2019 №2 (63) Article 17

E.Yu. Liskina, A. S. Andreev 

MATHEMATICAL MODELING OF THE INDUSTRIAL POTENTIAL OF RUSSIAN REGIONS

UDC 51:338.4(47)

 

The article presents a statistical explanation of a multivariate regression model of the industrial potential of Russian regions. It is expected that endogenous variables of the industrial potential are gross regional product per capita, as well as the input value of fixed assets of the manufacturing industry per capita. The article investigates the period of 2010-2016. It focuses on statistically significant industrial potential, financial potential, labor potential, and infrastructure potential which influence endogenous characteristics of industrial potential. It turns out that gross regional product per capita is a statistically significant factor which influences the value of fixed assets of manufacturing industry per capita, foreign investments per capita, and employment rate. Statistical significance is attached to the depreciation of fixed assets, the amount of investments to gross regional product, energy production capacity. The article assesses regression coefficients of multiple linear regression equations and their statistical characteristics during every period. The article determines dynamic coefficients. It provides a plan of further research which will enable one to determine regional differences in the development of the industrial potential of Russian regions.

 

integral index; coefficient; linear regression; industrial potential; econometric modeling

REFERENCES

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