IDEAS home Printed from https://ideas.repec.org/a/spr/joevec/v14y2004i2p223-236.html
   My bibliography  Save this article

Schumpeterian endogenous growth theory and evolutionary economics

Author

Listed:
  • Alain Alcouffe
  • Thomas Kuhn

Abstract

In this paper, we aim to discuss whether Schumpeterian models of endogenous growth can accommodate Schumpeter’s vision of development through creative destruction. Taking a methodological approach, our focus is on individual decision-making, technology, general equilibrium and welfare, and steady state dynamics as the fundamental principles underlying endogenous growth theory. In particular, the Aghion-Howitt model of Schumpeterian growth in various extended versions is analyzed in the light of Schumpeter’s work. Therefore, we also try to root Schumpeter’s work in historical context. We find endogenous growth theory far from carrying Schumpeter’s idea of an evolutionary approach to change and development. Rather the emergence of numerous models of an evolutionary type can be observed to provide for the formal structure appropriate to keeping Schumpeter’s legacy alive. Copyright Springer-Verlag Berlin/Heidelberg 2004

Suggested Citation

  • Alain Alcouffe & Thomas Kuhn, 2004. "Schumpeterian endogenous growth theory and evolutionary economics," Journal of Evolutionary Economics, Springer, vol. 14(2), pages 223-236, June.
    • Handle: RePEc:spr:joevec:v:14:y:2004:i:2:p:223-236
    DOI: 10.1007/s00191-004-0205-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00191-004-0205-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00191-004-0205-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Other versions of this item:

    Citations

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


    Cited by:

    1. Frank W. Geels & Jonatan Pinkse & Dimitri Zenghelis, 2021. "Productivity opportunities and risks in a transformative,low-carbon and digital age," Working Papers 009, The Productivity Institute.
    2. Kevin Maréchal & Hélène Aubaret-Joachain & Jean-Paul Ledant, 2008. "The influence of Economics on agricultural systems: an evolutionary and ecological perspective," Working Papers CEB 08-028.RS, ULB -- Universite Libre de Bruxelles.
    3. Kurt Dopfer, 2011. "Mesoeconomics: A Unified Approach to Systems Complexity and Evolution," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 13, Edward Elgar Publishing.
    4. Sterlacchini, Alessandro, 2008. "R&D, higher education and regional growth: Uneven linkages among European regions," Research Policy, Elsevier, vol. 37(6-7), pages 1096-1107, July.
    5. Kurt Dopfer, 2012. "The origins of meso economics," Journal of Evolutionary Economics, Springer, vol. 22(1), pages 133-160, January.
    6. John Foster, 2011. "Evolutionary macroeconomics: a research agenda," Journal of Evolutionary Economics, Springer, vol. 21(1), pages 5-28, February.
    7. repec:dau:papers:123456789/6516 is not listed on IDEAS
    8. Foster, John & Metcalfe, J. Stan, 2012. "Economic emergence: An evolutionary economic perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 420-432.
    9. Orlando Gomes, 2004. "A Second-Order Approximation to Technology Choices," GE, Growth, Math methods 0409007, University Library of Munich, Germany.
    10. Marian-Pompiliu Cristescu & Raluca-Andreea Nerișanu & Maria Flori & Florin Stoica & Florentina Laura Stoica, 2021. "Analysing the Stock Market as an Economic Lever, Using a Qualitative and a Quantitative Model," Mathematics, MDPI, vol. 9(19), pages 1-19, September.
    11. Nomaler, Önder & Verspagen, Bart, 2022. "Complexity research in economics: past, present and future," MERIT Working Papers 2022-023, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Ryota Nakatani, 2024. "Multifactor productivity growth enhancers across industries and countries: firm-level evidence," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 14(2), pages 401-446, June.
    13. Mantas Markauskas & Asta Baliute, 2021. "Technological progress spillover effect in Lithuanian manufacturing industry," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 783-806, December.

    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:spr:joevec:v:14:y:2004:i:2:p:223-236. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.