Политика впереди экономики. Риски и перспективы Таможенного Союза ЕврАзЭс
The analysis of competition policy during economic crisis is motivated by the fact that competition is a key factor in productivity levels. The latter, in turn, influences the scope and length of economic recession. In many Russian markets, buyers’ gains decline because of weak competition, since suppliers are reluctant to cut prices despite decreasing demand. Data on prices in Russia and abroad in the second half of 2008 show asymmetric price rigidity. At least two questions are important in an economic crisis: the “division of labor” between proactive and protective tools of competition policy and the impact of anticrisis policy on competition. Protective competition policy is insufficient in a transition economy, especially during a crisis, and it should be supplemented with well-designed industrial policy measures that do not contradict the goals of competition. The preferred tools of anticrisis policy are those that do not restrain competition.
This paper puts forth a comprehensive set of measures to address the current economic crisis, prevent its further aggravation and ensure sustained and ongoing development of the Russian economy. In this study we seek to adopt the viewpoint of common sense and keep free from political and ideological bias. This is why we believe the proposed solutions should be implemented by any reasonable government irrespective of its political coloration. This text presents our vision of the Russian economy and its problems.
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.
In the article we study the reasons and character of economic growth in Russia in the beginning of the XXI-st century. The analysis of the features of economic development is a key to understanding of depth of modern crisis in Russia. This article exhibits institutional preconditions for an overcoming the crisis and acceleration of economic growth.
Economic crisis started in 2008 forced companies in Russia to move from growth and expansion to reduction and restructuring. The article presents the main changes at top managers’ labor market from the beginning of crisis in Russia. The original data on top managers’ mobility in Russia from late 1999 till 2009 was used. The main result of the research is that there were no big changes in Russian top managers’ labor market during the crisis years (2008–2009). The most significant change was the increase of firm’s demand for specific human capital of top managers and the decrease of demand for general human capital.