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Technological opportunity, long-run growth, and convergence

Author

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  • GROWIEC, Jakub
  • SCHUMACHER, Ingmar

Abstract

We derive an R&D-based semi-endogenous growth model where technological progress depends on the available amount of technological opportunity. Incremental innovations provide direct increases in the knowledge stock but they reduce technological opportunity and thus the potential for further improvements. Technological opportunity can be renewed only by radical innovations (which have no direct impact on factor productivity). Investigating the model for its implications on economic growth leads to two basic observations. One, in the long-run, a balanced growth path with a constant and semi-endogenous long-run economic growth rate exists only in a specific knife-edge case which implies that technological opportunity and knowledge grow at equal rates. Two, the transition need not be monotonic. Specifically, we show under which conditions our model generates endogenous business cycles via complex dynamics without uncertainty.

Suggested Citation

  • GROWIEC, Jakub & SCHUMACHER, Ingmar, 2007. "Technological opportunity, long-run growth, and convergence," LIDAM Discussion Papers CORE 2007057, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:2007057
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    File URL: https://sites.uclouvain.be/core/publications/coredp/coredp2007.html
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    Cited by:

    1. Gersbach, Hans & Sorger, Gerhard & Amon, Christian, 2018. "Hierarchical growth: Basic and applied research," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 434-459.
    2. Pedro Mazeda Gil & André Almeida, & Sofia B.S.D. Castro,, 2015. "Flexible Transitional Dynamics in a Non-Scale Fully Endogenous Growth Model," CEF.UP Working Papers 1503, Universidade do Porto, Faculdade de Economia do Porto.
    3. Jakub Growiec, 2018. "The Digital Era, Viewed From a Perspective of Millennia of Economic Growth," KAE Working Papers 2018-034, Warsaw School of Economics, Collegium of Economic Analysis.
    4. Gil, Pedro Mazeda & Iglésias, Gustavo & Guimarães, Luís, 2023. "Endogenous growth and monetary policy: How do interest-rate feedback rules shape nominal and real transitional dynamics?," Journal of International Money and Finance, Elsevier, vol. 138(C).
    5. Liu, Taoxiong & Liu, Zhuohao, 2022. "A growth model with endogenous technological revolutions and cycles," Journal of Mathematical Economics, Elsevier, vol. 103(C).
    6. Daniel Nepelski & Giuditta De Prato, 2020. "Technological complexity and economic development," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 448-470, May.

    More about this item

    Keywords

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    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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