The order of federal antimonopoly body is traditional means of struggle against antimonopoly law infringements. Recently the higher judicial instances (the Constitutional Court of the Russian Federation and the Supreme Arbitration Court of the Russian Federation) have taken part in discussion about the legal nature of the order to transfer the illegal income). Why have these bodies paid attention to the problem concerned? How to estimate their decisions on a problem of application of this order? These questions are being discussed by the author in the present article with the use of the judiciary practice and the legal doctrine.
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.