This
technique allows us to estimate the degreeof monopolization of the industry and
its sub-sectors, as well as to hold a comparativeanalysis and to identify
trends of development. Technique consists several steps.Determine the maximum
amount of product produced by any company in the sector inthe period and the
percentage of the volume of production from which the companycan be named as
leader. Fuzzy numbers of leadership are calculated for each firm’sproduct. If
the company produces more than one product, the fuzzy numbers for eachproduct
are aggregated into one by using the fuzzy operation "or".
Dependingon the percentage level in the industry will change and the number of
companiesthat are recognized as leaders. Simulations proved that correlation
between percentagelevel and number of leaders in industry depends on MARKET
structure: Monopoly, oligopolyor pure competition. Correlation coefficient
tends from -1 for the monopolized industriesto 0 for pure competition. We
provided computer simulation to calculate the boundariesof correlation
coefficient to identify types of market structure. The analysis washeld
according to the industrial and economic activity of all 509 agricultural
enterprisesand 13 types of products in Republic Tatarstan of Russian Federation
during 2011-2013.The obtained results are comparable with the results of the
calculation the Herfindahl-Hirschmanindex for each product. However, the
proposed technique allows us to make a generalassessment of industry’s
competitiveness. The technique has an applied significancein the development of
government support measures.
Website: http://www.arjonline.org/agricultural-sciences/american-research-journal-of-agriculture/
Website: http://www.arjonline.org/agricultural-sciences/american-research-journal-of-agriculture/
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