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1 – 10 of 14Larisa V. Popova, Tatiana A. Dugina, Natalia N. Skiter and Ivan S. Korabelnikov
The purpose of this chapter is to develop the algorithm of the strategy of implementing the information economy’s optimization model in modern Russia.
Abstract
Purpose
The purpose of this chapter is to develop the algorithm of the strategy of implementing the information economy’s optimization model in modern Russia.
Methodology
The method of systemic, problem, and logical analysis, synthesis, and the method of compilation of block schemes are used.
Results
The algorithm of the strategy of implementing the information economy’s optimization model in modern Russia is presented. It has a cyclic characteristic and is variable, successfully adapting the conceptual model of a well-balanced information economy to the practical peculiarities of the social system of modern Russia and ensuring flexibility of the developed strategy of its application in the Russian economic practice. The offered algorithm of the strategy of implementing the information economy’s optimization model in modern Russia is a logical continuation of the developed strategy, supplementing its scientific and theoretical significance with the possibilities and perspectives of successful practical application. The offered algorithm shows clarity and simplicity of the general internal structure of the process of implementing this strategy with a simultaneous high complexity of specific measures.
Recommendations
The developed algorithm explains the logic of successful realization of the strategy of implementing the optimization model of a well-balanced information economy in modern Russia and is recommended for usage as a practical guide for implementing this strategy.
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Anastasia A. Kurilova, Olga G. Zinovyeva, Larisa V. Popova and Svetlana Y. Shaldokhina
The purpose of the chapter is to determine social consequences of crises of economic systems and to evaluate the risks of transition of economic crisis from a stimulator of…
Abstract
Purpose
The purpose of the chapter is to determine social consequences of crises of economic systems and to evaluate the risks of transition of economic crisis from a stimulator of economic development into source of social problems and, in particular, into social crisis.
Methodology
The authors use the methods of horizontal and trend analysis, as well as the method of regression analysis for determining the dependence of the index of happiness, calculated by the New Economic Foundation, on the growth rate of GDP in current prices according to the International Monetary Fund (IMF). In addition to this, regression analysis of dependence of unemployment rate according to the IMF on the index of economy digitization, calculated by Cisco, in 2018 is determined. The objects of the research are the leading developed countries (G7) according to the classification of the IMF and countries of BRICS (as representatives of developing countries).
Conclusions
As a result of the research, it is determined that traditionally studied indirect indicator of social consequences of innovational development of economy after the 2008 crisis – unemployment rate – is not very informative and is less studied; the index of happiness – which describes public moods with high precision – showed reverse dependence on growth of GDP in constant prices and on digitization of economy. The example of the 2008 crisis showed that developed and developing countries had new social problems in the period of post-crisis restoration of economy; these problems became more clearly expressed than in the period of decline. In the mid-term (by 2020–2025), crisis might transform from stimulator of economic development into a source of social problems.
Originality/value
The obtained results emphasize priority of sustainability of development of economic systems in the economic and social aspects.
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Larisa A. Ilyina, Dmitry L. Skipin, Lilia V. Ermolina and Tatyana N. Kochetova
Larisa A. Ilyina, Yuliya A. Panteleeva, Vladimir S. Tikhonov and Olga A. Babordina
Larisa A. Ilyina, Marina P. Garanina, Tatiana A. Ilyina and Olga P. Maslova
Larisa A. Ilyina, Vladimir S. Tikhonov, Anton N. Sunteev and Lyudmila D. Orlova