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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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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    3. Eaton, Jonathan & Kortum, Samuel, 1997. "Engines of growth: Domestic and foreign sources of innovation," Japan and the World Economy, Elsevier, vol. 9(2), pages 235-259, May.
    4. Kul Luintel & Mosahid Khan & Konstantinos Theodoridis, 2014. "On the robustness of R&D," Journal of Productivity Analysis, Springer, vol. 42(2), pages 137-155, October.
    5. Archibugi, Daniele & Filippetti, Andrea, 2018. "The retreat of public research and its adverse consequences on innovation," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 97-111.
    6. FUKAO Kyoji & UG Kwon Hyeog, 2003. "Japan's Productivity and Economic Growth: an Empirical Analysis Based on Industry-Level and Firm-Level Data(in Japanese)," ESRI Discussion paper series 066, Economic and Social Research Institute (ESRI).
    7. Erik Hjalmarsson & Pär Österholm, 2010. "Testing for cointegration using the Johansen methodology when variables are near-integrated: size distortions and partial remedies," Empirical Economics, Springer, vol. 39(1), pages 51-76, August.
    8. Luc Soete & Bart Verspagen & Thomas H W Ziesemer, 2022. "Economic impact of public R&D: an international perspective [The governance and performance of universities: evidence from Europe and the US]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 1-18.
    9. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    10. Fumio Hayashi & Edward C. Prescott, 2004. "The 1990s in Japan: a lost decade," Chapters, in: Paolo Onofri (ed.), The Economics of an Ageing Population, chapter 2, Edward Elgar Publishing.
    11. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    12. Thomas H. W. Ziesemer, 2021. "Semi-endogenous growth models with domestic and foreign private and public R&D linked to VECMs," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 30(6), pages 621-642, August.
    13. Goto, Akira, 2000. "Japan's National Innovation System: Current Status and Problems," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 16(2), pages 103-113, Summer.
    14. 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.
    15. Bernstein, Jeffrey I. & Mohnen, Pierre, 1998. "International R&D spillovers between U.S. and Japanese R&D intensive sectors," Journal of International Economics, Elsevier, vol. 44(2), pages 315-338, April.
    16. Lance A. Fisher & Hyeon‐Seung Huh & Adrian R. Pagan, 2016. "Econometric Methods for Modelling Systems With a Mixture of i(1) and i(0) Variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 892-911, August.
    17. Laura Bottazzi & Giovanni Peri, 2007. "The International Dynamics of R&D and Innovation in the Long Run and in The Short Run," Economic Journal, Royal Economic Society, vol. 117(518), pages 486-511, March.
    18. Kyoji Fukao & Hyeog Ug Kwon, 2006. "Why Did Japan'S Tfp Growth Slow Down In The Lost Decade? An Empirical Analysis Based On Firm‐Level Data Of Manufacturing Firms," The Japanese Economic Review, Japanese Economic Association, vol. 57(2), pages 195-228, June.
    19. Revankar, Nagesh S, 1971. "A Class of Variable Elasticity of Substitution Production Functions," Econometrica, Econometric Society, vol. 39(1), pages 61-71, January.
    20. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    21. Søren Johansen & Rocco Mosconi & Bent Nielsen, 2000. "Cointegration analysis in the presence of structural breaks in the deterministic trend," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 216-249.
    22. Jeffrey Bernstein & Xiaoyi Yan, 1996. "Canadian-Japanese R&D spillovers and productivity growth," Applied Economics Letters, Taylor & Francis Journals, vol. 3(12), pages 763-767.
    23. Grossman, G.M., 1989. "Explaining Japan'S Innovation And Trade: A Model Of Quality Competition And Dynamic Comparative Advantage," Papers 151, Princeton, Woodrow Wilson School - Public and International Affairs.
    24. Nguyen Ngoc Thach, 2020. "Macroeconomic Growth in Vietnam Transitioned to Market: An Unrestricted VES Framework," Economies, MDPI, vol. 8(3), pages 1-15, July.
    25. Kurita, Takamitsu, 2020. "Normalising cointegrating relationships subject to long-run exclusion," Economics Letters, Elsevier, vol. 192(C).
    26. Kul B. Luintel & Mosahid Khan, 2004. "Are International R&D Spillovers Costly for the United States?," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 896-910, November.
    27. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    28. MIYAGAWA Tsutomu & ISHIKAWA Takayuki, 2019. "On the Decline of R&D Efficiency," Discussion papers 19052, Research Institute of Economy, Trade and Industry (RIETI).
    29. Ashish Arora & Lee G. Branstetter & Matej Drev, 2013. "Going Soft: How the Rise of Software-Based Innovation Led to the Decline of Japan's IT Industry and the Resurgence of Silicon Valley," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 757-775, July.
    30. Lau, Sau-Him Paul, 2008. "Using an error-correction model to test whether endogenous long-run growth exists," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 648-676, February.
    31. Fukao, Kyoji & Makino, Tatsuji & Settsu, Tokihiko, 2019. "Structural Change, Capital Deepening, and TFP Growth in Japan: 1885-1970," Discussion Paper Series 693, Institute of Economic Research, Hitotsubashi University.
    32. V. Mukerji, 1963. "A Generalized S.M.A.C. Function with Constant Ratios of Elasticity of Substitution," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 30(3), pages 233-236.
    33. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575.
    34. Kaihatsu, Sohei & Kurozumi, Takushi, 2014. "What caused Japan’s Great Stagnation in the 1990s? Evidence from an estimated DSGE model," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 217-235.
    35. Søren Johansen & Rocco Mosconi & Bent Nielsen, 2000. "Cointegration analysis in the presence of structural breaks in the deterministic trend," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 216-249.
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    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. & Travaglini Giuseppe & Ille Sebastian, 2021. "Macrodynamic Modeling of Innovation Equilibria and Traps," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(2), pages 659-694, June.
    5. 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.
    6. Giovanna Ciaffi & Matteo Deleidi & Stefano Di Bucchianico, 2022. "Stagnation despite ongoing innovation: Is R&D expenditure composition a missing link? An empirical analysis for the US (1948-2019)," Department of Economics University of Siena 877, Department of Economics, University of Siena.
    7. 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.

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