IDEAS home Printed from https://ideas.repec.org/a/bla/econom/v72y2005i286p287-305.html
   My bibliography  Save this article

Are Knowledge Spillovers Driving the Convergence of Productivity among Firms?

Author

Listed:
  • Michael K. Fung

Abstract

This study evaluates the impact of knowledge spillovers on the convergence of productivity among firms. With the use of patent citation data, knowledge spillovers are decomposed into intra- and inter-industry spillovers, and internal knowledge flows. The findings from this study suggest that each firm is converging to its own steady-state productivity growth rate, which is conditional on the firm's R&D efforts and the intensity of intra-industry spillovers it receives. Moreover, if technology followers and leaders invest equally in R&D activities, the followers will eventually catch up with the leaders because the former tend to be the ones who receive knowledge spillovers from the latter. Copyright (c) The London School of Economics and Political Science 2005.

Suggested Citation

  • Michael K. Fung, 2005. "Are Knowledge Spillovers Driving the Convergence of Productivity among Firms?," Economica, London School of Economics and Political Science, vol. 72(286), pages 287-305, May.
  • Handle: RePEc:bla:econom:v:72:y:2005:i:286:p:287-305
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Michée A. Lachaud & Boris E. Bravo‐Ureta, 2021. "Agricultural productivity growth in Latin America and the Caribbean: an analysis of climatic effects, catch‐up and convergence," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 143-170, January.
    2. repec:hal:journl:peer-00732533 is not listed on IDEAS
    3. Keiko Ito & Sébastien Lechevalier, 2009. "The evolution of the productivity dispersion of firms: a reevaluation of its determinants in the case of Japan," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(3), pages 405-429, October.
    4. Klein, Michael A., 2022. "The reward and contract theories of patents in a model of endogenous growth," European Economic Review, Elsevier, vol. 147(C).
    5. Escribano, Álvaro & Stucchi, Rodolfo, 2008. "Catching up in total factor productivity through the business cycle : evidence from Spanish manufacturing surveys," UC3M Working papers. Economics we085125, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Thanh Tam Nguyen-Huu & Minh Nguyen-Khac & Quoc Tran-Nam, 2017. "The role of environmental regulations and innovation in TFP convergence: Evidence from manufacturing SMEs in Vietnam," WIDER Working Paper Series wp-2017-92, World Institute for Development Economic Research (UNU-WIDER).
    7. Chen, Jong-Rong & Kan, Kamhon & Tung, I-Hsuan, 2016. "Scientific linkages and firm productivity: Panel data evidence from Taiwanese electronics firms," Research Policy, Elsevier, vol. 45(7), pages 1449-1459.
    8. Álvaro Escribano & Rodolfo Stucchi, 2014. "Does recession drive convergence in firms’ productivity? Evidence from Spanish manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 339-349, June.
    9. Yucan Liu & C. Richard Shumway & Robert Rosenman & Virgil Eldon Ball, 2011. "Productivity growth and convergence in US agriculture: new cointegration panel data results," Applied Economics, Taylor & Francis Journals, vol. 43(1), pages 91-102.
    10. Blazsek, Szabolcs & Escribano, Alvaro, 2010. "Knowledge spillovers in US patents: A dynamic patent intensity model with secret common innovation factors," Journal of Econometrics, Elsevier, vol. 159(1), pages 14-32, November.
    11. Veland Ramadani & Hyrije Abazi-Alili & Léo-Paul Dana & Gadaf Rexhepi & Sadudin Ibraimi, 2017. "The impact of knowledge spillovers and innovation on firm-performance: findings from the Balkans countries," International Entrepreneurship and Management Journal, Springer, vol. 13(1), pages 299-325, March.
    12. Thanh tam Nguyen Huu, 2016. "Determinant factors of TFP convergence: Evidence from Vietnamese manufacturing firms from 2000-2012," Economics Bulletin, AccessEcon, vol. 36(3), pages 1569-1579.
    13. Kinfemichael, Bisrat & Morshed, A.K.M. Mahbub, 2019. "Unconditional convergence of labor productivity in the service sector," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 217-229.
    14. Naoto Jinji & Xingyuan Zhang, 2015. "International Knowledge Flows and Productivity: Intra- vs. Inter-Industry Spillovers," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 451-474, September.
    15. Teng Joe & Wu Dazhong & Smith Fran, 2015. "Industry Productivity Growth: A Network Perspective," Business Systems Research, Sciendo, vol. 6(2), pages 41-51, September.
    16. Néstor Sanabria Landazábal, 2011. "Investigación y desarrollo (i+d) en la productividad," Dimensión Empresarial, Universidad Autónoma del Caribe, May.
    17. Thanh Tam Nguyen-Huu & Minh Nguyen-Khac & Quoc Tran-Nam, 2017. "The role of environmental regulations and innovation in TFP convergence: Evidence from manufacturing SMEs in Vietnam," WIDER Working Paper Series 092, World Institute for Development Economic Research (UNU-WIDER).
    18. TENG Joe K.L. & HU Jiayu & WU Dazhong & MIXON Phillip A. & DUAN Chaojie (CJ, 2016. "Determinants Of Research And Development Intensity From A Network Perspective," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 11(3), pages 129-139, December.
    19. Kinfemichael, Bisrat & Morshed, A.K.M. Mahbub, 2019. "Convergence of labor productivity across the US states," Economic Modelling, Elsevier, vol. 76(C), pages 270-280.
    20. Livanis, Grigorios & Lamin, Anna, 2016. "Knowledge, Proximity and R&D Exodus," Research Policy, Elsevier, vol. 45(1), pages 8-26.
    21. Escribano, Álvaro & Blazsek, Szabolcs, 2012. "Patents, secret innovations and firm's rate of return : differential effects of the innovation leader," UC3M Working papers. Economics we1202, Universidad Carlos III de Madrid. Departamento de Economía.

    More about this item

    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:bla:econom:v:72:y:2005:i:286:p:287-305. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.