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A Model Of Growth Through Creative Destruction

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  • AGHION, P.
  • HOWITT, P.

Abstract

This paper develops a model based on Schumpeter's process of creative destruction. It departs from existing models of endogenous growth in emphasizing obsolescence of old technologies induced by the accumulation of knowledge and the resulting process or industrial innovations. This has both positive and normative implications for growth. In positive terms, the prospect of a high level of research in the future can deter research today by threatening the fruits of that research with rapid obsolescence. In normative terms, obsolescence creates a negative externality from innovations, and hence a tendency for laissez-faire economies to generate too many innovations, i.e too much growth. This "business-stealing" effect is partly compensated by the fact that innovations tend to be too small under laissez-faire. The model possesses a unique balanced growth equilibrium in which the log of GNP follows a random walk with drift. The size of the drift is the average growth rate of the economy and it is endogenous to the model ; in particular it depends on the size and likelihood of innovations resulting from research and also on the degree of market power available to an innovator.

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Bibliographic Info

Paper provided by DELTA (Ecole normale supérieure) in its series DELTA Working Papers with number 90-12.

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Length: 38 pages
Date of creation: 1990
Date of revision:
Publication status: Published in Econometrica, 1992, 59 (3), pp. 473-494
Handle: RePEc:del:abcdef:90-12

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Keywords: economic growth ; enterprises ; economic models ; innovations;

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References

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  1. 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.
  2. Ariel Pakes, 1986. "Patents as Options: Some Estimates of the Value of Holding European Patent Stocks," NBER Working Papers 1340, National Bureau of Economic Research, Inc.
  3. Shleifer, Andrei, 1986. "Implementation Cycles," Journal of Political Economy, University of Chicago Press, vol. 94(6), pages 1163-90, December.
  4. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
  5. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-37, October.
  6. Grandmont, Jean-Michel & Laroque, Guy, 1986. "Stability of cycles and expectations," Journal of Economic Theory, Elsevier, vol. 40(1), pages 138-151, October.
  7. Raymond Deneckere & Kenneth Judd, 1986. "Cyclical and Chaotic Behavior in a Dynamic Equilibrium Model," Discussion Papers 734, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  8. Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc.
  9. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
  10. Reinganum, Jennifer R., . "Innovation and Industry Evolution," Working Papers 426, California Institute of Technology, Division of the Humanities and Social Sciences.
  11. Zvi Griliches, 1989. "Patents: Recent Trends and Puzzles," NBER Working Papers 2922, National Bureau of Economic Research, Inc.
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  1. L’avenir de la croissance américaine
    by ? in D'un champ l'autre on 2014-01-25 13:03:00
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  1. Quantitative Macroeconomics and Real Business Cycles (QM&RBC)

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