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Does the Productivity J-curve Explain Korea’s Economic Slowdown? (Japanese)

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  • Tomohiko INUI
  • YoungGak KIM

Abstract

This study examines the stagnation of total factor productivity (TFP) in the Korean economy through the lens of the “Productivity J-curve” hypothesis. Despite Korea’s world-leading R&D intensity and active investment in ICT and software, TFP growth has slowed since the 2000s. Using firm-level data of Korean listed companies, the micro-level analysis reveals that R&D and software investments are consistently associated with unobserved and complementary intangible assets. At the macro level, the revised TFP growth rate—adjusted for such intangible investments—exceeds the conventional measure by about one percentage point per year after 2008, demonstrating a typical J-curve effect. These findings suggest that measurement challenges and time lags in intangible investment contribute to Korea’s productivity puzzle, highlighting the need for improved intangible asset statistics and policies that foster complementary investments in human, organizational, and digital capital.

Suggested Citation

  • Tomohiko INUI & YoungGak KIM, 2025. "Does the Productivity J-curve Explain Korea’s Economic Slowdown? (Japanese)," Discussion Papers (Japanese) 25028, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:rdpsjp:25028
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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Cette, Gilbert & Fernald, John & Mojon, Benoît, 2016. "The pre-Great Recession slowdown in productivity," European Economic Review, Elsevier, vol. 88(C), pages 3-20.
    3. Ellen McGrattan, 2020. "Intangible Capital and Measured Productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 147-166, August.
    4. Hayashi, Fumio & Inoue, Tohru, 1991. "The Relation between Firm Growth and Q with Multiple Capital Goods: Theory and Evidence from Panel Data on Japanese Firms," Econometrica, Econometric Society, vol. 59(3), pages 731-753, May.
    5. Bart van Ark, 2016. "The Productivity Paradox of the New Digital Economy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 31, pages 3-18, Fall.
    6. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Measuring Capital in the New Economy," NBER Books, National Bureau of Economic Research, Inc, number corr05-1, May.
    7. Chad Syverson, 2017. "Challenges to Mismeasurement Explanations for the US Productivity Slowdown," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 165-186, Spring.
    8. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Introduction to "Measuring Capital in the New Economy"," NBER Chapters, in: Measuring Capital in the New Economy, pages 1-10, National Bureau of Economic Research, Inc.
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