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BUSINESS INFORM №12-2016

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13

Section: Economic and Mathematical Modeling
UDC 330.42:519.7
Ivanov R. V.
The Mathematical Model of the Economic Behaviour of Household in Terms of the Increasing Impact of Negative Exogenous Factors (p. 83 - 87)

The main aim of the publication is to build the economical-mathematical models of behavior strategies of economic agent, prone to self-organization, in the process of interaction with the negative external factors when they become strengthened. The proposed strategies and their models are based on the cost-income balance equation that takes into consideration both the quantitative and qualitative characteristics. The built models are considered in the state space, in the form of linear combinations of functions of movement of the uniform material flow and different spatial combinations of the economic sources (sink points). Study on the model has provided to define dependence of the size and shape of the «area of stability» that determines the amount of resources required for viability of the economic agent, both from internal and external flow parameters and the chosen strategy. It has been found that as the criterion of efficiency of the applied strategy can serve the value of the «coefficient of resistance» against the external factors, reduction of which, along with keeping the size of «area of stability», corresponds to the direction to optimization.
Keywords: economic behavior, coefficient of resistance, adjustment of the consumption strategy, coefficient of motivation, area of stability
Fig.: 2. Formulae: 10. Bibl.: 10.

Ivanov Roman V. – Candidate of Sciences (Physics and Mathematics), Associate Professor, Head of the Department, Department of Economic Cybernetics, Oles Honchar Dnipro National University (72 Nauky Ave., Dnіpro, 49010, Ukraine)
Email: [email protected]

Article is written in Ukrainian
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Reference to this article:
Ivanov, Roman V. (2016) “The Mathematical Model of the Economic Behaviour of Household in Terms of the Increasing Impact of Negative Exogenous Factors.” Business Inform 12:83–87.


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