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Long-term growth driven by a sequence of general purpose technologies

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  • Schaefer, Andreas
  • Schiess, Daniel
  • Wehrli, Roger

Abstract

We present a Schumpterian model of endogenous growth with General Purpose Technologies (GPTs) that captures two important historical stylized facts: First, from the beginning of mankind until today GPTs are arriving at an increasing frequency and, second, all GPTs heavily depended on previous technologies. In our model, the arrival of GPTs is endogenous and arises stochastically depending on the currently available applied knowledge stock. This way of endogenizing the arrival of new GPTs allows for a model which is more in tune with the historical reality than the existing GPT models.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecmode:v:37:y:2014:i:c:p:23-31
    DOI: 10.1016/j.econmod.2013.10.014
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    2. Gangopadhyay, Kausik & Nishimura, Atsushi & Pal, Rupayan, 2016. "Can the information technology revolution explain the incidence of co-movement of skill premium and stock prices?," Economic Modelling, Elsevier, vol. 53(C), pages 107-120.
    3. Andrea Bastianin & Paolo Castelnovo & Massimo Florio & Anna Giunta, 2019. "Technological Learning and Innovation Gestation Lags at the Frontier of Science: from CERN Procurement to Patent," Papers 1905.09552, arXiv.org.
    4. Marianna Epicoco & Magali Jaoul-Grammare & Anne Plunket, 2020. "Technological novelty and productivity growth: a cliometric approach," Working Papers 04-20, Association Française de Cliométrie (AFC).
    5. Emmanuel Bovari & Victor Court, 2019. "Energy, knowledge, and demo-economic development in the long run: a unified growth model," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01698755, HAL.
    6. Appio, Francesco Paolo & Martini, Antonella & Fantoni, Gualtiero, 2017. "The light and shade of knowledge recombination: Insights from a general-purpose technology," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 154-165.
    7. Kemnitz, Alexander & Knoblach, Michael, 2020. "Endogenous sigma-augmenting technological change: An R&D-based approach," CEPIE Working Papers 02/20, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    8. Yang, Jun & Yang, Dingjian & Cheng, Jixin, 2024. "The non-rivalry of data, directed technical change and the environment: A theoretical study incorporating data as a production factor," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 417-448.
    9. Zheng, Yuelong & Zhou, Bingjie & Hao, Chen & Gao, Ruize & Li, Mengya, 2024. "Evolutionary game analysis on the cross-organizational cooperative R&D strategy of general purpose technologies under two-way collaboration," Technology in Society, Elsevier, vol. 76(C).
    10. Andrea Bastianin & Paolo Castelnovo & Massimo Florio & Anna Giunta, 2022. "Big science and innovation: gestation lag from procurement to patents for CERN suppliers," The Journal of Technology Transfer, Springer, vol. 47(2), pages 531-555, April.

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    More about this item

    Keywords

    Schumpeterian growth; Research and development; General Purpose Technologies;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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