems (NIS) and economic complexity index (ECI) on economic growth. A composite index of NIS is developed by using US patent data as a weighted sum of three, four or five variables among the following: concentration of assignees, localization, originality, diversification, and cycle time of technologies. Growth regressions confirm the significant and robust impacts of NIS3a, NIS4a, and NIS5 indices on economic growth. The common feature of these NIS indices is that they have the same component variables as their ingredients, and these are originality, cycle time, and technological diversification. NIS3a is the most parsimonious and powerful among all indices. The robustness of ECI is questionable because ECI loses significance after adding government expenditure and terms of trade variables into the regression model. Results confirm the overall importance of NIS in economic growth and justify policy efforts to improve NIS. This research is one of the first to generate a robust NIS index by using patent data only without many data requirements and free from the problem of cross-country comparability of underlying variables.

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Change history

  • 08 September 2022

    The book was inadvertently published with its Chapters 6, 7, 10, 11, 12, 14, 16 having an incorrect “Copyright Holder Name” and “Copyright Year” information. The reprinting information in the footnotes of these Spin-Off chapters were also missed to be included to these 7 chapters.

Notes

  1. 1.

    The results of GMM estimations for the models in Tables 4, 5, and 6 are mostly consistent with the FE results and are available upon request.

  2. 2.

    We follow Acemoglu et al. (2001) in not adding the variable of initial per capita income in the regression models. However, the results do not change with and without this variable.

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Author information

Authors and Affiliations

  1. Department of Economics, Seoul National University, Seoul, South Korea

    Keun Lee

  2. Barun ICT Research Center, Yonsei University, Seoul, South Korea

    Jongho Lee

Authors
  1. Keun Lee
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  2. Jongho Lee
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Corresponding author

Correspondence to Keun Lee .

Editor information

Editors and Affiliations

  1. Department of Innovation Economics, University of Hohenheim, Stuttgart, Germany

    Andreas Pyka

  2. Department of Economics, Seoul National University, Seoul, Korea (Republic of)

    Keun Lee

Appendix

Appendix

Table 9 Basic statistics
Full size table
Table 10 Correlations during the sample periods
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Lee, K., Lee, J. (2019). National innovation systems, economic complexity, and economic growth: country panel analysis using the US patent data. In: Pyka, A., Lee, K. (eds) Innovation, Catch-up and Sustainable Development. Economic Complexity and Evolution. Springer, Cham. https://doi.org/10.1007/978-3-030-84931-3_6

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