Государственное управление в 21 веке: традиции и инновации. Материалы 6-й международной конференции факультета государственного управления МГУ имени М.В. Ломоносова (29-31 мая 2008 г.)
In this article history of university periodicals is approached as a history of practices of state administration, self-regulation of university corporation, professional self-organization, and normalization of different aspects of the university life. Research for this article has been carried out in the archives of Moscow University and Kazan University, and in the manuscript divisions of these universities’ libraries, as well as in the Archive of the Ministry of Public Education. Documents preserved in these collections reveal intentions of the publishers and circumstances surrounding the appearance of various periodicals in the first half of the nineteenth century. Another group of historical sources analyzed in this article consists of publications in university periodicals themselves. The authors show how the state policies regulating the market of the university press, on the one hand, and initiatives of university professors, on the other, influenced the configuration of the corporation of the university faculty, its internal hierarchies and accepted criteria of academic excellence. The article seeks to answer the question how politics and content of university journalism stimulated academic competition and created reputations.
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.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.