Региональное неравенство в Российской Федерации и механизмы его сглаживания
The paper reviews the problem of Russian regions inequality and the mechanisms for its solving. To use only the minimum level of fiscal capacity as the main calculated indicator of the intergovernmental transfers is not effective. In the article there are suggestions for improving the system of intergovernmental relations and the perspectives to use the Investment Fund for smoothing regional disparities.
This paper proposes a method of allocation of grant funds within the scientific and academic groups. We consider the allocation process automation through the use of Internet technologies. The study was conducted on the basis of scientific and educational group «Theoretical Foundations of energy efficient wireless sensor networks», National Research University «Higher School of Economics».
The paper contains attempt to develop theory which try to explain – in the Post Keynesian “spirit” – why can stagflation be inherent in the modern market advanced economy. The treatment of such economy as the “inside money economy” is very important. The author shows that stagflation is the inevitable feature of any recession in the inside money economy, when price-controlling firms try to avoid immediately the bankruptcies in the conditions of a “debt crisis", higher and/or rising interest rates and decrease in the aggregate demand. In other words, a recession in such economy is always a stagflation. The paper also shows that cyclical expansion together with redemption of debts by some firms and the bankruptcies of other firms can deliver the economy from stagflation, but only until the beginning of a next recession. All this reasoning can be very important in the current period of the 2007 – 2012 Global Financial Crisis.
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.