Preview

World of Economics and Management

Advanced search

Analysis of resource and non-resource factors’ influence on economic growth of Tomsk region using cognitive approach

Abstract

This article introduces the key problems of social-economic development of Tomsk region and factors that influence economic growth in highly resource-dependent region. Authors prove the advisability of using cognitive approach for investigation and forecasting of social-economic system development in conditions of uncertainty. Also results of simulation are given medium-term forecast. They are interpreted by means of fuzzy cognitive map. Obtained results, on the one hand, confirm the theoretical considerations about the need of convergence between various factors in the regional development strategy. On the other hand, it’s revealed the need to build a normative model, showing what the regional economy should be. This will allow to conceive more clearly the direction of movement from the modern position to desired one and to determine required contours of the economic policy.

About the Authors

A. K. Belan
Novosibirsk State University, Novosibirsk
Russian Federation


V. V. Shmat
Institute of Economics and Industrial Engineering SB RAS, Novosibirsk Novosibirsk State University, Novosibirsk
Russian Federation


References

1. Auty R. M. Sustaining Development in Mineral Economies: The Resource Curse Thesis. New York, Routlege, 1993, 272 p.

2. Sachs J. D., Warner A. M. Natural Resource Abundance and Economic Growth / NBER Working Paper No. 5398, Cambridge, MA, 1995, 47 p. URL: http://www.nber.org/papers/w5398 (date accessed 07.08.2014).

3. Polterovich V., Popov V., Tonis A. Ekonomicheskaya politika, kachestvo institutov i mekhanizmy «resursnogo proklyatiya» [Economic Policy, Quality of Institutions, and Mechanisms of Resource Curse]. Moscow, HSE Publ., 2007, 98 p. (in Russ.)

4. Haber S., Menaldo V. Do Natural Resources Fuel Authoritarianism? A Reappraisal of the Resource Curse. American Political Science Review, 2011, vol. 105, iss. 1, p. 1–26.

5. Kareva D. Ye., Shmat V. V. Budushcheye rossiyskoy ekonomiki glazami «ottsov» i «detey» [The Future of the Russian Economy in the Eyes of «Fathers» and «Sons»]. ECO, 2014, no. 9, p. 86–105. (in Russ.)

6. Kryukov V. A., Tokarev A. N., Shmat V. V. Kak sokhranit' nash «neftegazovyy ochag»? [How to Save our «Oil-and-Gas Hearth»?]. ECO, 2014, no. 3, p. 5–29. (in Russ.)

7. Shmat V., Sevast'yanova A. Novaya strategiya neftegazovykh territoriy: ekonomika, informatsiya, sotsium. Informatsionno-analiticheskiye metody i situatsionnyy analiz v strategicheskom upravlenii neftegazodobyvayushchim regionom na primere Khanty-Mansiyskogo avtonomnogo okruga – Yugry. New Strategy of Oil and Gas areas: the Economy, Information, Society,. Novosibirsk, 2006, 191 p. (in Russ.)

8. Chernyak Yu. I. Sistemnyy analiz v upravlenii ekonomikoy [System Analysis in Economic Management]. Moscow, Ekonomika Publ., 1975, 191 p. (in Russ.)

9. Kulinich A. A. Komp'yuternyye sistemy analiza situatsiy i podderzhki prinyatiya resheniy na osnove kognitivnykh kart: podkhody i metody [Software for Situation Analysis and Decision Support on the Basis of Cognitive Maps: Approaches and Methods]. Problemy upravleniya [Control Sciences], 2011, no. 4, p. 31–45. (in Russ.)

10. Maksimov V. I., Kornushenko Ye. K. Analiz i upravleniye v nestabil'noy srede [Analysis and Management in an Unstable Environment]. Bankovskiye tekhnologii [Banking Technologies], 1999, no. 3, p. 34–37. (in Russ.)

11. Maksimov V. I., Kornoushenko Ye. K., Kachayev S. V. Kognitivnyye tekhnologii dlya podderzhki prinyatiya upravlencheskikh resheniy [Cognitive Technologies to Support of Management Decisions]. Informatsionnoye obshchestvo [Information Society], 1999, no. 2. (in Russ.) URL: http://www.infosoc.iis.ru/content/1999/199902/199902.ru.html (date accessed 07.08.2014).

12. Zabolotskiy M. A., Polyakova I. A., Tikhonin A. V. Kognitivnoye modelirovaniye – unikal'nyy instrument dlya analiza i upravleniya slozhnymi sistemami (region, otrasl' promyshlennosti, krupnoye predpriyatiye) [Cognitive Modeling – an Unique Tool for Analyzing and Managing of Complex Systems]. Uspekhi sovremennogo yestestvoznaniya [Advances in Current Natural Sciences], 2005, no. 2, p. 28. (in Russ.)

13. Kosko B. Fuzzy cognitive maps. Int. J. Man-Machine Studies, 1986, no. 24, p. 65–75. URL: http://sipi.usc.edu/~kosko/FCM.pdf (date accessed 07.08.2014).

14. Dickerson J. A., Kosko B. Virtual Worlds as Fuzzy Cognitive Maps. Presence, 1994, vol. 3, no. 2, p. 173–189. URL: http://sipi.usc.edu/~kosko/Virtual_Worlds_FCM.pdf (date accessed 07.08.2014).

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

16. Lavresh I. I., Mironov V. V., Smirnov A. V. Kognitivnoye modelirovaniye sotsial'noekonomicheskikh reytingov regionov [Cognitive Modeling of Socio-economic Rating of the Regions]


Review

For citations:


Belan A.K., Shmat V.V. Analysis of resource and non-resource factors’ influence on economic growth of Tomsk region using cognitive approach. World of Economics and Management. 2015;15(1):78–93. (In Russ.)

Views: 82


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


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