The Use of Static Bayesian Networks for Situational Modeling of National Economy Competitiveness

Abstract

The article is devoted to the use of Bayesian networks to assess the impact of a complex of regional economic indicators on the competitive ability of the national economy. The paper shows that Bayesian networks (BN) allow us to identify the probabilistic dependence of the structure of economic indicators, which also include innovation and investment indicators of the regions, which can be analyzed in more detail using observations and sensitivity analysis of BN. In this study, it is shown how the multidimensional nature of the relationship with economic, investment-innovative and competitiveness indicators can be used as a decision support tool for politicians in the formation of strategic recommendations to improve the country's economic level.