The article examines the dependence of the growth rates of labor productivity on the growth rates of investments in fixed assets in Russian agriculture. The approach used in this work to assess the intensity of innovation activity in agriculture is based on the ratio of investment efforts and the resulting dynamics of labor productivity. It is revealed that in the period from 2013 to 2017, the growth rates of investments in fixed assets significantly exceeded the growth rates of productivity in the industry. The study of the dependence of the growth rates of labor productivity on the growth rates of investments in fixed assets showed a rather close relationship between these indicators (the correlation coefficient R = 0.57). The average coefficient of elasticity shows that given a change in the growth rate of investment in fixed assets by 1% of its average value, the growth rate of labor productivity in the period from 2013 to 2017 changed on average by 0.059%. The situation in Russian agriculture shows that in recent years, against the background of significant investments in fixed assets and growth of physical capital, the quality of this capital remained at a low level and could not ensure high and long-term growth in labor productivity. Additionally, an assessment of the intensity of innovation activity was conducted and an analysis of the factors was made, hindering the spread and introduction of breakthrough digital technologies.

The article describes new tendencies in capital outflow from Russia and for the first time attempts to study Russia’s parallel external economy which is forming as a result of quick development of Russian TNC. The author points out peculiarities of Russia’s external economy in comparison with other countries and assesses its influence on internal economy, foreign economic ties and foreign policy. On the basis of conducted analysis and foreign experience criteria for responsible state policy in respect to globalization of Russian business are formulated and measures on bringing together external and internal sectors of economy are proposed.

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The study focuses on the extent to which the technological factor affects economic growth and analyzes its role in enhancing socio-economic differentiation. We develop a methodology for ranking countries according to the level of their technological effectiveness using the specific index. Correlation and regression analysis is used to identify technological factors in economic development. Approbation of the approach took place on the example of the United States and China. The data obtained demonstrate that the increase in R&D costs and the export of high-tech products has a positive effect on economic growth. R&D spending provides 31.6 % to 41.9 % of GDP growth for the United States and China, respectively. Exports of high-tech products support GDP growth at the level of 2.7 % to 4.7 %. The research findings confirm that the technological factor encourages economic development through more efficient allocation of resources, the spread of innovations and the growth of high-tech exports. Regression models have proved this relationship. China ranks first in the index of technological effectiveness and is followed by the United States and Japan. Such countries as Kazakhstan, Brazil and Ukraine are lagging significantly behind some technologically advanced European nations (Romania, Poland, Bulgaria), as well as Turkey and Mexico. Analysis of data from a sample of 30 countries showed that technological differentiation is a direct cause of overall inequality. To bridge this technological gap, it is expedient to develop the existing technological potential in a consistent manner, while concentrating efforts on high-tech sectors capable of strengthening the foundation of the economy