Таврические чтения 2012. Актуальные проблемы парламентаризма: история и современность. Международная научная конференция, Санкт-Петербург, Таврический дворец, 19 октября 2012 г. Сборник научных статей
The chapter is focused on 1) the formation of historical memory about public politics and parliamentarism in the context of the anniversary of political reforms and introduction of the State Duma in 2006 2) the history of formation of the concept of public politics in Russia of the early twentieth century.
The book is dedicated to the 100th anniversary of Russian parliamentarism. The analysis of historical experience and actual problems of development of parliamentarism in Russia, Germany and a number of other European countries is presented. The authors are leading Russian and foreign experts from a number of research centers in Russia and Europe. Materials on the analysis of the development of parliamentarism in Germany and other European countries are based on the results of the European project "Parliamentary representation in Europe: recruiting and the career of legislators in 1848-2005", implemented during the last decade.
The book is addressed to a wide range of readers - scientists, politicians, public servants, teachers and students, everyone who is interested in the history and modern experience of Russian and European parliamentarism.
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.