Abstract
The concept of regional competitiveness is investigated taking into account the trends in the transition to Industry 4.0. The risk indicators analysis for the competitiveness increase of Russian regions was carried out. A systematization of indicators based on a cause-effect graph was proposed. The developed system of indicators allows us to identify competitive risks at the regional level. A simplified digital model of the cause-effect graph structure for competitiveness risks was presented. It is suggested to find a solution to the problem of high dimension by revealing the structures of minimal cut set in a causal graph. In this case, it is assumed that the reasons that trigger the chain of event-consequences realization which leads to the risk of a root event of the cause-effect graph should be identified. The minimal cut sets for the obtained graph of competitiveness factors that correspond to critical combinations of events and lead to a decrease in the region’s competitiveness were determined. The digital model was validated using the indicators values for the regions of the Volga Federal District as an example.
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This research was partially supported by the Russian Fund of Basic Research (grant No. 20-010-00465).
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Veshneva, I., Chernyshova, G., Bolshakov, A. (2021). Regional Competitiveness Research Based on Digital Models Using Kolmogorov-Chapman Equations. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Society 5.0: Cyberspace for Advanced Human-Centered Society. Studies in Systems, Decision and Control, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-63563-3_12
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