Russian anti-trust policy: power of enforcement versus quality of rules
In recent years the role of anti-monopoly policy in Russia has grown significantly. The enforcement power of the anti-trust agency has increased dramatically. At the same time adverse trends in competition policy have emerged and strengthened. The main reason was, paradoxically, a growing role of anti-trust policy in the Russian government. The enforcement of anti-trust rules is expected to result immediately in control of the price level and/or support of a defined group of market participants (e.g. suppliers of food products). In this context legal rules are changing in a way that leads to an increase in the number of false positives (type I errors) in anti-trust cases. False positives not only impose a burden on the accused but also distort the incentives of market participants, restrain potentially efficient business practices and also paradoxically can prevent competition. This article considers three examples of adverse development of anti-trust rules in Russia: regulation of trading activity, rules on collusion and excessive prices of collectively dominant market participants, and rules on discrimination as an abuse of a dominant position.
Despite over 30 years of worldwide reforms in many directions to increase efficiency, public transport markets present a variety of arrangements regarding operations, control and ownership that are amenable to improvement. This workshop will examine the contextual economic, political, cultural and social factors behind these many different cases that can be observed around the world. Through a better understanding of such factors it will examine the competition and ownership options for regulated public transport markets, taking full account of local contextual factors. This will include examination of methods for improving performance without major competition and ownership changes, for example by improved institutional design (both top-down and bottom-up), the development of trusting partnerships, the promotion of negotiated contracts and the introduction of optimal operating rules.
The article considers the issues of business competition and cooperation. There presented the market type matrix based on «cooperation-competition» criteria. The concepts of competition marketing and relations with competitors are defined. The concept of marketing communications is specified. The analysis of the main methods of cooperation is carried out.
This is the first paper on consumer search where the cost of going back to stores already searched is explicitly taken into account. We show that the optimal sequential search rule under costly second visits is very different from the traditional reservation price rule in that it is nonstationary and not independent of previously sampled prices. We explore the implications of costly second visits on market equilibrium in two celebrated search models. In the Wolinsky model some consumers search beyond the first firm and in this class of models costly second visits do make a substantive difference: equilibrium prices under costly second visits can both be higher and lower than their perfect recall analogues. In the oligopoly search model of Stahl where consumers do not search beyond the first firm, there remains a unique symmetric equilibrium that has firms use pricing strategies that are identical to the perfect recall case.
This empirical paper adds to competition and industrial organization literature by exploring the interplay between industry structure and competitiveness on local, rather than nation-wide, markets. We use micro-level statistical data for banks in two Russian regions (Bashkortostan and Tatarstan) to estimate Herfindahl-Hirschman index, Lerner index, and Panzar-Rosse model. We estimate Panzar-Rosse model in two ways: via the widely used price-equation that accounts for scale effects and then via a revenue-equation that disregards scale effects as suggested by Bikker, Shaffer and Spierdijk (2009). We find both regional markets to be ruled by monopolistic competition, although estimation by revenue-equation does not reject monopoly hypothesis for Tatarstan. Existence of sizeable locally-owned and operated institutions does not necessarily lead to higher competitiveness of the given regional market. Non-structural methods of estimation suggest that bank competition in Bashkortostan is stronger than in Tatarstan.
This paper examines determinants of corruption across Russian regions. Key contributions include: (i) a formal study of economic corruption determinants across Russian regions; (ii) comparisons of determinants of perceived corruption versus those of actual corruption; and (iii) studying the influence of market competition and other factors on corruption. The re-sults show that economic prosperity, population, market competition and urbanization are significant determinants of Russian corruption. The use of alternative corruption measures reveals that economic prosperity and population have a largely similar impact on corrup-tion perceptions and corruption incidence. However, there are significant differences in the effects of competition and urbanization.
This study analyzes the effects of reducing trade barriers in the context of the objectives of competition policy. Separate chapters are devoted to the assessment of the height of Russian trade barriers, the analysis of the impact of international trade on domestic prices and concentration of production.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.