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Regional Economics: Theory and Practice
 

Pareto optimization technique in evaluating and forecasting of the processes of interregional innovation economic integration

Vol. 13, Iss. 13, APRIL 2015

PDF  Article PDF Version

Available online: 5 April 2015

Subject Heading: INNOVATION AND INVESTMENT

JEL Classification: 

Pages: 29-46

Saralidze A.M. Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russian Federation
kafedra-euii@mail.ru

Mishchenko Z.V. Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russian Federation
zvm2002@rambler.ru

Donichev O.A. Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russian Federation
donoa@vlsu.ru

Importance The article deals with the development of strengthening the interregional economic integration on the basis of the innovation economy. This problem is particularly relevant in response to the threat of stagnation of the Russian economy, caused by the global economic crisis and sanctions by Western countries.
     Objectives The purpose of the study is the development of methods for assessing and forecasting the processes of interregional innovation economic integration.
     Methods To analyze various aspects of the development of interregional innovation economic interaction, we used economic-mathematical methods and applied the concept of Pareto optimization. We are proposing a technique, based on the assumption that a Pareto optimum is a combination of states of the economies of regions in the system (Federal District), which cannot be improved, at least, for one region without compromising the situation of, at least, one of the remaining regions.
     Results We found that, according to the specific terms of the efficiency of innovation activity of enterprises, the structure of the regions changes significantly in the short-term forecast period (2 to 3 years). In addition, there is a gradual evolution of the reallocation of costs on innovation from the leading regions to the ones of high and backward groups. The proposed factor-monitoring system is based on the official statistics of the authorities of the Russian Federation, and it can be applied for estimating and forecasting the integration processes. On this basis, we have set up a system of target indicators of innovation and economic performance, reflecting the state of a group of regions as a system of interacting elements.
     Conclusions and Relevance The proposed optimization model and method of Pareto optimization, on the basis of a system of indicators of economic and innovation regions, will meet the challenges of measuring the parameters of regional system in order to take account of the interests of an individual subject of the Federation and the Federal Center. The program can be used in the educational process, as well as in the activities of the regional government when forming the strategies for social and economic development.

Keywords: differentiation, regions, cluster, interregional integration, innovation, economic performance, Pareto optimization method

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