Regulation of Telecommunications: the Choice Between Market and Regulatory Failures
Purpose – The paper examines the main regulatory frameworks of the telecommunications industry through the concept of market failure and analyses how and why the policy often leads to undesirable outcomes that might be considered as regulatory failure.
Methodology/approach/design – The research uses the EU regulatory framework for electronic communications as a base for the analysis of the main policy objectives through the prism of the market failure theory with an eye to the interests of the main market players in the telecommunications markets.
Findings – About any aspect of regulation allows to find ways to create opportunities for some groups of the industry and stifle activity of others. Despite the theory of market failure provides reasonable justifications for regulation of telecommunications markets, it is possible to argue that many of these problems are mainly the consequence of the policy and could be better solved by market mechanisms.
Originality/value – The results of the research allow to look at the problems of telecommunications development and issues of the high level of concentration of the telecommunications markets as regulatory formed problems rather than consequences of the inherited industry’s characteristics.
The publication contains materials of the conference dedicated scientific-technical problems in the field of Radioelectronics, telecommunications and computer engineering.
The publication is intended for researchers, engineers and graduate students.
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.
The article suggests the integration of a neural network as a parallel element base in a telecommunication system. In this case, the ability to learn or adapt to external conditions is applied as the main advantage. For telecommunication systems in conditions when it is possible, this ability will improve noise immunity, reliability, operability, etc. The article considers an example of the integration of a neural network into a discrete matched signal filter. It is noted that the use of parallel mathematical methods in signal processing leads to the maximum effect of increasing the quality parameters of such telecommunication elements
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.
The author, who is one of the architectures of the «500 Days Reform», finds that no results expected from our institutional transformations made over the 2000th could be observed. He also thinks that Russia is to experience the slow evolutionary transformations which would be accompanied with conflicts of opposites, and compromises with oppositions would be inevitable.
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.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.
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.