Information Model for Calculating the Rate of Technical Progress

Askar Akaev (), Andrei Rudskoy (), Bulat Khusainov and Zoltan Zeman ()
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Askar Akaev: Institute for Mathematical Research of Complex Systems, Lomonosov Moscow State University
Andrei Rudskoy: Peter the Great Saint Petersburg Polytechnic University
Zoltan Zeman: Szent Istvan University

A chapter in Digital Transformation and the World Economy, 2022, pp 23-39 from Springer

Abstract: 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.

Keywords: Digital technologies; Digital economy; Information model of the technical progress (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-89832-8_2

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