St. Petersburg, Russian Federation
This article presents the results of the development of a quantitative comparative assessment of the innovation potential of the countries of the world based on the use of correlation and regression analysis. A study of several samples of countries around the world showed that the most significant impact on the share of added value of high-tech production in industry is the unemployment rate, the logistics efficiency index and the share of research and development spending in GDP. Based on the results of building a regression model, the relative strength of the influence of each of the factors on the indicator of innovation activity in the form of delta coefficients, which were used as weights for calculating an integral assessment of the country's innovation potential, was estimated. Using the obtained tool, 70 selected countries of the world were ranked by the level of development of innovative potential.
inovative development of the Russian economy, innovation potential, assessment of the innovation potential of the countries of the world, correlation and regression analysis of factors of innovation activity, knowledge economy
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