Home  Journals  Finance and Credit  9(801) - 2020 September

Stochastic optimization of economic, financial, information, and logistics inter-cluster cooperation

Received: 19 June 2020

Received in revised form: 3 July 2020

Accepted: 17 July 2020

Available online: 29 September 2020

Subject Heading: INVESTING

JEL Classification: C63, E17, O21, O36

Pages: 1928–1950

https://doi.org/10.24891/fc.26.9.1928

Subject. This article deals with the simulation technologies based on the principles of stochastic optimization. They can bring a significant financial effect in the planning of investment development of both individual innovation and industrial clusters and federal districts of the country.
Objectives. The article aims to investigate the mechanisms of inter-cluster cooperation within a single district.
Methods. For the analysis, we used a stochastic optimization model in view of economic, financial, information, and logistics inter-cluster cooperation within a single federal district.
Results. The considered stochastic optimization model of economic, financial, information, and logistics inter-cluster cooperation shows that the increase in fixed investment does not always cause population growth in the federal district regions.
Conclusions. The use of a digital twin mechanism of inter-cluster cooperation can help avoid premature unreasonable public policy management decisions regarding the further development of innovation and industrial clusters.

Keywords: stochastic optimization, digital twin, inter-cluster cooperation

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