Subject. This article discusses the issues of consumer market development. Objectives. The article aims to analyze the factors determining the volume and changes in retail trade turnover of the Kemerovo Oblast. Methods. For the study, we used the economic and mathematical research methods. Results. The article presents a cognitive model in the form of an oriented graph that helps assess the impact of various factors on the target indicator, namely retail turnover. It substantiates the expediency of using a cognitive modeling technology to study and forecast such macroeconomic indicators as the volume and changes in retail trade turnover. Conclusions. The best scenario for the development of the consumer market of the Kemerovo Oblast assumes the impulse impact on trade turnover of such factors as unemployment, the number of people employed (primarily in the field of trade), the consumer price index, and the poverty rate.
Keywords: cognitive modeling, forecasting, standard of living, consumer market
References:
Kozlova O.N., Sakhabutdinova A.E. [Assessing the standard of well-being using personal income and consumption measures: The Kemerovo Oblast – Kuzbass case study]. Regional'naya ekonomika: teoriya i praktika = Regional Economics: Theory and Practice, 2022, vol. 20, iss. 12, pp. 2241–2262. (In Russ.) URL: Link
Ivanova O.E., Kozlova M.A. [Scenario modeling of retail turnover based on cognitive analysis]. Vestnik Samarskogo gosudarstvennogo ekonomicheskogo universiteta = Vestnik of Samara State University of Economics, 2020, no. 1, pp. 50–54. URL: Link (In Russ.)
Axelrod R.M. The Structure of Decision: Cognitive Maps of Political Elites. Princeton, Princeton University Press, 1976, 404 p.
Avdonin B.N., Khrustalev E.Yu., Khrustalev O.E. [Cognitive methodology of knowledge structure for study and application of financial and economic innovation]. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience, 2013, vol. 6, iss. 35, pp. 2–13. URL: Link (In Russ.)
Belan A.K., Shmat V.V. [Analysis of resource and non-resource factors' influence on economic growth of Tomsk region using cognitive approach]. Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriya: Sotsial'no-ekonomicheskie nauki = Vestnik Novosibirsk State University. Series: Social and Economics Sciences, 2015, vol. 15, iss. 1, pp. 78–93. URL: Link (In Russ.)
Kryukov V.A., Shmat V.V. [Asian Russia – conditions for and obstacles to progressive diversification of macro-regional economy]. Prostranstvennaya ekonomika = Spatial Economics, 2022, vol. 18, no. 1, pp. 34–72. (In Russ.) URL: Link
Morozova M.E., Shmat V.V. [How to understand the mechanisms of resource dependence? Application of the cognitive modeling method in the study of the resource-dependent economy]. EKO = ECO, 2015, no. 6, pp. 146–159. URL: Link (In Russ.)
Morozova M.E., Shmat V.V. [Medium-term forecasting of the Russian economy using a cognitive model]. Problemy prognozirovaniya = Studies on Russian Economic Development, 2017, no. 3, pp. 19–25. URL: Link (In Russ.)
Kryukov V.A., Shmat V.V., Nefedkin V.I. et al. Resursnye regiony Rossii v “novoi real'nosti”: monografiya [Russia's resource regions in the "new reality": a monograph]. Novosibirsk, Institute of Economics and Industrial Engineering, Siberian Branch of RAS Publ., 2017, 307 p.
Roberts F.S. Discrete Mathematical Models with Applications to Social, Biological and Environmental Problems. New Jersey, Prentice-Hall, Inc., 1976, 560 p.
Zakharova A.A., Podvesovskii A.G., Isaev R.A. [Fuzzy cognitive models in management of semi-structured socio-economic systems]. Informatsionnye i matematicheskie tekhnologii v nauke i upravlenii = Information and Mathematical Technologies in Science and Management, 2020, no. 4, pp. 5–23. (In Russ.) URL: Link
Antonova N.E., Lomakina N.V., Faiman A.D. Prirodno-resursnyi sektor Dal'nego Vostoka Rossii: “proklyatie” ili lokomotiv razvitiya?: monografiya [The natural resources sector in the Russian Far East: a curse or a driver of development?: a monograph]. Khabarovsk, Economic Research Institute of Far Eastern Branch of RAS Publ., 2022, 336 p.
