Institutional Design of the Order 220 in Relation to Digital and Classical Markets

The proposed article reflects a methodological description and specific proposals for the content of certain provisions of the Procedure for analyzing the state of competition in the commodity market, approved in accordance with Order No. 220 of the Federal Antimonopoly Service of Russia dated April 28, 2010 in connection with a set of changes related primarily to digital markets. The article presents a brief historical content of changes and transformations of methods for analyzing commodity markets for the purposes of antitrust enforcement, which shows the need for important additions and modernization of the Order 220, both in relation to digital markets and updating concepts and categories of the general outline of commodity market analysis. Special attention is paid to the fact that the instrumental disclosure of the concepts of “decisive influence” and “network effect” are the most important narrative of the regulatory axis in the digital agenda. The article proposes a matrix of variability of research tools for analyzing the relevant market (classical and digital), since significant transformations of the classical market paradigm in the context of expanding digitalization of public and economic life imply a change in research tools for assessing the state of the competitive environment. Given that different types of online platforms compete on the basis of different quality parameters, a description of the SSNDQ test is presented, which may become the main argument for the possibility of switching platform users and its inclusion in the Order of 220 is possible. For the first time in scientific research content, the author’s vision of instrumental assessments of network effects and signs of dominance of digital platforms is systematically reflected, indicators for analyzing the consequences and strength of the network effect are systematized. Four complex groups of indicators are proposed to assess the consequences and strength of the network effect, and their meaningful content is reflected.