Preview

World of Economics and Management

Advanced search

Synergy of Investment Projects: A Cognitive Approach

https://doi.org/10.25205/2542-0429-2022-22-3-51-65

Abstract

An important part of the analysis of economic growth of regions is the study of the investment distribution within industries and Russian Federation regions. Carefully considered construction of extra value sequences can create positive impulses because of the synergetic effects of investment projects. The purpose of the study is to analyze the synergetic effects of regional investment projects and impulse modeling their effects on Russian economic system. Finding such effects requires complex mathematical models implementation, and usually it cannot describe all existing investment relationships. Cognitive modeling methods can become the solution of stated problem. Cognitive modeling is a combination of mathematical approaches and expert assessments. The following study includes multidimensional factor statistical analysis, which was applied to construct a cognitive map for impulse modeling. Based on investment projects in Russia, there were identified 4 main generalized economic factors. These factors were sets of closely interrelated industries. Complied factors were energy and chemical industry, mining and processing of minerals and mechanical engineering, quality of life, metalworking and woodworking. four main scenarios of investment impulses in the constructed factors were also evaluated. The growth of investment flows in the “quality of life” factor was chosen as the optimality criterion. It was revealed that the development of metal- and wood-processing provides the biggest positive effect. The conducted research shows the importance of investment synergy studying and describes a methodological approach to perform calculations.

About the Authors

M. A. Yagolnitser
Institute of Economics and Industrial Engineering SB RAS
Russian Federation

Miron A. Yagolnitser, Candidate of Economic Sciences, Leading Researcher

Novosibirsk

AuthorID 73662
Scopus 6504173202
WoS A-7489-2018



M. A. Ovsiannikova
Institute of Economics and Industrial Engineering SB RAS; Novosibirsk State University
Russian Federation

Maria A. Ovsiannikova, engineer

Novosibirsk



A. V. Kostin
Institute of Economics and Industrial Engineering SB RAS; Novosibirsk State University
Russian Federation

Andrey V. Kostin, Candidate of Economic Sciences, Senior Researcher

Novosibirsk

AuthorID 696438

Scopus 57206934882



References

1. Kostyukovich N. V. The multiplier effect in the Russian economy. The Bulletin of TvSU. The series “Economics and Management”, 2016, No. 1, pp. 33-41. (in Russ.)

2. A unified plan for achieving the national development goals of the Russian Federation for the period up to 2024 and for the planning period up to 2030. Government of the Russian Federation, October 1, 2021. 308 p. (in Russ.)

3. Pirson K. On lines and planes of closest fit to systems of pointsin space. Phil.Mag., 1901, no. (6), 2, pp. 559–572.

4. Hotelling H. Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 1933, no. 24, pp. 417–441, 498– 520.

5. Axelrod R. The Structure of Decision: Cognitive Maps of Political Elites. NJ: Princeton University Press, 1976. 404 p.

6. Ginis L. A. Origins of modern cognitive modeling. Izvestiya sfedu. Engineering sciences, 2005, vol. 50, No. 6, pp. 119–128. (in Russ.)

7. Morozova M. E., Shmat V. V. Medium-term forecasting of the Russian economy using a cognitive model. Studies on Russian Economic Development, 2017, No. 3, pp. 19–25. (in Russ.)

8. Roberts F. S. Discrete mathematical models, with applications to social, biological, and environmental problems. M.: Science, 1986. (in Russ.)

9. Zakharova E. N. About cognitive modeling of sustainable development of socioeconomic systems. The Bulletin of the Adygea State University. Series 1: Regional Studies: philosophy, history, Sociology, law, political science, cultural studies, 2007, no. 1, pp. 184–190. (in Russ.)

10. Belan A. K., Shmat V. V. Analysis of resource and non-resource factors’ influence on economic growth of Tomsk Region using cognitive approach. The Bulletin of Novosibirsk State University. Series: Socio-economic Sciences. 2015. vol. 15, no. 1, pp. 78–93. (in Russ.)


Review

For citations:


Yagolnitser M.A., Ovsiannikova M.A., Kostin A.V. Synergy of Investment Projects: A Cognitive Approach. World of Economics and Management. 2022;22(3):51-65. (In Russ.) https://doi.org/10.25205/2542-0429-2022-22-3-51-65

Views: 318


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2542-0429 (Print)
ISSN 2658-5375 (Online)