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Growth: With or Without Scale Effects?

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  • Charles I. Jones

Abstract

December 15, 1998 -- Version 1.0 The property that ideas are nonrivalrous leads to a tight link between idea-based growth models and increasing returns to scale. In particular, changes in the size of an economy's population generally affect either the long-run growth rate or the long-run level of income in such models. This paper provides a partial review of the expanding literature on idea-based models and scale effects. It presents simple versions of various recent idea-based growth models and analyzes their implications for the relationship between scale and growth. Prepared for the AEA Meetings, January 3, 1999. Forthcoming in the AER Papers and Proceedings, May 1999.
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Suggested Citation

  • Charles I. Jones, 1999. "Growth: With or Without Scale Effects?," American Economic Review, American Economic Association, vol. 89(2), pages 139-144, May.
    • Handle: RePEc:aea:aecrev:v:89:y:1999:i:2:p:139-144
    Note: DOI: 10.1257/aer.89.2.139
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. E. S. Phelps, 1966. "Models of Technical Progress and the Golden Rule of Research," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 33(2), pages 133-145.
    4. 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.
    5. Segerstrom, Paul S, 1998. "Endogenous Growth without Scale Effects," American Economic Review, American Economic Association, vol. 88(5), pages 1290-1310, December.
    6. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    7. Peretto, Pietro F, 1998. "Technological Change and Population Growth," Journal of Economic Growth, Springer, vol. 3(4), pages 283-311, December.
    8. Nordhaus, William D, 1969. "An Economic Theory of Technological Change," American Economic Review, American Economic Association, vol. 59(2), pages 18-28, May.
    9. Elias Dinopoulos & Peter Thompson, 1999. "Scale effects in Schumpeterian models of economic growth," Journal of Evolutionary Economics, Springer, vol. 9(2), pages 157-185.
    10. Samuel S. Kortum, 1997. "Research, Patenting, and Technological Change," Econometrica, Econometric Society, vol. 65(6), pages 1389-1420, November.
    11. Michael Kremer, 1993. "Population Growth and Technological Change: One Million B.C. to 1990," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 681-716.
    12. Li, Chol-Won, 2000. "Endogenous vs. Semi-endogenous Growth in a Two-R&D-Sector Model," Economic Journal, Royal Economic Society, vol. 110(462), pages 109-122, March.
    13. Charles I. Jones, "undated". "Population and Ideas: A Theory of Endogenous Growth," Working Papers 98014, Stanford University, Department of Economics.
    14. Judd, Kenneth L, 1985. "On the Performance of Patents," Econometrica, Econometric Society, vol. 53(3), pages 567-585, May.
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    More about this item

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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