Random interaction effect of digital transformation on general price level and economic growth
Byung Gwun Choy
The paper attempts to evaluate the impact of digital transformation on productivity using a multi-level structure model of a random effect based on the Bayesian approach to cross section data. Digital transformation significantly raised general price levels in Russia and had consistently significant positive effects upon economic growth through the random interaction effect. Therefore, in Russia in 2018, digital transformation played a role as a driver of technological progress that prompted economic growth rather than economic stability.
Year of publication: |
2020
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Authors: | Choy, Byung Gwun |
Published in: |
Foresight and STI governance : journal of the National Research University - Higher School of Economics. - Moskva : [Verlag nicht ermittelbar], ISSN 2312-9972, ZDB-ID 2839103-2. - Vol. 14.2020, 1, p. 29-47
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Subject: | digital transformation | economic growth | technological progress | effects estimation | random interactions | Wirtschaftswachstum | Economic growth | Digitalisierung | Digitization | Technischer Fortschritt | Technological change | Theorie | Theory |
Saved in:
freely available
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.17323/2500-2597.2020.1.29.47 [DOI] hdl:10419/250168 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012183278
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