Moscow, Russian Federation
A development strategy, be it for an enterprise, industry, region, or country, needs to be supplemented with economic and mathematical methods and models. Strategizing uses econometric models of various types, including panel data models, vector autoregressions, methods of multivariate statistical analysis, structural models based on the input-output methodology, and agent-based models. In this study, stages and the categories of “forecast” and “strategy” were interpreted in accordance with the theory of strategy and the methodology of strategizing developed by Professor V.L. Kvint. By studying the methods for forecasting and modeling socio-economic objects, strategists select the necessary tools in line with the strategizing objectives. Quantitative methods and tools have their own application characteristics, depending on whether they are used for forecasting or strategizing. The strategizing process is divided into three stages: analysis, strategizing, and evaluation. Each stage has a specific range of problems, as well as economic and mathematical methods. The author reviewed scientific literature that described the practical experience in applying various methods at each stage. The review revealed no generally accepted classifications and recommendations for mathematical methods to be used to address a certain type of problem or at a specific stage of strategizing. The practice of using economic and mathematical tools in strategizing is just emerging. However, the quality of statistical data is often low, and long-time sets of indicators cannot be compiled with a unified methodology. In general, the use of economic and mathematical models in strategizing requires knowledge of theory, practical experience, and intuition.
strategy, region, strategic classification, economic and mathematical methods, cluster analysis, panel data, mathematical modeling, “input – output”
1. Ayvazyan SA. Analiz kachestva i obraza zhizni naseleniya (ehkonometricheskiy podkhod) [Quality and lifestyle of the population: econometric approach to analysis]. Moscow: Nauka; 2012. 432 p. (In Russ.)
2. Bakhtizin AR. The challenges of forecasting under current conditions. Economic Revival of Russia. 2023;76(2):53-62. (In Russ.) https://doi.org/10.37930/1990-9780-2023-2(76)-53-62
3. Vasiliev YuS, Kefeli IF. In search of a strategy for creating the future. Administrative Consulting. 2020;142(10):162-165. (In Russ.) https://doi.org/10.22394/1726-1139-2020-10-162-165
4. Vlasyuk LI. Study of the Russian Far East’s economy on the basis of input-output tables. Spatial Economics. 2006;(2):79-90. (In Russ.) https://doi.org/10.14530/se.2006.2.079-090
5. Vlasyuk LI. Digital inequality of the Russian regions: Strategic opportunities and threats. Russian Journal of Industrial Economics. 2023;16(1):59-68. (In Russ.) https://doi.org/10.17073/2072-1633-2023-1-59-68
6. Vlasyuk LI, Redko VV. Economic growth factors of the Russian Far East in 2000-2007. Spatial Economics. 2010;(4):32-41. (In Russ.) https://doi.org/10.14530/se.2010.4.032-041
7. Gavrilina DN. Strategic regionalization of infrastructure for funding small innovative enterprises. Economic Revival of Russia. 2020;65(3):110-121. (In Russ.) https://doi.org/10.37930/1990-9780-2020-3-65-110-121
8. Gerelishin RI. Applying the strategizing methodology at the regional level: opportunities and advantages. Administrative Consulting. 2023;172(4):93-107. (In Russ.) https://doi.org/10.22394/1726-1139-2023-4-93-107
9. Demidova OA. Spatial-autoregressive model for the two groups of related regions (eastern and western parts of Russia). Applied Econometrics. 2014;34(2):19-35. (In Russ.)
10. Demidova OA, Kayasheva EV, Demyanenko AV. Government spending on healthcare and economic growth in Russia: A regional aspect. Spatial Economics. 2021;17(1):92-122. (In Russ.) https://doi.org/10.14530/se.2021.1.097-122
11. Kvint VL. The concept of strategizing. 2nd ed. Kemerovo: Kemerovo State University; 2022. 170 p. (In Russ.) https://doi.org/10.21603/978-5-8353-2562-7
12. Kvint VL. The concept of strategizing. Vol. 2. St. Petersburg: NWIM RANEPA; 2022. 164 p. (In Russ.)
13. Kvint VL. Global emerging market: Strategic management and economics. Moscow: Biznes Atlas; 2012. 627 p. (In Russ.)
14. Kvint VL, Okrepilov VV. Teoriya i praktika vzaimosvyazi kategoriy “khoroshaya zhiznʹ” i “kachestvo zhizni” [Theory and practice of the relationship between the categories of “good life” and “quality of life”]. Ehkonomika kachestva [Quality Economics]. 2013;(4):1-16. (In Russ.)
15. Kolomak EA. Prostranstvennye ehksternalii kak resurs ehkonomicheskogo rosta [Spatial externalities as a resource for economic growth]. Region: Economics and Sociology. 2010;(4):73-87. (In Russ.)
16. Makarov VL, Bakhtizin AR. Sotsialʹnoe modelirovanie - novyy kompʹyuternyy proryv (agent-orientirovannye modeli) [Social modeling as a new computer breakthrough in agent-based models]. Moscow: Ehkonomika; 2013. 295 p. (In Russ.)
17. Polynev AO, Grishina IV. Methodological approaches to regions’ typology for working out the strategy of Russia’s spatial development. Regional Economy. South of Russia. 2019;7(1):29-41. (In Russ.)
18. Sasaev NI. The primary assessment of the economic efficiency of strategic directions of development of gas industry in Russia. Economics and Mathematical Methods. 2020;56(2):52-65. (In Russ.) https://doi.org/10.31857/S042473880009219-9
19. Khabriev BR, Bakhtizina NV, Bakhtizin AR. Approach to an integrated assessment of the effectiveness of the development strategy of the Russian oil industry. Russian Journal of Industrial Economics. 2020;13(1):123-131. (In Russ.) https://doi.org/10.17073/2072-1633-2020-1-123-131
20. Cherniavsky AV, Chepel AA. National and regional type I and II input-output multipliers: analysis of calculation methods. Voprosy Ekonomiki. 2021;(4):32-57. (In Russ.) https://doi.org/10.32609/0042-8736-2021-4-32-57
21. Chkhotua IZ, Vlasyuk LI, Zadorozhnaya GV. Strategic analysis of industrial tourism development in the regions of Russia: Opportunities and threats. Economic Revival of Russia. 2021;70(4):156-174. (In Russ.) https://doi.org/10.37930/1990-9780-2021-4-70-156-174
22. Shakleina MV, Midov AZ. Strategic classification of regions according to the level of financial self-sufficiency. Economic and Social Changes: Facts, Trends, Forecast. 2019;12(3):39-54. (In Russ.) https://doi.org/10.15838/esc.2019.3.63.3
23. Shakleina MV, Shaklein KI. Building a conceptual model of sector development and assessment of the system-building effect. Economic and Social Changes: Facts, Trends, Forecast. 2018;11(3):145-161. (In Russ.) https://doi.org/10.15838/esc.2018.3.57.10
24. Yanch Eh. Prognozirovanie nauchno-tekhnicheskogo progressa [Forecasting scientific and technological progress]. Moscow: Progress; 1974. 585 p. (In Russ.)
25. Ivanauskiene N, Volungenaite J. Relations between service quality and customer loyalty: An empirical investigation of retail chain stores in emerging markets. American International Journal of Social Science. 2014;3(2):113-120.
26. Khakimov Z, Akramov T, Mahmudov T. Discriminant analysis of consumer attitudes towards fashion. Asian Journal of Technology and Management Research. 2022;11(2):109-112.
27. Kvint VL. Strategy for the global market: Theory and practical applications. New York, London: Routledge; 2016. 519 p.
28. Okrepilov VV. Economics of quality: The most important direction in the development of economic science. Studies on Russian Economic Development. 2022;33(5):519-528. https://doi.org/10.1134/s1075700722050124
