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Development opportunities of the G20 nations and Russia

Vol. 15, Iss. 1, JANUARY 2019

Received: 25 September 2018

Received in revised form: 18 October 2018

Accepted: 14 November 2018

Available online: 16 January 2019

Subject Heading: INTERNATIONAL ECONOMIC RELATIONS

JEL Classification: C13, C43, E10, F15, F62

Pages: 124–139

https://doi.org/10.24891/ni.15.1.124

Smirnov V.V. I.N. Ulianov Chuvash State University (Chuv SU), Cheboksary, Chuvash Republic, Russian Federation
v2v3s4@mail.ru

https://orcid.org/0000-0002-6198-3157

Mulendeeva A.V. I.N. Ulianov Chuvash State University (Chuv SU), Cheboksary, Chuvash Republic, Russian Federation
alena-mulendeeva@yandex.ru

ORCID id: not available

Subject The article discusses growth drivers of the G20 and represents the cluster and neural network analysis of development opportunities of the G20.
Objectives The research identifies development opportunities of the G20 nations and outlines aspects for cooperation with Russia.
Methods The research is based on a systems approach, cluster and neural network analysis.
Results The cluster and neural network analysis involves the 2018–2023 forecast data on growth drivers of the G20 in terms of the International Monetary Fund. Cluster analysis revealed priority development drivers of the G20, while neural network analysis discerns three levels of their significance.
Conclusions and Relevance As part of the G20, Russia may place stake on Gross Domestic Product and gross national saving, which may be reinforced in cooperation with Indonesia, Germany, India and South Africa, Canada, Japan, Argentina, Italy, Saudi Arabia respectively. The findings can be reasonably used to establish international economic relationships and reduce the adverse effect of globalization challenges and their consequences.

Keywords: cluster analysis, neural network analysis, agglomeration order, factors, G20

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