| PDF: |
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Author(s): |
Elovskaya M. A., Plotnikov V. A., |
| Number of journal: |
2(75) |
Date: |
June 2026 |
| Annotation: |
This article provides a theoretical and empirical
analysis of the transformation of the Russian economic system
under the influence of digital innovations in the context
of the fourth industrial revolution. The relevance of the study
lies in the need to quantitatively assess the nonlinear effects
of digitalization, in particular, the existence of a threshold
level of digital maturity, after which the returns on technology
implementation increase multiplicatively. The aim of the study
is to provide a theoretical and methodological substantiation
and empirical verification of a model of the impact of digital
innovations on labor productivity. The study was conducted using
data from 85 constituent entities of the Russian Federation for the
period 2014-2024. The methodological framework incorporates
the concepts of technological paradigms, innovation diffusion,
and econometric methods of panel data analysis, including
fixed-effects models and Hansen threshold regression.
The scientific novelty of the results obtained lies in the identification
and verification of the threshold value of the integrated index
of regional digital maturity, equal to 0.48 (assessed on a scale
from 0 to 1). Upon crossing this threshold, the impact of digital
innovation on labor productivity increases by 2.5-3.5 times.
Econometric modeling results show that the greatest potential
for efficiency gains comes from the implementation of artificial
intelligence technologies: the elasticity coefficient is 0.21
for the entire sample and reaches 0.31 for regions with a high
level of digital maturity. The theoretical significance of this
study lies in developing a theory of the digital transformation
of economic systems by introducing and substantiating the concept
of the digital maturity threshold as a quantitative characteristic
distinguishing between the linear and multiplicative impacts
of innovation. The practical significance of this study lies
in the potential use of the findings to adjust regional digital
development strategies. For regions with the index below
0.48, priority should be given to measures to create basic
digital infrastructure and develop digital competencies among
the population, while for regions that have crossed this threshold,
a shift in emphasis to the implementation of artificial intelligence
and big data processing technologies in key industries is advisable. |
| Keywords: |
digital innovations, digital transformation,
artificial intelligence, economic growth, labor productivity,
panel data, threshold effects, regional economy, cross-cutting
technologies, econometric modeling, digital maturity |
| For citation: |
Elovskaya M. A., Plotnikov V. A. Transformation of economic systems under the influence of digital innovations:
theoretical and applied aspects. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2026;2(75): 22—27. DOI: 10.25683/
VOLBI.2026.75.1653. |