Comparative Analysis Of Antitrust Policy Against Collusion In Some Transition Economies: Challenges For Effectiveness
The paper is about Russian practice of introducing a leniency program. In the article authors examine the history of changes to the norms governing the exemption from liability for participating in cartel agreements and the characteristics of competition policy in Russia, which objectively hinder the effectiveness of the program.
Many antitrust cases in Russia continue to be a challenge for the assessment of competition policy. The question is that the impact of several antitrust decisions is rather questionable because of poor legal and economic proceeding. In fact, one of the key factors of the antitrust enforcement quality is the way of decision making by the judges in antitrust cases. This project proposal investigates the factors, affecting final antitrust cases results as the key element of the competition policy’s tools in Russia – antitrust regulation. Using a unique dataset of the appeals of infringement decisions from 2008-2012 this paper empirically examines the impact of competition policy instruments on national economy; development of the criteria for evaluating the effectiveness of antitrust policy; analysis of data on facts influencing the final court decision of antitrust investigations against Russian companies.
One of the most popular statements in the systemic transition literature since the second half of the 1990th is that different experiences of the CEE and Baltic states, on the one hand, and the most of the CIS countries, on the other hand, are embedded in different social norms and values, encouraging efforts in the new EU member states and preventing it in some of CIS countries.
This book focuses on the nature and role of entrepreneurship in modern developed and emerging economies and societies, its relation to governments and universities, and its role in the often-forgotten informal economy. The aim is to position entrepreneurship in the post-crisis context and explore how its relation to universities and governments contributes to explain the countries’ and territories’ growth performance and resilience or vulnerability to the crisis. The accent is particularly on processes and patterns at local level and in small and medium-sized enterprises in local economic systems and districts, local systems of innovation, and the types and configurations of innovation these give origin to.
With globalization, entrepreneurship has become fundamental for the competitiveness of territories and countries, for policy management and for development. The local dimension is fundamental because of agglomeration economies and effects, the advantages of proximity and the nature of knowledge and information. Furthermore, territories carry to the centre-stage tacit knowledge, localized social capital, embeddedness and interpersonal relations as fundamental components of their endogenous socio-economic development and competitiveness. When local systems are connected in a horizontal network, they contribute to the strength of national and international systems. To play a constructive role from this perspective, entrepreneurship must avoid local entrenchment and support the local economy to upgrade and be competitive. To do this, the entrepreneurs’ interaction and alliance with universities and governments is a must for those countries and localities wanting to emerge. This requires that enterprises, universities and governments create synergies and spill-overs to their mutual advantage.
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.