Актуальные проблемы осуществления внешнего государственного финансового контроля за состоянием и управлением государственным долгом субъекта Российской Федерации
This book, issued by the Paris United Research Department of Comparative Law and the Institute of Legislation and Comparative Law on the one side and by the Government of the Russian Federation on the other side is the first French-language publication providing access to recent developments in the Russian administrative law. One is confronted with French law and other human rights developments in Europe, on topics selected by mutual agreement by the authors from the issues on the agenda of reforms in Russia. Administrative procedures and control are key legal issues. How they are set dependent on the level of protection of rights and freedoms, the efficiency of public administration, economic development and stability of the state in general. Transformations of the Russian administrative law are put into the context of European administrative rights. French readers will see how the Russian context influences how to address them; Russian edition has brought to the attention of the Russian reader the general principles of French administrative procedure, the system of implicit decisions, the role of individuals in the completion of certain public tasks.
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.