DEVELOPMENT OF METHODS FOR IDENTIFICATION OF TERRITORIAL SECTORAL CLUSTERS ON THE CASE OF THE FISHERIES INDUSTRY OF THE RUSSIAN FEDERATION

The paper presents the results of the research of the methodology used to identify clusters on a macrolevel; the methodology was tested on the example of the Russian fisheries industry. The relevance of the research is proved by the fact that in a number of national regions the development of fisheries industry is currently initiated by the Russian government. In this regard, particularly important become the issues of selection of criteria and indicators to infer the existence of the prerequisites for the development of sectoral clusters in a certain area. The paper is focused on identification of the regions in Russia that have the most favorable conditions for the formation of fisheries clusters on their territory. The authors have developed the methodology which makes it possible to identify not only the sectoral cluster itself but also the level of its development. This algorithm involves calculation of location quotient by the level of employment, the volume of investments in the capital asset of the industry in the region, as well as the share of industry in gross value added for a few time periods and further shift-share analysis on these factors. The algorithm testing on the example of the fishing industry has resulted in the rating of cluster development of the Russian Federation. It has been found that the greatest potential for the development of fisheries industry is in Murmansk and Sakhalin regions, Primorye and Kamchatka Krai where the emerging clusters have been identified. The paper analyzes the factors that led these regions to the leadership among the Russian regions. The research shows that structural changes in the industry of a region significantly influence the clustering process in the territorial entities. The authors come to the conclusion that establishment of the Far East fishing industry cluster is economically viable.