Abstract

The definitions set out in the article are the result of a systemic analysis of the environment, existing forecasts of future conditions based on strategic thinking, which help explain the theory of the emergence of agglomeration effects in territorial planning in the region. The essence of strategizing is focusing on the implementation of a set of interests. Therefore, the agglomeration strategy should be aimed at realizing long-term interests, such as creating new industries, improving the quality of life of the population, maintaining positive dynamics of demographic indicators, thereby ensuring the interests of a larger number of parties and achieving an agglomeration effect for the subject of the Russian Federation. It is the interests of the population, aimed at restoring the integrity of the territory in terms of the main economic indicators within the agglomeration, that are the main resulting factor reflecting the effectiveness of the strategy. At the stage of planning strategic priorities, it is important to pay attention to the transport accessibility of territories. Intraregional differences in the level of socio-economic development in Kuzbass, including the level of unemployment, prove the need for investment in the development of new industries. The lack of resource availability reduces the effectiveness of strategy and does not contribute to socio-economic development. An analysis of the economic mechanisms existing in the region and the fundamental principles of spatial development determines the possibilities of choosing between scenarios to achieve the agglomeration effect. The developing explanatory theory reveals the fact that limited resources can never satisfy uncertain desires and needs, and only a formalized strategy that combines forecast, priorities, long-term goals and objectives with a detailed scenario, the use of a strategic monitoring system, and assessment of resource limitations will achieve agglomeration effects in region.

Keywords

doctrine, agglomeration effect, spatial development, resource constraints, strategizing

REFERENCES

1. Lavrinenko PA, Mikhailova TN, Romashina AA, Chistyakov PA. Agglomeration effect as a tool of regional development. Studies on Russian Economic Development. 2019;30(3):268–274. (In Russ.).
2. Gordeev V, Magomedov R, Mikhailova T. Agglomerative effects in Russian industry. Russian Economic development. 2017;24(8):19–20. (In Russ.)
3. Kalashnikova OE. Agglomeration effects in the creation and management of agglomeration. Science, Education and Culture. 2017;1(5(20)):28–32. (In Russ.)
4. Kashin AV. Osobennosti formirovaniya sistemnogo vzaimodeystviya vlastnyh struktur i dominiruyuschey firmy kak osnovy dlya strategicheskogo razvitiya territorialnogo khozyaystvennogo kompleksa [Features of formation of system interaction between power structures and the dominating firm as the basis for strategic development of a territorial economic complex]. Sibirskaya Finansovaya Shkola. 2007;(4(65)):31–35. (In Russ.)
5. Kashin AV, Kravets AV. Agglomeration processes and prospects for innovative development of the region’s economy (by the example of the Novosibirsk region). Kreativnaya Ekonomika. 2017;11(3):399–408. (In Russ.) https://doi.org/10.18334/ce.11.3.37700
6. 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
7. Kolomak EA. Assessment of the influence of agglomeration factors on the economic activity of the Angara-Yenisei region. Journal of Siberian Federal University. Humanities & Social Sciences. 2023;16(9):1560–1566. (In Russ.).
8. Kvint VL, Alimuradov MK, Zadorozhnaya GV, Astapov KL, Alabina TA, Bakhtizin AR, et al. A conceptual future for the Kuzbass region: strategic outlines of developmental priorities through 2071, a 50-year perspective. Kemerovo: Kemerovo State University; 2022. 283 p. (In Russ.) https://doi.org/10.21603/978-5-8353-2812-3
9. Manaeva IV. Formation of a methodology for strategizing the spatial development of Russian cities. Saint Petersburg: NWIM RANEPA; 2020. 368 p. (In Russ.)
10. Nabrodova IN. Complex systems and processes of their functioning. Izvestiya TulGU. 2015;9:190–194. (In Russ.)
11. Olifir DI. Synergy space as the source of innovation system of urban agglomerations management and development (on the example of Sankt-Petersburg agglomeration). Voprosy Innovatsionnoy Ekonomiki. 2019;9(4):1403–1414. (In Russ.) https://doi.org/10.18334/vinec.9.4.41300
12. Pavlov YuV, Khmeleva GA. Assessing the impact of agglomeration effects on the economic development of Samara region’s urban districts. Ekonomika, Predprinimatelstvo i Pravo. 2022;12(10):2773–2794. (In Russ.) https://doi.org/10.18334/epp.12.10.116416
13. Sasaev NI. Formation of industrial strategizing methodology / ed. VL Kvint. Saint Petersburg: NWIM RANEPA; 2024. 212 p. (In Russ.) https://doi.org/10.55959/978-5-89781-780-1
14. Seredyuk IV, Korchagina IV. Agglomeration as a strategic track for the regional development: prospects and limitations. Strategizing: Theory and Practice. 2023;3(4):379–392. (In Russ.) https://doi. org/10.21603/2782-2435-2023-3-4-379-392
15. Kvint VL, Alimuradov MK, Astapov KL, Alekseev GF, Bagaev DV, Boksgorn AA, et al. Strategizing of Kuzbass region economic and investing development. Kemerovo: Kemerovo State University; 2021. 364 p. (In Russ.) https://doi.org/10.21603/978-5-8353-2724-9
16. Chen C, Zhao D, He F, Sun F. A comprehensive multi-hazard risk assessment model for an urban agglomeration with multiple factors. Journal of Safety Science and Resilience. 2023;4(1):43–51. https://doi.org/10.1016/j.jnlssr.2022.09.008
17. Yousuf M, Ahmed R, Lubna N, Sumon Sh. Estimating the services sector impact on economic growth of Bangladesh: an econometric investigation. Asian Journal of Economic Modelling, Asian Economic and Social Society. 2019;7(2):62–72.
18. Giuliano G, Kang S, Yuan Q. Agglomeration economies and evolving urban form. The Annals of Regional Science. 2019;63:377–398. https://doi.org/10.1007/s00168-019-00957-4
19. Kii M. Projecting future populations of urban agglomerations around the world and through the 21st century. npj Urban Sustainability. 202;1(10). https://doi.org/10.1038/s42949-020-00007-5
20. Zhang W, Liu G, Yang Z. Urban agglomeration ecological risk transfer model based on Bayesian and ecological network. Resources, Conservation and Recycling. 2020;161. https://doi.org/10.1016/j.resconrec.2020.105006