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Information Model for Calculating the Rate of Technical Progress

In: Digital Transformation and the World Economy

Author

Listed:
  • Askar Akaev

    (Institute for Mathematical Research of Complex Systems, Lomonosov Moscow State University)

  • Andrei Rudskoy

    (Peter the Great Saint Petersburg Polytechnic University)

  • Bulat Khusainov

    (Economic Research Institute JSC)

  • Zoltan Zeman

    (Szent Istvan University)

Abstract

Classical models of economic growth have been modified due to new global economic trends that emerged under the influence of the large-scale digitization and robotization of today’s capitalist economy. In order to calculate prognostic dynamics of the technical progress (total factor productivity), we have provided the information model based on the use of different modes for producing technological information. The proposed model relies on the principle of forming and changing an amount of technological knowledge, Kurzweil’s law of accelerating returns (LARR) for ICT, and also particular provisions of the Isenson-Hartman model for describing informational dynamics. In addition, we have come up with the model for forecast calculations of ICT contribution into the technical progress under conditions of scarce resources. It is stated that the economic impact of digitization across economies will not occur immediately, but with a certain time lag.

Suggested Citation

  • Askar Akaev & Andrei Rudskoy & Bulat Khusainov & Zoltan Zeman, 2022. "Information Model for Calculating the Rate of Technical Progress," Studies on Entrepreneurship, Structural Change and Industrial Dynamics, in: Andrei Rudskoi & Askar Akaev & Tessaleno Devezas (ed.), Digital Transformation and the World Economy, pages 23-39, Springer.
    • Handle: RePEc:spr:seschp:978-3-030-89832-8_2
    DOI: 10.1007/978-3-030-89832-8_2
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    Cited by:

    1. B. D. Khusainov & A. A. Shirov & N. A. Baizakov, 2022. "The Quality of Growth and Digitalization in the Eurasian Integration Countries: An Econometric Analysis," Studies on Russian Economic Development, Springer, vol. 33(5), pages 547-554, October.

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