Modeling the Instability of Development of Complex Hierarchical Systems Serhiienko O. A., Mashchenko M. A., Baranova V. V.
Serhiienko, Olena A., Mashchenko, Maryna A., and Baranova, Valeriia V. (2021) “Modeling the Instability of Development of Complex Hierarchical Systems.” The Problems of Economy 1:143–154. https://doi.org/10.32983/2222-0712-2021-1-143-154
Section: Mathematical methods and models in economy
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UDC 330.46:338.534
Abstract: The article suggests using modern instruments of dynamic analysis, i.e. the theories of phase, cointegration, and bifurcation analysis and the catastrophe theory to improve the methodology to study the dynamic pattern of the development indices of complex hierarchical systems (CHS) and their relationship. The article elaborates the main directions for creating research models, which would describe the interaction between the development indices of CHS, grounded on estimating and analyzing pre-crisis, crisis and post-crisis phenomena in hierarchical social and economic territorial systems. A conceptual framework algorithm is designed to model the dynamic pattern of the CHS development using modern economic and mathematical instruments to study the dynamics of time-series data and assess the relationship of CHS indices. Complex models have been implemented to monitor the key CHS development indices based on the phase and cointegration analysis of the relationship between the following processes: investment and GDP; GDP and industrial production dynamics; GDP dynamics and import volumes dynamics; wages dynamics and industrial production dynamics; migration and natural population growth. As part of the implementation of a comprehensive model for monitoring key indices of CHS development based on bifurcation analysis and the catastrophe theory, the supercritical Hopf bifurcation is built in the relationship model of imports and GDP; surfaces of the functions of Kaldor’s model and a three-dimensional Kaldor’s model are constructed. The suggested complex toolkit for research models of the CHS development instability gives us the opportunity to draw conclusions about the reasons and factors of the occurrence of endogenous (self-generating) fluctuations and bifurcations; about the probability of catastrophes and crises arising in complex hierarchical economic systems. The solution of problems caused by the CHS development instability on the basis of complex application of phase, cointegration and bifurcation analysis will allow us to predict crisis situations in advance and to offer methods of their prevention, to find complex ways out of crisis situations.
Keywords: bifurcation, catastrophe, cointegration, complex hierarchical system, instability, modeling, phase analysis.
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Serhiienko Olena A. – Doctor of Sciences (Economics), Professor, Professor, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine) Email: Elena.Sergienko@khpi.edu.ua Mashchenko Maryna A. – Doctor of Sciences (Economics), Professor, Head of the Department, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine) Email: Maryna.Mashchenko@khpi.edu.ua Baranova Valeriia V. – Doctor of Sciences (Economics), Associate Professor, Associate Professor, Department of Tourism Business and Regional Studies, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine) Email: v.v.baranova@karazin.ua
List of references in article
Agapova, T. M., Bekhrens, D., and Kurran, D. Dinamicheskiye sistemy v ekonomike [Dynamical Systems in Economics]. Donetsk: Izd-vo DonGU, 2000.
Aktualni problemy prohnozuvannia povedinky skladnykh sotsialno-ekonomichnykh system [Current Problems of Predicting the Behavior of Complex Socio-economic Systems]. Berdiansk: Vyd. Tkachuk O. V., 2016.
Bobrovska, O. “Evoliutsiia prohnozuvannia rozvytku sotsialno-ekonomichnykh protsesiv: stan i napriamky udoskonalennia“ [Evolution of Forecasting the Development of Socio-economic Processes: The State and Areas for Improvement]. Visnyk sotsialno-ekonomichnykh doslidzhen. 2015. http://www.dbuapa.dp.ua/zbirnik/2011-02(6)/11boysnu.pdf
Bril, M. S. “Monitorynh makroekonomichnykh pokaznykiv na osnovi doslidzhennia yikh nestatsionarnoi dynamiky v konteksti realizatsii stratehii staloho sotsialno-ekonomichnoho rozvytku derzhavy“ [The Monitoring of Macroeconomic Indicators Based on Studying their Non-Stationary Dynamics in the Context of Implementing the Strategy of Sustainable Socio-Economic Development of the State]. Problemy ekonomiky, no. 1 (2016): 264-273.
Varenko, V. M. et al. Systemnyi analiz informatsiinykh protsesiv [System Analysis of Information Processes]. Kyiv: Universytet «Ukraina», 2013.
Vatskovski, K. S., and Gordiyenko, L. Yu. “Bank metodov i modeley podderzhki transformatsionno-upravlencheskikh resheniy v sotsialno-ekonomicheskikh sistemakh“ [Bank of Methods and Models to Support Transformational and Managerial Decisions in the Socioeconomic Systems]. Problemy ekonomiky, no. 2 (2012): 38-42.
Derzhavna sluzhba statystyky Ukrainy. http://ukrstat.gov.ua/
Zang, B. V. Sinergeticheskaya ekonomika. Vremya i peremeny v nelineynoy ekonomicheskoy teorii [Synergetic Economy. Time and Changes in Nonlinear Economic Theory]. Moscow: Mir, 1999.
Kizim, N. A., Pronoza, P. V., and Polyakova, O. Yu. “Sistema rannego raspoznavaniya patologicheskikh protsessov v realnom sektore ekonomiki“ [System for Early Recognition of Pathological Processes in the Real Sector of the Economy]. Izvestiya Irkutskoy gosudarstvennoy ekonomicheskoy akademii, no. 1(93) (2014): 110-120.
Klebanova, T. S., Guryanova, L. S., and Sergiyenko, Ye. A. “Analiz rezonansnykh yavleniy v tsiklicheskoy dinamike makroekonomicheskikh indikatorov“ [Analysis of Resonant Phenomena in the Cyclical Dynamics of Macroeconomic Indicators]. Analiz, modelirovaniye i prognozirovaniye ekonomicheskikh protsessov. Voronezh: ID TsNTI, 2011. 82-87.
Kostenko, Ye., Kuznichenko, V. M., and Lapshin, V. I. “Vliyaniye vneshnikh periodicheskikh i nelineinykh faktorov na stabilnost ekonomicheskikh system“ [Influence of External Periodic and Non-linear Factors upon Stability of Economic Systems]. Problemy ekonomiky, no. 2 (2013): 212-219.
Lukianenko, I. H., and Horodnichenko, Yu. O. Suchasni ekonometrychni metody u finansakh [Modern Econometric Methods in Finance]. Kyiv: Litera LTD, 2002.
Maksishko, N., and Perepelitsa, V. Analiz i prognozirovaniye evolyutsii ekonomicheskikh sistem [Analysis and Forecasting of the Evolution of Economic Systems]. Zaporizhzhia: Poligraf, 2006.
Modelirovaniye protsessov upravleniya v informatsionnoy ekonomike [Modeling Management Processes in the Information Economy]. Berdiansk: Izd. Tkachuk A. V., 2017.
Klebanova, T. S. et al. Modelirovaniye ekonomicheskoy dinamiki [Modeling Economic Dynamics]. Kharkiv: ID «INZhEK», 2004.
Petrov, L. F. Metody dinamicheskogo analiza ekonomiki [Methods for Dynamic Analysis of the Economy]. Moscow: INFRA-M, 2010.
Prikladnyye aspekty modelirovaniya sotsialno-ekonomicheskikh sistem [Applied Aspects of Modeling Socio-economic Systems]. Berdiansk: Izd. Tkachuk A. V., 2015.
Revenko, D. S. “Doslidzhennia dynamichnoi stiikosti ekonomichnoho zrostannia Ukrainy (determinovanyi pidkhid)“ [Research of Dynamic Stability of Economic Growth of Ukraine (Deterministic Approach)]. Visnyk Skhidnoievropeiskoho universytetu ekonomiky i menedzhmentu, no. 2(17) (2014): 146-155.
Sergiyenko, Ye. A. “Modeli fazovoy ploskosti issledovaniya dinamiki indikatorov territorialnogo razvitiya“ [Models of the Phase Plane of the Study of the Dynamics of Indicators of Territorial Development]. Konkurentospromozhnist ta innovatsii: problemy nauky ta praktyky. Kharkiv: VD «INZhEK», 2011.
Forrester, Dzh. Mirovaya dinamika [World Dynamics]. Moscow: Nauka, 1977.
Khaken, G. Sinergetika. Iyerarkhii neustoychivostey v samoorganizuyushchikhsya sistemakh i ustroystvakh [Synergetics. Hierarchies of Instabilities in Self-organizing Systems and Devices]. Moscow: Mir, 1985.
Lysenko, Yu. G. et al. Ekonomicheskaya dinamika [Economic Dynamics]. Donetsk: DonGu, 2000.
Yaldin, I. V. “Kognitivnoye modelirovaniye v prognozirovanyy stsenariyev strategii ustoychyvogo razvitiya integrirovannoy struktury biznesa“ [Cognitive Modelling in Forecasting Scenarios of the Strategy of Stable Development of an Integrated Structure of Business]. Problemy ekonomiky, no. 4 (2011): 142-150.
Atkin, R. H. “Combinatorial Connectivies in Social Systems“. An Application of Simplicial Complex Structures to the Study of Large Organisations, Interdisciplinary Systems Research (1997).
Prognostication and planning of economic development: microeconomic and macroeconomic levels, vol. 2. Lithuania: Publishing House «Baltija Publishing», 2019.
Weidlich, W. “Stability and Cyclicity in Social Systems“. Behavioral Science, vol. 33 (1988): 241-256.
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