Dynamic model of research of Siberian Federal District economic spaceby factorial and cluster approaches
In the article the dynamic model of research of the economic space of regions of theSiberian Federal District (SFO) on the basis of factorial and cluster approaches is presented. In the theory of spatial economy theeconomic space of the region is considered generally from the point of view of the system, economic and legal, and geopoliticalapproaches. Use of the process approach to research the economic space of the region allowed to consider it as a steady self-organisingsystem of relations which is formed as a result of the competition of the regional subjects realizing economic interests. There already arenot enough tools of traditional regional economy for the description of processes of regional systems occurring in the economic space.Use of the dynamic model of statistics based on multidimensional methods for the analysis of economic space of the macro-region (byexample of SFO) will allow to create the factorial basis of the economic space of SFO; to estimate influence of each factor and to definethe degree of heterogeneity of the economic space of SFO; to reveal interrelations of initial indicators of different purposes andsubprocesses, and as a result to define structural interrelations at each level of the dynamic model of the economic space of SFO; toreveal spatial typology of the regions of SFO; to construct the economic space of each regional typology and to estimate its contributionto the development of the economic space of SFO. The offered dynamic model is an effective tool of analysis of spatial development ofthe region, allowing to describe its configuration and dynamics taking into account environment influence, and also the empirical basefor formation and realization of effective state economic policy of the Siberian Federal District and its regions.
Keywords
экономическое пространство, факторная модель, региональный процесс, кластер, economic space, factorial model, regional process, clusterAuthors
Name | Organization | |
Akerman Yelena N. | National Research Tomsk State University | aker@tomsk.gov.ru |
Mikhalchuk Alexandr A. | National Research Tomsk Polytechnic University | aamih@rambler.ru |
Trifonov Andrey Yu. | National Research Tomsk Polytechnic University | trifonov@mph.phtd.tpu.edu.ru |
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