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Japan’s Productivity and GDP Growth: The Role of Private, Public and Foreign R&D 1967–2017

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  • THW Ziesemer

    (Department of Economics and UNU-MERIT, Maastricht University, 6211AX Maastricht, The Netherlands)

Abstract

We analyze the dynamic interaction of Japan’s total factor productivity, gross domestic product (GDP) domestic and foreign private and public research and development (R&D) in vector-error-correction models (VECMs) for Japan with data from 1963–2017. Extensive testing leads to favoring a model with five cointegrating equations for the six variables. Analysis of effects of permanent policy changes shows that (i) additional public R&D encourages private R&D and total factor productivity (TFP), and has higher internal rates of return than private R&D changes and therefore could speed up Japan’s growth; (ii) public R&D changes have a statistically significant positive permanent effect on foreign private R&D stocks and a transitional effect on foreign public R&D stocks; (iii) private R&D changes have a statistically significant positive permanent effect on foreign public R&D stocks and a transitional effect on foreign private R&D stocks; (iv) after a temporary GDP change, public R&D is counter-cyclical in the short and medium run and private R&D is pro-cyclical. Empirical results are related to the parameters of a VES (variable elasticity of substitution) function for TFP production.

Suggested Citation

  • THW Ziesemer, 2020. "Japan’s Productivity and GDP Growth: The Role of Private, Public and Foreign R&D 1967–2017," Economies, MDPI, vol. 8(4), pages 1-25, September.
  • Handle: RePEc:gam:jecomi:v:8:y:2020:i:4:p:77-:d:420847
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    Cited by:

    1. Thomas Ziesemer, 2023. "Labour-augmenting technical change data for alternative elasticities of substitution: growth, slowdown, and distribution dynamics," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(4), pages 449-475, May.
    2. Dierk Herzer, 2022. "An Empirical Note on the Long-Run Effects of Public and Private R&D on TFP," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3248-3264, December.
    3. Thomas H. W. Ziesemer, 2022. "Foreign R&D spillovers to the USA and strategic reactions," Applied Economics, Taylor & Francis Journals, vol. 54(37), pages 4274-4291, August.
    4. Sanchez-Carrera Edgar J. & Ille Sebastian & Travaglini Giuseppe, 2021. "Macrodynamic Modeling of Innovation Equilibria and Traps," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(2), pages 659-694, June.
    5. Thomas H. W. Ziesemer, 2024. "Public R&D and Growth: A dynamic Panel Vector-Error-Correction Model Analysis for 14 OECD Countries," Economies, MDPI, vol. 12(8), pages 1-33, August.
    6. Sakiru Adebola Solarin & Gema Lopez & Luis A. Gil‐Alana, 2022. "Persistence analysis of research intensity in OECD countries since 1870," Australian Economic Papers, Wiley Blackwell, vol. 61(4), pages 738-750, December.
    7. Ciaffi, Giovanna & Deleidi, Matteo & Di Bucchianico, Stefano, 2024. "Stagnation despite ongoing innovation: Is R&D expenditure composition a missing link? An empirical analysis for the US (1948–2019)," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    8. Rolando Rubilar-Torrealba & Karime Chahuán-Jiménez & Hanns de la Fuente-Mella, 2022. "Analysis of the Growth in the Number of Patents Granted and Its Effect over the Level of Growth of the Countries: An Econometric Estimation of the Mixed Model Approach," Sustainability, MDPI, vol. 14(4), pages 1-12, February.
    9. Thomas H. W. Ziesemer, 2024. "Mission-oriented R&D and growth of Japan 1988–2016: a comparison with private and public R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(2), pages 218-247, February.

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