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Growth cycles with technology shifts and externalities

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  • Eriksson, Clas
  • Lindh, Thomas

Abstract

This paper investigates a model with technological cycles induced by shifts in technologies. The key feature is that technological development occurs partly by discrete replacement of obsolete technologies, partly by continuous innovation of components for a pervasive general purpose technology. The technological system is explicitly modeled as a complex interrelation between distinct constituents. By allowing for positive technological externalities, closed form analytical solutions for different phases can be obtained, the timing of technology shifts endogenized and a simple characterization of stationary cycles is achieved. This contributes to realism and analytical tractability. The model is capable of reproducing features of e.g. the shift to computer technology.
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Suggested Citation

  • Eriksson, Clas & Lindh, Thomas, 2000. "Growth cycles with technology shifts and externalities," Economic Modelling, Elsevier, vol. 17(1), pages 139-170, January.
  • Handle: RePEc:eee:ecmode:v:17:y:2000:i:1:p:139-170
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    1. Avinash Dixit & James Mirrlees & Nicholas Stern, 1975. "Optimum Saving with Economies of Scale," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(3), pages 303-325.
    2. Helpman, Elhanan & Rangel, Antonio, 1999. "Adjusting to a New Technology: Experience and Training," Journal of Economic Growth, Springer, vol. 4(4), pages 359-383, December.
    3. Alwyn Young, 1998. "Growth without Scale Effects," Journal of Political Economy, University of Chicago Press, vol. 106(1), pages 41-63, February.
    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. Zvi Griliches, 1998. "Productivity, R&D, and the Data Constraint," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 347-374, National Bureau of Economic Research, Inc.
    6. repec:adr:anecst:y:1998:i:49-50:p:02 is not listed on IDEAS
    7. Shleifer, Andrei, 1986. "Implementation Cycles," Journal of Political Economy, University of Chicago Press, vol. 94(6), pages 1163-1190, December.
    8. Segerstrom, Paul S, 1998. "Endogenous Growth without Scale Effects," American Economic Review, American Economic Association, vol. 88(5), pages 1290-1310, December.
    9. M. L. Weitzman, 1970. "Optimal Growth with Scale Economies in the Creation of Overhead Capital," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 37(4), pages 555-570.
    10. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    11. Nahuis, R., 1998. "The Dynamics of a General Purpose Technology in a Research and Assimilation Model," Discussion Paper 1998-119, Tilburg University, Center for Economic Research.
    12. Ricardo J. Caballero & Adam B. Jaffe, 1993. "How High Are the Giants' Shoulders: An Empirical Assessment of Knowledge Spillovers and Creative Destruction in a Model of Economic Growth," NBER Chapters, in: NBER Macroeconomics Annual 1993, Volume 8, pages 15-86, National Bureau of Economic Research, Inc.
    13. Philippe Aghion & Peter Howitt, 1999. "On the Macroeconomic Effects of Major Technological Change," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 25, pages 15-32.
    14. Judd, Kenneth L, 1985. "On the Performance of Patents," Econometrica, Econometric Society, vol. 53(3), pages 567-585, May.
    15. Eriksson, Clas, 1996. "Market failures in the R&D growth model with endogenous labor supply," Journal of Public Economics, Elsevier, vol. 61(3), pages 445-454, September.
    16. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
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    Cited by:

    1. Daniel Schiess & Roger Wehrli, 2011. "Long-Term Growth Driven by a Sequence of General Purpose Technologies," CER-ETH Economics working paper series 11/148, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    2. Дементьев В.Е., 2013. "Структурные Факторы Технологического Развития," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(4), pages 33-46, октябрь.
    3. Nahuis, R., 1998. "The Dynamics of a General Purpose Technology in a Research and Assimilation Model," Other publications TiSEM 001a5f0f-16ac-4e0a-957c-8, Tilburg University, School of Economics and Management.
    4. Daniel Schiess & Roger Wehrli, 2008. "The Calm Before the Storm? - Anticipating the Arrival of General Purpose Technologies," CER-ETH Economics working paper series 08/81, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    5. Schaefer, Andreas & Schiess, Daniel & Wehrli, Roger, 2014. "Long-term growth driven by a sequence of general purpose technologies," Economic Modelling, Elsevier, vol. 37(C), pages 23-31.
    6. Gomes, Orlando, 2015. "Optimal resource allocation in a representative investor economy," Economic Modelling, Elsevier, vol. 50(C), pages 72-84.
    7. Tsutomu Harada, 2010. "The division of labor in innovation between general purpose technology and special purpose technology," Journal of Evolutionary Economics, Springer, vol. 20(5), pages 741-764, October.

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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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