IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/100757.html
   My bibliography  Save this paper

An empirical note on the long-run effects of public and private R&D on TFP

Author

Listed:
  • Herzer, Dierk

Abstract

Several studies have examined the long-run effects of public and private R&D on TFP with mixed results. A common feature of these studies is the use of stocks of public and private R&D capital, constructed under the implicit assumption that the prices of GDP, public R&D, and private R&D move identically. Thus, the results of these studies may be biased to the extent that this assumption is violated. The main contribution of this note is to avoid this bias by using numbers of public and private sector researchers to measure R&D activity in the public and private sector. Contrary to previous studies, it is found—using numbers of researchers in the public and private sector—that there is strong evidence of a significant positive long-run effect of both public and private R&D on TFP and of a greater effect of public R&D than private R&D. Consistent with the mixed evidence reported in the literature, it is also found that the use of public and private R&D stocks produces mixed results regarding the long-run effects of public and private R&D on TFP.

Suggested Citation

  • Herzer, Dierk, 2020. "An empirical note on the long-run effects of public and private R&D on TFP," MPRA Paper 100757, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:100757
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/100757/1/MPRA_paper_100757.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    3. Charles I. Jones, 2002. "Sources of U.S. Economic Growth in a World of Ideas," American Economic Review, American Economic Association, vol. 92(1), pages 220-239, March.
    4. Andrea Bassanini & Stefano Scarpetta, 2003. "The Driving Forces of Economic Growth: Panel Data Evidence for the OECD Countries," OECD Economic Studies, OECD Publishing, vol. 2001(2), pages 9-56.
    5. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    6. Herzer Dierk, 2022. "Semi-endogenous Versus Schumpeterian Growth Models: A Critical Review of the Literature and New Evidence," Review of Economics, De Gruyter, vol. 73(1), pages 1-55, April.
    7. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    8. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    9. Park, Walter G, 1995. "International R&D Spillovers and OECD Economic Growth," Economic Inquiry, Western Economic Association International, vol. 33(4), pages 571-591, October.
    10. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    11. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-1238, December.
    12. Hugo Erken & Piet Donselaar & Roy Thurik, 2018. "Total factor productivity and the role of entrepreneurship," The Journal of Technology Transfer, Springer, vol. 43(6), pages 1493-1521, December.
    13. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    14. Panagiotis Pegkas & Christos Staikouras & Constantinos Tsamadias, 2020. "Does Domestic and Foreign R&D Capital Affect Total Factor Productivity? Evidence from Eurozone Countries," International Economic Journal, Taylor & Francis Journals, vol. 34(2), pages 258-278, April.
    15. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    16. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    17. Bettina Becker, 2015. "Public R&D Policies And Private R&D Investment: A Survey Of The Empirical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 29(5), pages 917-942, December.
    18. Bengoa, Marta & Román, Valeriano Martínez-San & Pérez, Patricio, 2017. "Do R&D activities matter for productivity? A regional spatial approach assessing the role of human and social capital," Economic Modelling, Elsevier, vol. 60(C), pages 448-461.
    19. Dominique Guellec & Bruno Van Pottelsberghe de la Potterie, 2004. "From R&D to Productivity Growth: Do the Institutional Settings and the Source of Funds of R&D Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 353-378, July.
    20. Andrea Bassanini & Stefano Scarpetta & Philip Hemmings, 2001. "Economic Growth: The Role of Policies and Institutions: Panel Data. Evidence from OECD Countries," OECD Economics Department Working Papers 283, OECD Publishing.
    21. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    22. Roel van Elk & Bas ter Weel & Karen van der Wiel & Bram Wouterse, 2019. "Estimating the Returns to Public R&D Investments: Evidence from Production Function Models," De Economist, Springer, vol. 167(1), pages 45-87, March.
    23. Christian Gengenbach & Jean‐Pierre Urbain & Joakim Westerlund, 2016. "Error Correction Testing in Panels with Common Stochastic Trends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 982-1004, September.
    24. Jones, C.I., 2016. "The Facts of Economic Growth," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 3-69, Elsevier.
    25. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2016. "Long-Run Effects in Large Heterogeneous Panel Data Models with Cross-Sectionally Correlated Errors," Advances in Econometrics, in: Essays in Honor of man Ullah, volume 36, pages 85-135, Emerald Group Publishing Limited.
    26. Chang-Tai Hsieh & Peter J. Klenow, 2010. "Development Accounting," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 207-223, January.
    27. Peter Pedroni, 2007. "Social capital, barriers to production and capital shares: implications for the importance of parameter heterogeneity from a nonstationary panel approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 429-451.
    28. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    29. Ioannis Voutsinas & Constantinos Tsamadias, 2014. "Does research and development capital affect total factor productivity? Evidence from Greece," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(7), pages 631-651, October.
    30. Luc L. G. Soete & Bart Verspagen & Thomas H. W. Ziesemer, 2020. "The productivity effect of public R&D in the Netherlands," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 29(1), pages 31-47, January.
    31. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    32. Cette, Gilbert & Koehl, Lorraine & Philippon, Thomas, 2020. "Labor share," Economics Letters, Elsevier, vol. 188(C).
    33. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    34. 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.
    35. Park, Walter G., 1998. "A theoretical model of government research and growth," Journal of Economic Behavior & Organization, Elsevier, vol. 34(1), pages 69-85, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thomas H.W. Ziesemer, 2024. "Internal rates of return for public R&D from VECM estimates for 17 OECD Countries," Economic Change and Restructuring, Springer, vol. 57(5), pages 1-16, October.
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Dierk Herzer, 2017. "Refugee Immigration and Total Factor Productivity," International Economic Journal, Taylor & Francis Journals, vol. 31(3), pages 390-414, July.
    3. Herzer, Dierk, 2014. "Unions and income inequality: a heterogenous cointegration and causality analysis," Working Paper 146/2014, Helmut Schmidt University, Hamburg.
    4. Dierk Herzer & Holger Strulik & Sebastian Vollmer, 2012. "The long-run determinants of fertility: one century of demographic change 1900–1999," Journal of Economic Growth, Springer, vol. 17(4), pages 357-385, December.
    5. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    6. Herzer, Dierk, 2013. "Cross-Country Heterogeneity and the Trade-Income Relationship," World Development, Elsevier, vol. 44(C), pages 194-211.
    7. Hugo Erken & Piet Donselaar & Roy Thurik, 2018. "Total factor productivity and the role of entrepreneurship," The Journal of Technology Transfer, Springer, vol. 43(6), pages 1493-1521, December.
    8. Dierk Herzer & Julian Donaubauer, 2018. "The long-run effect of foreign direct investment on total factor productivity in developing countries: a panel cointegration analysis," Empirical Economics, Springer, vol. 54(2), pages 309-342, March.
    9. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    10. Herzer Dierk, 2022. "Semi-endogenous Versus Schumpeterian Growth Models: A Critical Review of the Literature and New Evidence," Review of Economics, De Gruyter, vol. 73(1), pages 1-55, April.
    11. Dierk Herzer, 2016. "Unions and Income Inequality: A Heterogeneous Panel Co-integration and Causality Analysis," LABOUR, CEIS, vol. 30(3), pages 318-346, September.
    12. Herzer, Dierk, 2022. "The impact of domestic and foreign R&D on TFP in developing countries," World Development, Elsevier, vol. 151(C).
    13. Dong-Hyeon Kim & Shu-Chin Lin, 2017. "Natural Resources and Economic Development: New Panel Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(2), pages 363-391, February.
    14. Herzer, Dierk & Nunnenkamp, Peter, 2015. "Income inequality and health: Evidence from developed and developing countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-56.
    15. Gazi Hassan & Arusha Cooray & Mark Holmes, 2017. "The effect of female and male health on economic growth: cross-country evidence within a production function framework," Empirical Economics, Springer, vol. 52(2), pages 659-689, March.
    16. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2014. "Green Growth in Mexico, Brazil and Chile: Policy strategies and future prospects," Ibero America Institute for Econ. Research (IAI) Discussion Papers 229, Ibero-America Institute for Economic Research.
    17. Krieger, Tim & Meierrieks, Daniel, 2020. "Population size and the size of government," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 61, pages 1-1.
    18. Dierk Herzer & Holger Strulik, 2017. "Religiosity and income: a panel cointegration and causality analysis," Applied Economics, Taylor & Francis Journals, vol. 49(30), pages 2922-2938, June.
    19. Herzer, Dierk & Nunnenkamp, Peter, 2012. "The effect of foreign aid on income inequality: Evidence from panel cointegration," Structural Change and Economic Dynamics, Elsevier, vol. 23(3), pages 245-255.
    20. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, 02.

    More about this item

    Keywords

    public R&D; private R&D; total factor productivity; panel cointegration;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:100757. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.