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Economic tomography: the possibility to anticipate and respond to socio-economic crises

Author

Listed:
  • Kuklin, A. A.
  • Bystray, G. P.
  • Okhotnikov, S. A.
  • Vasilyeva, E. V.

Abstract

The article discusses an approach based on an original hypothesis related to the peculiarities of Russia’s development (on the one hand, its scale, the Russian mentality and a certain closeness of the economy; on the other hand, a significant dominant resource and human potential, and, as a consequence, a genuine role in the global economic community), the diagnosis of which (at the level of the well-being of individuals and inhabited areas) can be used to identify crises, provide an early assessment of threats to socio-economic development of regions as well as help to evaluate the state of the region over a 3 to 5 year period. In other words, in order to ensure that executives have enough time to mount a sufficiently rapid response to the crises and administrative errors and to reduce the impact of emerging threats. The aim of this paper is to present theoretical and methodological tools for the recognition of the early stages of emerging threats, allowing fewer losses to be experienced during the crisis period. Simulation experiments were carried out for the purpose of classifying previously occurring social and economic crises (9 possible variants were reviewed) and mathematically processed trajectories of change in the main indicators for the well-being of individuals and inhabited areas, taking the influence of various factors into account. On the basis of the authors’ proposed approach (referred to as economic tomography) an attempt is made to comprehensively assess the state of sample representative regions of Russia.

Suggested Citation

  • Kuklin, A. A. & Bystray, G. P. & Okhotnikov, S. A. & Vasilyeva, E. V., 2015. "Economic tomography: the possibility to anticipate and respond to socio-economic crises," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 1(4), pages 533-545.
    • Handle: RePEc:aiy:journl:v:1:y:2015:i:4:p:533-545
    DOI: 10.15826/recon.2015.4.017
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    References listed on IDEAS

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    1. Benoit B. Mandelbrot, 1972. "Statistical Methodology for Nonperiodic Cycles: From the Covariance To R/S Analysis," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 259-290, National Bureau of Economic Research, Inc.
    2. L. C. G. Rogers, 1997. "Arbitrage with Fractional Brownian Motion," Mathematical Finance, Wiley Blackwell, vol. 7(1), pages 95-105, January.
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    Cited by:

    1. Kuklin, A. A. & Okhotnikov, S. A. & Korshunov, L. A., 2016. "Architectonics of the Analysis and Information System "Anti-Crisis"," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 2(2), pages 194-204.
    2. Nadezhda Necheuhinа & Olga Mustafina & Lyudmila Kuklina, 2018. "Competitiveness of Various Segments of the Regional Consumer Market," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 836-850.
    3. Aleksandr Kuklin & Sergey Okhotnikov & Lev Korshunov, 2016. "Architectonics of the Analysis and Information System “Anti-Crisisâ€," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 371-382.
    4. Olga Romanova & Vladimir Strovskiy, 2016. "Development of the Methodology for the Economic Evaluation of Managerial Decisions as a Factor of Economic Security Increase," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 937-950.
    5. Vitaliy Lazhentsev, 2018. "Socio-Economic Space and Territorial Development of the North and the Arctic of Russia," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 353-365.

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