Role of interregional cooperative relations of russian constituent entities in strengthening the common economic space

Abstract

The article considers the role and place of interregional cooperative relations in strengthening the common economic space of the country. The authors give a structural and territorial analysis of the interregional trade and economic relations of one of the most economically developed constituent entities of the Russian Federation - Republic of Tatarstan. Based on this analysis, the trends were identified relating to the change in the interregional cooperative relations and regional specialization industry of Tatarstan; a conclusion is also formulated about formation of three types of interregional cooperation. As a result of the study, the authors conclude that for the modern Russia a threat to collapse of the common economic space of the state remains a very serious problem that requires an immediate solution. According to the authors, a tool to solve this problem is to develop cooperation between the country's regions, preventing the isolation of the constituent entities and promoting the strengthening of the domestic market and formation of the common economic space. Furthermore, for the effective development of interregional cooperative relations such cooperation should be built up through specialization of any constituent entity of the Russian Federation. However, in conditions of economic instability and implementation of the import substitution policy, this form of bilateral cooperation is more promising compared to the foreign economic relations. This is due to the fact that the Republic cooperates with other constituent entities through high-tech products of the automotive, petrochemical and metal processing industries. And its foreign economic relations have a raw-material orientation, because Tatarstan finished (final) products are insufficiently competitive in the foreign markets. In order to analyze the stated problems, the article used the method of scientific abstraction, statistical methods for economic and comparative analysis, and graphic modeling.