Abstract
Purpose: The purpose of the article is to determine the current influence of mutual foreign trade of Russia and China on provision of their global competitiveness and to develop recommendations for optimizing the cooperation between these countries on the basis of development of international regional integration and technological exchange in the interests of their accelerated transition to Industry 4.0 and maximization of contribution of foreign economic activities in provision of public well-being. Methodology: The author uses the methods of structural & functional and regression analysis. These methods allow determining the role of mutual trade of Russia and China in provision of their global competitiveness. Also, a method of modeling of economic processes is use for developing a concept of development of international cooperation of Russia and China. Results: It is determined that as of now Russia and China conduct active mutual trade. China is one of the key foreign economic partners of Russia, accounting for 25% of Russia’s export and 20% of import. Cooperation of these countries is a significant factor of provision of their global competitiveness. Recommendations: An author’s concept is developed for increasing the effectiveness of this cooperation. The advantages of regional integration and technological exchange of Russia and China on the basis of digital modernization and transition to Industry 4.0 for supporting their global competitiveness include joint conduct and distribution of risks of R&D (with a possibility of using the mechanism of public-private partnership), joint entering the world markets with unification of reputational capital, and well-balanced development of regional economy of Russia and China.
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Sukhodolov, Y.A. (2020). Cooperation of Russia and China: International Regional Integration and Technological Exchange in the Interests of Supporting Global Competitiveness. In: Popkova, E. (eds) Growth Poles of the Global Economy: Emergence, Changes and Future Perspectives. Lecture Notes in Networks and Systems, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-15160-7_16
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