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The purpose of this paper is to specify the conceptual foundations of educational cooperation of universities and companies of Industry 4.0 for maximizing its efficiency.

For determining the efficiency of educational cooperation of universities and companies of Industry 4.0 in modern Russia, the authors use the information and analytical materials on the results of monitoring of effectiveness of the activities of educational organizations of higher education in 2018. They use the indicators of the number of cooperation agreements and efficiency of cooperation – employment of graduates and the share of non-budget assets in revenues from the educational activities. These indicators are studied with the help of the method of regression analysis. The objects of the research are the flagship universities of the Central and the Southern Federal District of the Russian Federation.

Low efficiency of the educational cooperation of universities and companies of Industry 4.0 in modern Russia is observed. The authors show by the example of the flagship universities of the Central and Southern Federal Districts of the Russian Federation in 2018 that multiple agreements on their cooperation with the companies of regions in which they are located do not ensure high values of the indicators of employment of their graduates and the share of non-budget assets in revenues from the educational activities.

An algorithm of developing the educational cooperation of universities and companies of Industry 4.0 and a model of educational cooperation of universities and companies of Industry 4.0 are offered. The authors’ recommendations specify the conceptual foundations of the educational cooperation of universities and companies of Industry 4.0, as they orient the participants of this cooperation at achievement of specific formalized results and show the mechanism of achieving them.

The purpose of this chapter is to compile the expected scenarios of development of information economy in the global economic system, determine the role of scenario that envisages practical implementation of the new model of a well-balanced information economy among these scenarios according to the criterion of effectiveness and probability, and select and substantiate the optimal scenario.

Due to the absence of initial statistical information that allows characterizing the basic conditions for further development of information economy in the global economic system, the method of stochastic modeling is used for describing forecast scenarios in this chapter. This method is used due to its applicability for forecast analysis in the conditions of uncertainty. With the help of this method, qualitative description of the expected scenarios of development of information economy in the global economic system is accompanied by selected quantitative characteristics, which are conventional, that is, they are given for comparing various scenarios, not for specifying a precise value of estimate indicators. Comparison of the expected scenarios of development of information economy in the global economic system is conducted using comparative analysis method.

It is concluded that the most effective and optimal scenario is the one that supposes implementation of the offered new model of a well-balanced information economy – despite its lower probability as compared to the other scenarios.

The set optimal expected scenario of development of information economy, which envisages application of its new well-balanced model, is recommended for practical implementation in the modern economic systems.

Using the example of Russia, this paper studied and analyzed productivity of the labor force in agriculture as an important industry for ensuring the sustainable development of the country.

At the first examination stage, the time series of data on labor productivity and real wages in agri-food companies were examined as modern works on the matter tend to highlight the relationship between productivity and remuneration insufficiently. At the second stage, labor productivity was assessed through the rate of change in the share of wages in the gross domestic product. At the last stage, an applied model of the relationship between labor productivity in agriculture and various impact factors was developed.

It showed that the efficiency of the labor force in the considered area depends greatly on technical equipment and crop yield. Besides, the study findings revealed that the traditional economic relationship between productivity and wages is invalid in the examined regions of Russia. There is a significant reserve for increasing labor productivity by providing additional motivation for employees.

The successful development of agricultural production can be achieved by implementing innovations, facilitating digitalization, attracting investments, increasing the level of interest of those employed in labor results and producing high-quality goods.