Parametrical Regulation of Economic Growth on the Basis of Non-Autonomous Computable General Equilibrium Model

Abdykappar A. Ashimov, Bakhyt T. Sultanov, Yuriy V. Borovskiy, Nikolay Yu. Borovskiy, Rakhman A. Alshanov, and Askar A. Ashimov


Modelling, Identification, Parametrical regulation


The work presents some results of development of parametrical regulation theory into classes of mathematical models, represented by non-autonomous continues and discrete dynamic systems. We present the theorems on existence of solutions to some problems of variational calculus for given classes of models and the theorems on continuous dependence of criterions’ optimal values on uncontrollable functions. Application efficiency of the proposed method of parametrical identification for large dimensional mathematical models is illustrated on the basis of computable general equilibrium model (CGE model) of economic sectors. We conducted the analysis of economic growth sources and efficiency of the parametrical regulation theory approach for running state economic policy in the sphere of economic growth was illustrated based on the CGE model of economic sectors.

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