IDEAS home Printed from https://ideas.repec.org/p/uow/depec1/wp04-21.html
   My bibliography  Save this paper

Innovation Heterogeneity, Schumpeterian Growth and Evolutionary Theorizing

Author

Abstract

Schumpeterian growth models revolve around two tacit assumptions that are at odds with the empirical evidence, namely: all innovations are equally important for economic growth (equipollent innovation) and all innovations occur in one sector only (confined innovation). The present paper shows that it is possible to dispose of both implicit assumptions by disaggregating the "ideas production function" without altering the gist of the theoretical framework. The paper refers briefly to the concepts of macro and microinventions, and introduces the concept of "innovatory discontinuity". The extended theoretical framework developed here throws light on the ongoing controversy between neoclassical and evolutionary theorizing.

Suggested Citation

  • Pol, Eduardo & Carroll, Peter, 2004. "Innovation Heterogeneity, Schumpeterian Growth and Evolutionary Theorizing," Economics Working Papers wp04-21, School of Economics, University of Wollongong, NSW, Australia.
    • Handle: RePEc:uow:depec1:wp04-21
    as

    Download full text from publisher

    File URL: http://www.uow.edu.au/content/groups/public/@web/@commerce/@econ/documents/doc/uow012182.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charles I. Jones, 1999. "Growth: With or Without Scale Effects?," American Economic Review, American Economic Association, vol. 89(2), pages 139-144, May.
    2. 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.
    3. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    4. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    5. Richard R. Nelson, 1982. "The Role of Knowledge in R&D Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 97(3), pages 453-470.
    6. Elias Dinopoulos & Peter Thompson, 1999. "Scale effects in Schumpeterian models of economic growth," Journal of Evolutionary Economics, Springer, vol. 9(2), pages 157-185.
    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. Sener, Fuat, 2008. "R&D policies, endogenous growth and scale effects," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3895-3916, December.
    2. Agnieszka Gehringer, 2011. "Pecuniary Knowledge Externalities across European Countries—Are there Leading Sectors?," Industry and Innovation, Taylor & Francis Journals, vol. 18(4), pages 415-436.
    3. Stadler, Manfred, 2015. "Innovation, industrial dynamics and economic growth," University of Tübingen Working Papers in Business and Economics 84, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    4. Stadler, Manfred, 2004. "Bildung, Innovationsdynamik und Produktivitätswachstum," Tübinger Diskussionsbeiträge 280, University of Tübingen, School of Business and Economics.
    5. repec:got:cegedp:101 is not listed on IDEAS
    6. Christopher Laincz & Pietro Peretto, 2006. "Scale effects in endogenous growth theory: an error of aggregation not specification," Journal of Economic Growth, Springer, vol. 11(3), pages 263-288, September.
    7. Davis, Lewis S., 2008. "Scale effects in growth: A role for institutions," Journal of Economic Behavior & Organization, Elsevier, vol. 66(2), pages 403-419, May.
    8. Sener, Fuat, 2001. "Schumpeterian unemployment, trade and wages," Journal of International Economics, Elsevier, vol. 54(1), pages 119-148, June.
    9. Minniti, Antonio & Venturini, Francesco, 2017. "The long-run growth effects of R&D policy," Research Policy, Elsevier, vol. 46(1), pages 316-326.
    10. Fulvio Castellacci, 2007. "Evolutionary And New Growth Theories. Are They Converging?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(3), pages 585-627, July.
    11. Christopher A. Laincz & Pietro F. Peretto, 2004. "Scale Effects, An Error of Aggregation Not Specification: Empirical Evidence," DEGIT Conference Papers c009_037, DEGIT, Dynamics, Economic Growth, and International Trade.
    12. Alberto Bucci, 2005. "An Inverted-U Relationship between Product Market Competition and Growth in an Extended Romerian Model," Rivista di Politica Economica, SIPI Spa, vol. 95(5), pages 177-206, September.
    13. Cozzi, Guido & Spinesi, Luca, 2006. "How much horizontal innovation is consistent with vertical innovation?," Research in Economics, Elsevier, vol. 60(1), pages 47-53, March.
    14. Oscar Afonso & Manuela Magalhães, 2021. "The role of intellectual property rights in a directed technical change model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2142-2176, April.
    15. Steven Bond-Smith & Philip McCann & Les Oxley, 2018. "A regional model of endogenous growth without scale assumptions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(1), pages 5-35, January.
    16. Benjamin Montmartin & Nadine Massard, 2015. "Is Financial Support For Private R&D Always Justified? A Discussion Based On The Literature On Growth," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 479-505, July.
    17. Angus Chu, 2010. "Effects of patent length on R&D: a quantitative DGE analysis," Journal of Economics, Springer, vol. 99(2), pages 117-140, March.
    18. Turnovsky, S., 2000. "Growth in an Open Economy: some Recent Developments," Papers 5, Warwick - Development Economics Research Centre.
    19. Reto Foellmi & Josef Zweim�ller, "undated". "Structural Change and the Kaldor Facts of Economic Growth," IEW - Working Papers 111, Institute for Empirical Research in Economics - University of Zurich.
    20. Angus Chu, 2009. "Effects of blocking patents on R&D: a quantitative DGE analysis," Journal of Economic Growth, Springer, vol. 14(1), pages 55-78, March.
    21. Fulvio Castellacci, 2007. "Technological regimes and sectoral differences in productivity growth ," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 16(6), pages 1105-1145, December.

    More about this item

    Keywords

    Innovation heterogeneity; ideas production function; scale effects problem; innovatory discontinuity; neoclassical and evolutionary theorizing;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:uow:depec1:wp04-21. 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: Peter Siminski (email available below). General contact details of provider: https://edirc.repec.org/data/deuowau.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.