BUILDING A MODEL FOR RANKING COUNTRIES BY THE PARAMETERS OF “ECONOMIC GROWTH”, “CLUSTERING” IN THE LEADING COUNTRIES BY THE LEVEL OF CLUSTERING

UDC 334.722

  • Timofeeva Yuliya Aleksandrovna – PhD (Economics), Head of the Department of International Scientifiс, Technical and Innovative Cooperation. Belarusian Institute of System Analysis and Information Support of Scientific and Technical Sphere (7, Pobediteley Ave., 220004, Minsk, Republic of Belarus). E-mail: timofeeva@belisa.org.by

Key words: cluster, rating by the parameters “economic growth”, “clustering”, correlation and regression analysis, costs for R&D, administrative and territorial European units.

For citation: Timofeeva Yu. A. Building a model for ranking countries by the parameters of “economic growth”, “clustering” in the leading countries by the level of clustering. Proceedings of BSTU, issue 5, Economics and Management, 2021, no. 2 (250), pp. 134–137 (In Russian). DOI: https://doi.org/10.52065/2520-6877-2021-250-2-134-137.

Abstract

Economic growth is the target setting for all countries in modern conditions. As a rule, the growth vector is associated with technical and technological modernization, with the transition to digitalization, to digital platforms. But with this approach to economic growth, the need to change the organizational and technological interactions between both the factors of production and the economic entities themselves is completely overlooked. In other words, the transformation of the organizational and economic landscape that ensures economic growth is being missed. In modern conditions, the cluster is becoming the organizational form that creates conditions for enterprises to achieve high production efficiency, provides them with significant competitive advantages, and, in general, contributes to increasing the country’s competitiveness in the world economy [1]. This article, based on the correlation and regression analysis, shows the relationship between the rates of economic growth (GDP) and the clustering of the national economy using the example of countries that have achieved significant success in clustering processes.

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