IDEAS home Printed from https://ideas.repec.org/a/pal/imfstp/v53y2006i2p3.html
   My bibliography  Save this article

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

Author

Listed:
  • Yasser Abdih

    (International Monetary Fund)

  • Frederick Joutz

    (International Monetary Fund)

Abstract

The knowledge production function is central to research and development-based growth models. This paper empirically investigates the knowledge production function and intertemporal spillover effects using cointegration techniques. Timeseries 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 total factor productivity (TFP) and the knowledge stock. The results indicate that strong intertemporal knowledge spillovers are present 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. Copyright 2006, International Monetary Fund

Suggested Citation

  • Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan, vol. 53(2), pages 1-3.
    • Handle: RePEc:pal:imfstp:v:53:y:2006:i:2:p:3
    as

    Download full text from publisher

    File URL: http://www.imf.org/External/Pubs/FT/staffp/2006/02/pdf/abdih.pdf
    File Function: main text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    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. 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.
    3. Aurora Teixeira & Natércia Fortuna, 2003. "Human Capital, Innovation Capability and Economic Growth," FEP Working Papers 131, Universidade do Porto, Faculdade de Economia do Porto.
    4. 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.
    5. 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.
    6. 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.
    7. Long Gen Ying, 2008. "The Shape of Ideas Production Function in Transition and Developing Economies: Evidence from China," International Regional Science Review, , vol. 31(2), pages 185-206, April.
    8. Durlauf, Steven N. & Quah, Danny T., 1999. "The new empirics of economic growth," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308, Elsevier.
    9. Zhou, Qin & Cheng, Changgao & Fang, Zhou & Zhang, Hengquan & Xu, Yining, 2024. "How does the development of the digital economy affect innovation output? Exploring mechanisms from the perspective of regional innovation systems," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 1-17.
    10. Bettencourt, Luis M.A. & Lobo, Jose & Strumsky, Deborah, 2007. "Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size," Research Policy, Elsevier, vol. 36(1), pages 107-120, February.
    11. Drivas, Kyriakos & Economidou, Claire & Karamanis, Dimitrios & Sanders, Mark, 2020. "Mobility of highly skilled individuals and local innovation activity," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    12. Giovanni Peri, 2002. "Knowledge Flows and Knowledge Externalities," CESifo Working Paper Series 765, CESifo.
    13. Gong, Guan & Keller, Wolfgang, 2003. "Convergence and polarization in global income levels: a review of recent results on the role of international technology diffusion," Research Policy, Elsevier, vol. 32(6), pages 1055-1079, June.
    14. 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.
    15. Norman Sedgley & Bruce Elmslie, 2011. "Do We Still Need Cities? Evidence on Rates of Innovation from Count Data Models of Metropolitan Statistical Area Patents," American Journal of Economics and Sociology, Wiley Blackwell, vol. 70(1), pages 86-108, January.
    16. Oscar Afonso & Paulo B. Vasconcelos, 2007. "Re-examining International Technological-Knowledge Diffusion," International Economic Journal, Taylor & Francis Journals, vol. 21(2), pages 279-296.
    17. Maria Jesus Herrerias & Vicente Orts, 2011. "The driving forces behind China’s growth," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 19(1), pages 79-124, January.
    18. Hean, Oudom, "undated". "The Effect of Metropolitan Technological Progress on the Non-metropolitan Labor Market: Evidence from U.S. Patent Counts," 2018 Annual Meeting, August 5-7, Washington, D.C. 274176, Agricultural and Applied Economics Association.
    19. 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.
    20. 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.

    More about this item

    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:pal:imfstp:v:53:y:2006:i:2:p:3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.