Modeling development of industries and government corporations operating in them

A.V. BABIKOVA
Candidate of Economics (PhD), Associate Professor at the Department of Enterprise Economy, Southern Federal University, Rostov-on-Don, Russia

N.N. LYABAKH
Doctor of Technical Sciences (DSc), Professor at the Department of Enterprise Economy, Southern Federal University, Rostov-on-Don, Russia

A.Yu. FEDOTOVA
Candidate of Economics (PhD), Associate Professor at the Department of Innovation and Economic Design, Southern Federal University, Rostov-on-Don, Russia

A.V. KHANINA
Postgraduate at the Department of Innovation and Economic Design, Southern Federal University, Rostov-on-Don, Russia

I.K. SHEVCHENKO
Doctor of Economics (DSc), Professor at the Department of Innovation and Economic Design, Southern Federal University, Rostov-on-Don, Russia

TERRA ECONOMICUS, 2014, Vol. 12 (no. 4),

p. 130-136

The article is devoted to the operation of state-owned corporations in high-tech industries. In particular, development of the model to assess the performance of state-owned corporations in the industry in which they were created. State-owned corporations with their significant potential in the industrial policy are considered as points of growth that characterizes them as an instrument of state regulation of the process of industrial development, updating the issues of their effective functioning and impact on the industry and the economy as a whole. Solution of the problem can be achieved by identifying the economic entity – the state-owned corporations and the branch it operates in, in the basis of the feature space. The fuzzy set theory is proposed as the mathematical tool. Besides, the possibility of assessing the impact of market and non-market factors on the activities of state-owned corporations is considered. The formalized representation of the object based on this research will develop and apply mathematical models assessing the development of industries in the institutional circuit of state-owned corporations.

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Keywords: model of effectiveness evaluation; state-owned corporations; Euclidean distance; feature space; fuzzy set theory

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Publisher: Southern Federal University
Founder: Southern Federal University
ISSN: 2073-6606