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Das Romer-Modell mit qualitaetsverbesserndem technischem Fortschritt

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  • Wolfgang Kornprobst

Abstract

In bedeutenden Modellen der neuen Wachstumstheorie wird Wachstum entweder durch eine zunehmende Produktvielfalt oder durch Qualitaetsverbesserungen bestehender Produkte modelliert. Wachstum im Romer- Modell (Romer (1990a)) basiert auf einer zunehmenden Anzahl von Produkten, bei Grossman und Helpman wird Wachstum durch eine zunehmende Qualitaet bestehender Produkte generiert (Grossman & Helpman 1991a, Kap. 4). Beide Modelle haben Vorzuege. Das Romer-Modell erklaert die Entwicklung des aggregierten Kapitalstocks besser und kann als erweitertes Solow-Modell mit endogener Erklaerung des technischen Fortschritts verstanden werden. Das Qualitaetenmodell von Grossman und Helpman wird der Sicht Schumpeters eher gerecht, dass Wachstum durch kreative Zerstoerung entsteht. Indem junge Firmen bestehende Produkte verbessern, verdraengen sie die alten Firmen mit den schlechteren Produkten. Die Oekonomie profitiert, weil staendig bessere Produkte verfuegbar werden. Ausserdem wird bei Grossman/Helpman der Forschungsprozess treffender modelliert: Es liegt Unsicherheit ueber den Erfolg von Forschung vor. Im Romer- Modell gibt es diese Unsicherheit nicht. Das vorliegende Modell verbindet die Vorteile beider Modelle. Es behaelt die Struktur des Romer-Modells, implementiert aber Schumpeters Sicht ueber wirtschaftlichen Fortschritt.

Suggested Citation

  • Wolfgang Kornprobst, 2007. "Das Romer-Modell mit qualitaetsverbesserndem technischem Fortschritt," Working Papers 014, Bavarian Graduate Program in Economics (BGPE).
  • Handle: RePEc:bav:wpaper:014_kornprobst
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    References listed on IDEAS

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    1. Benassy, Jean-Pascal, 1998. "Is there always too little research in endogenous growth with expanding product variety?," European Economic Review, Elsevier, vol. 42(1), pages 61-69, January.
    2. Arnold, Lutz G., 2005. "Multi-Country Endogenous Growth Models," University of Regensburg Working Papers in Business, Economics and Management Information Systems 404, University of Regensburg, Department of Economics.
    3. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    4. Mark Bils & Peter J. Klenow, 2001. "Quantifying Quality Growth," American Economic Review, American Economic Association, vol. 91(4), pages 1006-1030, September.
    5. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders in the Theory of Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(1), pages 43-61.
    6. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    7. Segerstrom, Paul S, 1998. "Endogenous Growth without Scale Effects," American Economic Review, American Economic Association, vol. 88(5), pages 1290-1310, December.
    8. William D. Nordhaus, 1998. "Quality Change in Price Indexes," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 59-68, Winter.
    9. Arnold, Lutz G. & Kornprobst, Wolfgang, 2006. "The Dynamics of the Romer R&D Growth Model with Quality Upgrading," University of Regensburg Working Papers in Business, Economics and Management Information Systems 413, University of Regensburg, Department of Economics.
    10. Federico Etro, 2004. "Innovation by leaders," Economic Journal, Royal Economic Society, vol. 114(495), pages 281-303, April.
    11. Miguel-Angel Martín & Agustín Herranz, 2004. "Human capital and economic growth in Spanish regions," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 10(4), pages 257-264, November.
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    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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