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The purpose of this paper is to substantiate the perspectives of using remote education as a means of restoring Russian recessing regions’ economy and develop framework recommendations for this.

The set goal is achieved by finding the dependence of the values of indicators of socio-economic development on the level of development of education in Russian regions. The methods of regression and correlation analysis are used for that.

The findings showed a moderate direct connection between the development of education and socio-economic position of the region if found. Qualitative analysis allowed substantiating large perspectives of using remote education as a means of restoring Russian recessing regions’ economy, which have two manifestations. The first one is related to the increase of accessibility of educational services in Russian regions. Due to this, the potential of development of region’s human potential is better realized. Being one of the key resources in the conditions of knowledge economy, human resources stimulate the activation of entrepreneurial activities, growth of labor efficiency and innovational activity of region’s companies. The second manifestation envisages the formation of entrepreneurship in the sphere of remote education as a growth vector and source of competitive advantages of recessing region’s economy. This opens possibilities for the formation of knowledge economy in region and supporting its high competitiveness. Low capital intensity of entrepreneurship in the sphere of remote education makes it accessible for development even in recessing regions, stimulating the growth of the volume of tax revenues into the regional state budget and formation of its positive balance.

For the practical implementation of the determined large perspectives of using remote education as a means of restoring Russian recessing regions’ economy, authors’ framework recommendations are offered, which are aimed at the improvement of normative and legal conditions for the conduct of entrepreneurial activities in the sphere of remote education, information support for this entrepreneurship and its marketing support and promotion as a basis of region’s economy’s competitiveness.

To determine the influence of the development of clustering of the national business environment on the level of digital competitiveness.

The research was performed using the following methods: statistical analysis, correlation analysis and comparative analysis.

We study the influence of the development of clustering of the national business environment on the level of digital competitiveness. It is revealed that the studied developed countries (Singapore, Denmark and Switzerland) demonstrate a high level of clustering of business, which is assessed through the use of the indicator ‘State of сluster development’, and a high level of digital competitiveness. The considered developing countries (Peru, Mexico and the Philippines) have medium values of the above variables. Only Peru was able to use a highly effective mechanism of clustering, which influenced the digitalisation of sectors of the economy, which have business clusters. We also describe the competitive advantages of the development of cluster entrepreneurial structures, which ensure their economic and market success.

The scientific novelty of the results obtained is due to the elaboration on the specifics of the influence of the cluster strategy of business integration on the level of national digital competitiveness.

The purpose of this chapter is to study the conceptual provisions of the theory of information economy and to determine its notion and essence.

The research methodology is based on the application of traditional methods of economic science, including the methods of systemic, problem, and comparative analysis, method of analysis of causal connections, systematization, classification, and formalization of scientific data.

The authors systematize the existing conceptual provisions of the theory of information economy and classify the conceptual approaches to its study as process approach, resulting approach, and combined approach; a comparative analysis of these approaches is also conducted.

The authors conclude that the evolutional development of modern socio-economic systems is dominated by the information economy concept, which should be the basis of the future developmental model of the global economic system. This concept develops within the combined approach, based on the previous concepts of digital economy and internet economy, which is a part of the process approach proclaiming technological capital, the key factor of reproduction, by focusing on the development of socio-economic systems and the concept of knowledge economy, which is a part of the resulting approach that emphasizes human capital and innovations as a target result of the development of economic systems. The information economy concept includes the features of previous concepts, emphasizes the importance of technological and human capital, applies information and communication technologies, and achieves results that are connected to highly effective creation, storage, distribution, and usage of information. It also supplemented them with a new sense of proclaiming information on the most valuable resources as well as provision of free and continuous interaction of economic subjects – the highest priority of socio-economic systems.

The purpose of this chapter is to develop the indicators that are necessary for monitoring and controlling the efficiency of the process of implementation of information economy’s optimization model. For this, the authors used general scientific research methods – systemic, problem, structural, and functional analysis to determine the key components of balancing, along with a specific method of economics – the balance method – for determining the method of balancing of indicators.

On the basis of the complex analysis performed with the application of the above methods, the authors determined the main indicators of efficiency of the process of implementation of information economy’s optimization model essential for its successful monitoring and control. These indicators are systematized in connection to the noosphere levels and are presented in this work. The offered indicators of efficiency of the process of implementation of the information economy’s optimization model are recommended for systemic national and international monitoring and control during model implementation. The indicators for the current year, in comparison with the dynamics of previous years, could be used. The balance coefficients pose the largest value and provide the highest level of information as they reflect the results of analysis of intermediary indicators and offer information in the form that is ready for regulators. The offered indicators have to supplement the indicators used for evaluating the efficiency of economy’s formation according to the its old model.

The indicators offered in this chapter focus on the balance model of information economy, however to compile a complete picture on the progress of its formation requires consideration of the values of the indicators used within the old model.

The purpose of this chapter is to determine the basic preconditions to information economy’s formation in modern Russia.

The methodology of the research includes the method of comparative analysis, which is used for comparing the values of the indicators of informatization of Russia’s socio-economic system to the indicators of other countries, and the method of trend analysis, which is used for determining the growth rate of these indicators in Russia.

The authors study the dynamics of the values of the indicators of information economy in Russia in 2008-2017 and determine three basic preconditions to the formation of information economy in modern Russia. The first precondition is related to the necessary normative and legal provision of information economy that determines the course at its formation. The second one is related to the readiness of infrastructural provision (mobile communications, the Internet, the system of e-commerce, and online payments) for formation of information economy. The third precondition is vivid progress in informatization of the socio-economic system, as a result of which Russia exceeds the average global level.

It is concluded that Russia has quickly implemented the strategy of modernization of the socio-economic system, creating a platform for formation of information economy.

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.

The purpose of this chapter is to compile the expected scenarios of development of digital economy in modern Russia and determine the essence and peculiarities of the optimal scenario implementation.

The research is based on the Theory of Games, which is used for comparison of expected scenarios of development of digital economy in modern Russia. A criterion of optimality of the scenario of development of digital economy in modern Russia in this work is effectiveness of its implementation, determined by comparing the results and expenditures in view of probability of each possible sub-scenario.

The performed scenario analysis of development of digital economy in modern Russia showed that the most effective and, therefore, optimal scenario is the one that envisages implementation of the offered new model of a well-balanced digital economy. Despite the fact that probability was determined only for sub-scenarios, within each distinguished scenario, (for determining confidence intervals of the values of indicators) which were not compared with the level of their probability, the given optimal scenario envisages the largest changes compared to the current set course of the formation of digital economy in Russia and hence is the least probable.

The established optimal expected scenario of development of digital economy, which envisages application of its new well-balanced model, is recommended for practical implementation in modern Russia. The given quantitative characteristics of the optimal scenario of development of digital economy in modern Russia could and should be recommended for usage as the basis for developing practical recommendations for monitoring and control of implementation of the optimization model of digital economy in modern Russia.

The purpose of this chapter is to develop a framework strategy for implementing the optimization model of information economy in modern Russia, aimed at its adaptation to the peculiarities of the Russian economic practice.

The methods of induction, deduction, synthesis, and systemic analysis are used, as along with goal-oriented approaches, such as the method of modeling of socio-economic systems, and the method of formalization.

The authors develop the framework strategy of implementing the optimization model of information economy in modern Russia that takes into account specifics of socio-economic development and informatization of the Russian economic system at the modern stage. This strategy differs from the strategy of formation of an information economy implemented in modern Russia. The most important difference is a wide and comprehensive balance, while the Russian economy is tolerant toward imbalance. The offered strategy allows refusing from copying economic practice implemented by other countries and determining own path of formation and development of information economy. This envisages the Russian treatment of the principles of implementing the innovational model of a well-balanced information economy. This treatment is based on the current possibilities of the Russian economy and on the set goal within the formation of an information economy. Due to this, the possibilities and needs of strategic development of information economy in modern Russia are balanced.

The developed framework strategy of implementing the optimization model of information economy in modern Russia is recommended for usage in the domestic economic practice.

The purpose of this chapter is to study the correlation of evolutional and revolutionary transformations in a socio-economic system in the conditions of the formation of an information economy by taking the example of modern Russia.

To distinguish these transformations by studying the information economy, based on the materials of reports and recommendations of the OECD and the World Bank, the indicators that show macro-economic transformations in a socio-economic system in the conditions of formation of an information economy and their control values that correspond to evolutional and revolutionary changes were determined. During the research, the authors used the method of comparative analysis for comparing the values of the indicators in modern Russia with the control values of the indicators that show macro-economic transformations in the socio-economic system in the conditions of the formation of an information economy and classify the corresponding transformations as evolutional and revolutionary. The information and analytical basis includes the materials of the reports of the Higher School of Economics, the OECD, the World Bank, the International Telecommunication Union, the World Wide Web Foundation, the Digital single market, the INSEAD, the WIPO, and the Cornell University.

As a result, it is concluded that the planned transformations in a socio-economic system in the conditions of formation of information economy by implementating the optimization model of this process have an evolutional characteristic. Herein, certain transformations have a revolutionary nature.

The authors determine that the largest revolutionary transformations are due for 2022–2025. However, their classification is caused not by high rate of growth of the indicators’ values but by their achievement of control values. Therefore, the largest socio-economic shifts in the economic system in the modern Russia due to the formation of an information economy will take place in 2019–2022. Hence, in this period, an anti-crisis management of this process should be conducted.