The article is devoted to a particular form of freedom of assembly — the right to counter-demonstrate. The author underlines the value of this right as an element of democratic society, but also acknowledges the risk of violent actions among participants of opposing demonstrations. Due to this risk, the government may adopt adequate measures restricting the right to counter-demonstrate, certain types of which are analyzed in this paper.
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.