[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2005-074.html
   My bibliography  Save this paper

Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle

Author

Listed:
  • Mr. Frederick L Joutz
  • Mr. Yasser Abdih
Abstract
The knowledge production function is central to R&D-based growth models. This paper empirically investigates the knowledge production function and intertemporal spillover effects using cointegration techniques. Time-series evidence suggests there are two long-run cointegrating relationships. The first captures a long-run knowledge production function; the second captures a long-run positive relationship between TFP and the knowledge stock. The results indicate the presence of strong intertemporal knowledge spillovers and that the long-run impact of the knowledge stock on TFP is small. This evidence is interpreted in light of existing theoretical and empirical evidence on endogenous growth.

Suggested Citation

  • Mr. Frederick L Joutz & Mr. Yasser Abdih, 2005. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Working Papers 2005/074, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2005/074
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=18129
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Zvi Griliches, 1989. "Patents: Recent Trends and Puzzles," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1989 Micr), pages 291-330.
    2. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    3. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    4. Hendry, David F, 1986. "Econometric Modelling with Cointegrated Variables: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 201-212, August.
    5. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    6. Arora, Ashish & Gambardella, Alfonso, 1994. "The changing technology of technological change: general and abstract knowledge and the division of innovative labour," Research Policy, Elsevier, vol. 23(5), pages 523-532, September.
    7. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    8. Mr. Elhanan Helpman & Mr. David T. Coe, 1993. "International RandD Spillovers," IMF Working Papers 1993/084, International Monetary Fund.
    9. Kortum, Samuel, 1993. "Equilibrium R&D and the Patent-R&D Ratio: U.S. Evidence," American Economic Review, American Economic Association, vol. 83(2), pages 450-457, May.
    10. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    12. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    13. Charles I. Jones, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 495-525.
    14. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    15. Michael E. Porter & Scott Stern, 2000. "Measuring the "Ideas" Production Function: Evidence from International Patent Output," NBER Working Papers 7891, National Bureau of Economic Research, Inc.
    16. Manuel Trajtenberg & Adam B. Jaffe & Michael S. Fogarty, 2000. "Knowledge Spillovers and Patent Citations: Evidence from a Survey of Inventors," American Economic Review, American Economic Association, vol. 90(2), pages 215-218, May.
    Full references (including those not matched with items on IDEAS)

    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. Mr. Frederick L Joutz & Mr. Yasser Abdih, 2008. "The Impact of Public Capital, Human Capital, and Knowledge on Aggregate Output," IMF Working Papers 2008/218, International Monetary Fund.
    2. Aurora Teixeira & Natércia Fortuna, 2003. "Human Capital, Innovation Capability and Economic Growth," FEP Working Papers 131, Universidade do Porto, Faculdade de Economia do Porto.
    3. Laura Bottazzi & Giovanni Peri, 2005. "The International Dynamics of R&D and Innovation in the Short and in the Long Run," NBER Working Papers 11524, National Bureau of Economic Research, Inc.
    4. Paul Lau, Sau-Him, 1999. "I(0) In, integration and cointegration out:: Time series properties of endogenous growth models," Journal of Econometrics, Elsevier, vol. 93(1), pages 1-24, November.
    5. Jakob Madsen & James Ang & Rajabrata Banerjee, 2010. "Four centuries of British economic growth: the roles of technology and population," Journal of Economic Growth, Springer, vol. 15(4), pages 263-290, December.
    6. Xiong, Ailun & Xia, Senmao & Ye, Zhen Peter & Cao, Dongmei & Jing, Yanguo & Li, Hongyi, 2020. "Can innovation really bring economic growth? The role of social filter in China," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 50-61.
    7. Lybbert, Travis J. & Zolas, Nikolas J., 2014. "Getting patents and economic data to speak to each other: An ‘Algorithmic Links with Probabilities’ approach for joint analyses of patenting and economic activity," Research Policy, Elsevier, vol. 43(3), pages 530-542.
    8. Ufuk Akcigit & William R. Kerr, 2018. "Growth through Heterogeneous Innovations," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1374-1443.
    9. Marios Zachariadis, 2003. "R&D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(3), pages 566-586, August.
    10. Dechezlepretre, Antoine & Martin, Ralf & Mohnen, Myra, 2014. "Knowledge spillovers from clean and dirty technologies," LSE Research Online Documents on Economics 60501, London School of Economics and Political Science, LSE Library.
    11. Callaghan, Christian William, 2021. "Growth contributions of technological change: Is there a burden of knowledge effect?," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    12. Giovanni Peri & Laura Bottaz, 2005. "The International Dynamics of R&D and Innovationin the Short Run and in the Long Run," Working Papers 59, University of California, Davis, Department of Economics.
    13. Sergey Kondyan & Karine Yenokyan, 2019. "Cross-country Knowledge Spillovers and Innovations in Less Developed Countries in the Context of the Schumpeterian Growth Model," Journal of Industry, Competition and Trade, Springer, vol. 19(3), pages 479-500, September.
    14. Alexandre Almeida & Aurora A.C. Teixeira, 2007. "Does Patenting negatively impact on R&D investment?An international panel data assessment," FEP Working Papers 255, Universidade do Porto, Faculdade de Economia do Porto.
    15. repec:zbw:bofrdp:2013_028 is not listed on IDEAS
    16. Kamilia Loukil, 2016. "Role of Human Resources in the Promotion of Technological Innovation in Emerging and Developing Countries," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 341-352, September.
    17. Kul B. Luintel & Mosahid Khan, 2009. "Heterogeneous ideas production and endogenous growth: an empirical investigation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(3), pages 1176-1205, August.
    18. Stefania Villa, 2005. "Determinants of growth in Italy. A time series analysis," Quaderni DSEMS 24-2005, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    19. Ufuk Akcigit & William R. Kerr, 2018. "Growth through Heterogeneous Innovations," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1374-1443.
    20. Krammer, Sorin M.S., 2009. "Drivers of national innovation in transition: Evidence from a panel of Eastern European countries," Research Policy, Elsevier, vol. 38(5), pages 845-860, June.
    21. Diao, Xinshen & Roe, Terry & Yeldan, Erinc, 1999. "Strategic policies and growth: an applied model of R&D-driven endogenous growth," Journal of Development Economics, Elsevier, vol. 60(2), pages 343-380, December.

    More about this item

    Keywords

    WP; production function; growth rate;
    All these keywords.

    JEL classification:

    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    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:imf:imfwpa:2005/074. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.