Яндекс.Метрика

ANALYSIS OF THE PRESENCE AND STRUCTURE OF DOMINANT GROUPS IN THE MARKET OF AGRICULTURAL ORGANIZATIONS IN RUSSIA ACCORDING TO THE RESULTS OF 2020


DOI 10.33305/221-41

Issue № 1, 2022, article № 6, pages 41-52

Section: Agro-industrial market

Language: Russian

Original language title: АНАЛИЗ НАЛИЧИЯ И СТРУКТУРЫ ДОМИНИРУЮЩИХ ГРУПП НА РЫНКЕ СЕЛЬСКОХОЗЯЙСТВЕННЫХ ОРГАНИЗАЦИЙ РОССИИ ПО ИТОГАМ 2020 ГОДА

Keywords: COMPETITIVE ANALYSIS, ECONOMIC DOMINANCE THEORY, OLIGOPOLY, SV MATRIX, LIND INDEX, HALL-TIDEMAN INDEX, AGRICULTURE

Abstract: In the context of a difficult economic and epidemiological situation, which causes a drop in household income and a decrease in the growth rate of demand for agricultural products in the Russian Federation, it is important to conduct a strategic competitive analysis that allows us to identify the dominant groups of players in the market and assess their level of differentiation of companies in this market. This article summarizes the analysis of the industry "Crop and livestock, hunting and the provision of related services in these areas" based on the official reporting indicators for 2020 in the context of 64 sub-sectors, 36 of which revealed the possible presence of dominant groups of companies. As the main tool, the SV (strength/variety) Matrix was used to assess the level of dominance in the industry based on the concentration index, Lind Index, and the modified Hall-Tideman Index. The conclusions obtained from a detailed analysis of the SV matrix showed that the agricultural industry is quite diverse in terms of the level of differentiation of the dominant groups of players in the market, which suggests that it is necessary to carefully approach the choice of strategic decisions in each described quadrant and to take into account the recommendations proposed by the authors of the SV matrix regarding the behaviour in these markets. The authors also give recommendations on changing the rules for collecting statistical reporting in Russia, so that it is more applicable for use in modern analytical tools.

Authors: Vertogradov Vladimir Aleksandrovich, SHCHelokova Svetlana Viktorovna