Myslyakova Yuliya G.

The article is devoted to solving the standard problems of an old industrial region in the framework of the application of a genetic approach, which examines the geocode of the territory that is a system of its hereditary records, which determines its economic specifics and aptitude to various endogenous processes. The purpose of the article is to prove the scientific hypothesis that the economic geocode of an old industrial region illustrates not only its low innovation capacity, but also its weak aptitude to innovative development, which hinders the industrial renewal of the territory. To prove the hypothesis it was necessary to solve the following tasks: to reveal the economic identity of the functioning of old industrial regions that determine the specificity of their geocode; to develop a method of assessing the aptitude of an old industrial region to innovative development in terms of its economic geocode territory; to test the guidelines identifying the transforming directions of the innovation component in the economic geocode of an old industrial region. The research is based on the author’s matrix method for identifying the aptitude of the old industrial territory to innovative development using evaluation indicators that reflect the demand, quality and capacity of scientific and innovative performance of universities, which are the basic generators of innovative ideas and applied technical developments for industrial enterprises in the region. Approbation of the author’s method and proof of the scientific hypothesis were carried out within the context of the Sverdlovsk, Tyumen and Chelyabinsk regions of the Ural region. The assumption that the old industrial region has a low predisposition to innovative development turned out to be correct. It was also found that the Sverdlovsk region has the greatest propensity for innovative development, although its value is not high at the interregional level of comparisons. The obtained results indicate that the geocode considered old-industrial region contains the values of the performance indicators, yielding similar indicators of the Central territories of the Russian Federation that actualizes the necessity of improving the organization of scientific and innovation activities of leading universities in the territories in the context of transformation of their economic geocode.

N this article, the author reveals the theoretical and methodological features of modelling the space of the territorial heritage of an industrial region. To do this, he made a brief historical digression in the context of the evolution of scientific views and opinions of famous scientists about the presence of hereditary memory in the territory and its influence on the state of the economy. It was found out that economic genetics is a developing science with an unsettled categorical apparatus. This fact determined the purpose of the study to identify the structure and model the code space of the territorial heritage of the industrial region. As the main morphological elements of the heritage space, the author identified the “determinative” codes of the region and justified their methodological features. The article also reveals the essence of the industrial, social and institutional codes of the industrial territory and proves that they form its genetic core, which is responsible for information recording in the regional memory. To model the code space of the territorial heritage, the author developed a methodological tool and tested it on the example of the Sverdlovsk and Chelyabinsk regions. As a result, it was found that the models of the code space of the territorial heritage of the studied industrial regions have a certain similarity in their morphological manifestation. They contribute to the further development of manufacturing industries, primarily in the metallurgical industry, while the innovative trend of economic growth in the region is not a priority. The general conclusion that was made by the author concerns the identification of the typicality of the heritage space model of the industrial territories in the Urals.

Purpose. In article the authors tries analyses modern of the problems and measure participation of the big business in international trade Russia and Ural regions. Methods. To study algorithms of construction optimal model of the mechanism management of foreign economic activity in the country and the Ural regions and optimization of systems management they in specific condition development old-industrial regions of the Urals. Result and scope. The analysis of theoretical works by domestic and foreign scientists, us results of the development international trade in old industrial regions, with their biggest park of old industrial equipment, study common and specific line of development management international trade in regions. The result of analysis may be utilization by elaboration region programs of strategic development regions of Russia and optimization structural management international trade in this territories. Scientific novelty. Consist in research specific line by diversification development structural management international trade in different territories of the Russia, especially old-industrial region of the Urals, with use modern model of management international trade in regions of the Russia.