Preview

Russian Journal of Industrial Economics

Advanced search

Approach to form the territorial system development strategy using simulation and scenario modeling tools

https://doi.org/10.17073/2072-1633-2019-4-426-442

Abstract

The studies were carried out in the problematic of improving the tools for implementing economic policy which ensure widespread use of strategic planning and regulation methods in real practice of managing the territorial systems development at various levels. The article highlights the most pressing problems of improving the efficiency of socio-economic development planning for territorial systems, including in the context of the modern digital economy development. The need for implementation analytical processing systems and the management information effective use to substantiate strategic decisions is indicated as the priority problem. The comparative assessment of the well-known methodologies, methods and ready-made software solutions in modeling the economy of territorial socio-economic system at the different levels is carried out. Their strengths and weaknesses are identified for solving the identified problems and priority tasks of territorial development. The basic principles and requirements are formulated for the territorial socio-economic system’s development predicting tools. The conceptual scheme for implementing the simulation model is proposed. In general terms, the scheme provides the adaptation of the SAM methodology to formalize economic agents’ expenses and incomes balance. At the same time it involves the use of econometric methods, fuzzy logic theory and soft computing algorithms. The statement of the simulation problem is considered, the structure and the block’s relations logic for the simulation model are described. It is proposed to formalize the basic parameters connections of the model in two groups: in the first group the system relations of the model parameters are identified and formalized by SAM methodology; in the second group the factor relations are identified and formalized using econometric methods. Some results of forecasting calculations are given as part of the substantiation of the strategy for socio-economic development of the of Ufa city for the period until 2030.

About the Authors

M. M. Nizamutdinov
Institute of Socio-Economic Research, Ufa Science Centre of RAS
Russian Federation

Marsel’ M. Nizamutdinov – PhD (Eng.), Associate Professor

71 Prospekt Oktyabrya, Ufa, Republic of Bashkortostan 450054



V. V. Oreshnikov
Institute of Socio-Economic Research, Ufa Science Centre of RAS
Russian Federation

Vladimir V. Oreshnikov – PhD (Econ.)

71 Prospekt Oktyabrya, Ufa, Republic of Bashkortostan 450054



References

1. Neshchadin A., Fattakhov R. The priorities of the state policy in the sphere of regional development of the Russian Federation. Obshchestvo i ekonomika = Society and Economics. 2013. No. 1-2. Pp. 108–123. (In Russ.)

2. Ulyaeva A.G., Ataeva A.G. Research of factors of urban agglomerations formation and development as the direction of strengthening the inter-territorial cooperation in the region. Journal of Economy and Entrepreneurship. 2015. No. 12-1(65). Pp. 369–373. (In Russ.)

3. Kiseleva V.А. Modeling of the system of monitoring and management of the socioeconomic development of the region. Novye tekhnologii = New technologies. 2010. No. 4. Pp. 95–98. (In Russ.)

4. Uzyakov M.N. Problems of Building an Interindustry Equilibrium Model for the Russian Economy. Problems of Forecasting. 2000. No. 2. Pp. 18–33. (In Russ.)

5. Zulkarnay I.U., Bakhitova R.Kh., Akhunov R.R. Conceptual scheme of agent-based models in public finance. Vestnik Bashkirskogo universiteta = Bulletin of Bashkir University. 2014. No. 2. Pp. 480–485. (In Russ.)

6. Proekt SIRENA: vliyanie gosudarstvennoi politiki na regional’noe razvitie [Project SIRENA: the influence of state policy on regional development]. Novosibirsk: Izd-vo IEOPP SO RAN, 2002. 360 p. (In Russ.)

7. Suspitsyn S.А. Conceptual models for strategic forecasting and indicative planning of the regional development. Region: Economics and Sociology. 2009. No. 1. Pp. 40–63. (In Russ.)

8. Makarov V.L., Bakhtizin AR, Bakhtizina N.V. CGE model’ sotsial’no-ekonomicheskoi sistemy Rossii so vstroennymi neironnymi setyami [CGE model of the socio-economic system of Russia with embedded neural networks]. Moscow: CEMI RAS, 2005. 152 p. (In Russ.)

9. Fattakhov M.R. Agent-Based Model of Socio-Economic Development of Moscow. Economics and mathematical methods. 2013. Vol. 49. No. 2. Pp. 30–43. (In Russ.)

10. Smyslova O.Yu., Stroyev P.V., Nesterova N.N. The mechanism of increasing the sustainability of the socio-economic development of regions using GIS technologies. Management sciences in Russia. 2018. Vol. 8. No. 4. Pp. 84–93. (In Russ.). DOI: 10.26794/2404-022X-2018-8-4-84-93.

11. Klimova N.I., Bukharbaeva L.Ya., Franz M.V., Shmakova M.V. Economic mathematical model for regional development strategy financial support. Fundamental’nye issledovaniya = Fundamental Research. 2015. No. 10-2. Pp. 378–383. (In Russ.)

12. Aksyanova A.V., Khairutdinova, Yu.V. Prediction of indicators of the development of the socio-economic sphere of the region. Vestnik Kazanskogo tekhnologicheskogo universiteta = Bulletin of Kazan Technological University. 2011. No. 20. Pp. 305–310. (In Russ.)

13. Gavrilov A.I. Regional’naya ekonomika i upravlenie [Regional Economics and Management]. Moscow: YuNITY-DANA, 2002. 239 p. (In Russ.)

14. Makarova E.A. Formation of scenarios managements of behaviour of sectors of economy on the basis of dynamic model macroeconomic circle. Vestnik Ufimskogo gosudarstvennogo aviatsionnogo tekhnicheskogo universiteta (UGATU) = Vestnik USATU. 2009. Vol. 13. No. 2. Pp. 136–147. (In Russ.)

15. Bunkovsky D.V. Optimization of large, medium-sized and small business interaction in industry. Proceedings of Irkutsk State Technical University. 2012. No. 6. Pp. 148–152. (In Russ.)

16. Gizatullin Kh.N., Rizvanov D.A. Problemy upravleniya slozhnymi sotsial’noekonomicheskimi sistemam [Problems of management of complex socio-economic systems]. Moscow: Economy, 2005. 217 p. (In Russ.)

17. Oreshnikov V.V., Nizamutdinov M.M. A municipal formation’s demographic development forecast using the methods of economic and mathematical modeling. Regional Economics: Theory and Practice. 2019. Vol. 17. No. 2(461). Pp. 383–398. (In Russ.). DOI: 10.24891/re.17.2.383

18. Akhmetov T.R. Mechanisms of integration of territorial entities of different levels in the description of the evolutionary model of social development with an innovative determinant. Regional economy: theory and practice. 2018. Vol. 16. No. 9(456). Pp. 1594–1611. (In Russ.)

19. Nizamutdinov M., Oreshnikov V. Formation of the target indicators of regional development strategy using fuzzy logic algorithms. Economics and the Mathematical Method. 2016. Vol. 52. No. 2. Pp. 30–39. (In Russ.)

20. Chernyakhovskaya L.R., Galiullina A.F., Sabitov I.I. Efficiency Evaluation of Public Services Provision Using Fuzzy Inference System. Information technology. 2016. Vol. 22. No. 8. Pp. 563–568. (In Russ.)

21. Ivanov P.A. Evaluation of life cycle of the territory (on the example of municipal entities of Republic of Bashkortostan). Azimuth of scientific research: economics and management. 2017. Vol. 6. No. 3(20). Pp. 160–163. (In Russ.)

22. Altufeva T.Yu. The life cycle of municipalities: the impact on the development and financial support of small and medium enterprises. Financial Economy. 2018. No. 9. Pp. 203–205. (In Russ.)


Review

For citations:


Nizamutdinov M.M., Oreshnikov V.V. Approach to form the territorial system development strategy using simulation and scenario modeling tools. Russian Journal of Industrial Economics. 2019;12(4):426-442. (In Russ.) https://doi.org/10.17073/2072-1633-2019-4-426-442

Views: 789


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


ISSN 2072-1633 (Print)
ISSN 2413-662X (Online)