Development of a neural network model of economic clustering for analysis of the investment attractiveness of enterprises

Malov D.N.1, Letyagina E.N.1
1 Национальный исследовательский нижегородский государственный университет им. Н.И. Лобачевского, Russia

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Journal paper

Creative Economy (РИНЦ, ВАК)
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Volume 13, Number 8 (August 2019)

Citation:

Malov, D. N., & Letyagina, E. N. (2019). Development of a neural network model of economic clustering for analysis of the investment attractiveness of enterprises. Creative Economy, 13(8), 1529-1536. https://doi.org/10.18334/ce.13.8.40931

Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=39347492
Cited: 10 by 31.03.2023

Abstract:
In modern Economics, great importance is paid to the use of mathematical modeling methods during the analysis of investment processes, determining the investment attractiveness and efficiency of investment activities, calculation of investment risks. The article presents a model of economic clustering, developed using the theory and scientific and methodological tools of neural network modeling. The developed neural network model of clustering allows to determine the investment attractiveness of enterprises in different sectors of the economy, their cost and net profit, taking into account the influence of all elements of the system of economic relations. This model can be used to assess the investment attractiveness of meso-economic systems and management decision-making by investors, owners and management companies, including their product and territorial diversification.

Keywords: cluster approach, economic development, investment attractiveness, cluster model, neural network model

JEL-classification: O31, O33, O32

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