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STATE-PRIVATE PARTNERSHIP AS A TOOL OF DESIGNING EFFECTIVE SYSTEM OF PRICING AND ESTIMATE RATING IN INNOVATION SPHERE

https://doi.org/10.21686/2413-2829-2018-1-141-146

Abstract

The article analyzes possible advantages of state-private partnership in the ‘400 days’ reform. To solve the problem of unreliability of  estimate ratings the entropic approach was put forward. The use of  the conventional entropy indicator allows us to realize negentropic  approach to managing the processes of development and  enhancement of estimate standards. The author shows the ways of  resolving the problem in the aspect of enhancing the system of pricing and estimate rating through interaction of business and  power by establishing a joint research center. The center will  function by using the advanced methodological tools for  development and enhancement of estimate standards based, in  particular on the concept of negentropic management and other up- to-date managerial theories and methods.

About the Author

Olga N. Kalinina
The North Caucasus infrastructure Directorate – a structural unit of the Central Infrastructure Directorate – branch of open joint stock company 'Russian Railways'
Russian Federation

Leading Expert of the Department for Project and Estimate  Expertise of the Customer service of the North Caucasus infrastructure Directorate – a structural unit of the Central Infrastructure Directorate – branch of open  joint stock company 'Russian Railways'

Address: The North Caucasus infrastructure Directorate – a  structural unit of the Central Infrastructure Directorate –  branch of open joint stock company 'Russian Railways', 4  Teatral’naya Sq., Rostov-on-Don, Rostov Region, 344019, Russian Federation



References

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For citations:


Kalinina O.N. STATE-PRIVATE PARTNERSHIP AS A TOOL OF DESIGNING EFFECTIVE SYSTEM OF PRICING AND ESTIMATE RATING IN INNOVATION SPHERE. Vestnik of the Plekhanov Russian University of Economics. 2018;(1):141-146. (In Russ.) https://doi.org/10.21686/2413-2829-2018-1-141-146

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ISSN 2413-2829 (Print)
ISSN 2587-9251 (Online)