The algorithm for determining the perspective specializations of the region and its approbation on the case of the Samara region
Abstract. The scientific interests of the authors of the article are based on issues of methodological support for the development of promising economic specializations of regions that meet the opportunities and challenges of the modern Russian reality. The results of the study are presented in accordance with the objectives: the methodological basis forsubstantiatingthe promisingspecializations of the region is determined, an algorithm for their determination is developed, and the algorithm is tested usingthe example of the Samara region. Based on the results of usingthe analytical tool, eight promisingspecializations of the Samara region were identified, which made it possible to significantly optimize their number compared to the list assigned to the region in the Spatial Development Strategy of the Russian Federation for the period until 2025. Identification of promising industries with advantages and competitiveness will further provide a comprehensive assessment of the development of the subject and highlight the promising landscape of work to achieve regional as well as national goals.
Keywords: region, smart specialization, promising economic specialization, spatial development strategy.
Highlights:
- within the framework of the proposed algorithm, four information and analytical areas are formed: the system of national accounts, industry, labor market, foreign trade, within each of which the corresponding indicators are selected for analysis;
- the advantages of the presented algorithm are its utility and flexibility, which is ensured by the use of available arrays of official statistical information;
- the use of the proposed algorithm in determining promising specializations of the Samara region makes it possible to optimize their number in comparison with the list assigned to the region in the Spatial Development Strategy of the Russian Federation for the period until 2025.
Yuliya A. Vorobyova, Elena N. Koroleva - Samara State University of Economics, Samara, Russia