The capter is dedicated to the description of the fragmentation of the Russian media-based public sphere, in particular - to the dymanics of media use of the participants of the 'For fair elections' political protest movement in Russia of 2011-2012. Authors counclude that: 1) socio-economic divisions in today's Russia are mirrored in the media use patterns; 2) traditional textocentricism of Russian intelligentsia shows up and shapes media preferences and opinion leading: 3) changes in political behavior online (weakly) correlates with differences in online media use patterns; 4) a nation-wide public counter-sphere has formed in the Russian big cities. A prediction is made that fragmentation of the Russian public sphere will be deepening.
The article is devoted to the development a system of training future entrepreneurs for commercialization of scientific developments, which come from the Institute of Applied Physics the Russian Academy of Sciences (IAF RAS). In the thorough analysis of the existing models of commercialization of scientific research was carried out, which are used in Russia and abroad. It was noted that at the moment there are 7 basic models of commercialization, which are the most successful. The most successful projects in the commercialization of scientific research IAF RAS were studied in the article. They are ZAO NPP "boom", NTK OOO "Medusa" and "Center of scientific and technological development". As a result of this study it was proposed to implement the developed commercialization model it was asked to create a separate structural unit within the IAF RAS - the Center for Technology Transfer.
New drivers of Russian nationalism appeared in the 1990s, making possible either – as a reaction to globalisation – a return to an imperial nationalism, or – in response to ethnic conflict – a rise in ethnic nationalism. This chapter analyses the changing balance of elite and mass preferences and their influence on the choices made by the Russian government. The attitudes of the elite shifted recently in favour of imperial projects beyond Russia’s borders, in a sharp reversal of a long-term post-Soviet trend. Another long-term trend has recently accelerated: that of valuing military might over economic power in international relations. Anti-Muslim sentiment simmering across the Russian Federation might inspire ethnic nationalism. However, the chapter shows that mass-level attitudes towards Muslims correlate negatively with attitudes towards the USA. Given the current level of anti-US sentiment, the ethnic scenario therefore seems unlikely, for the moment.
Alongside the Arab Spring, the 'Occupy' anti-capitalist movements in the West, and the events on the Maidan in Kiev, Russia has had its own protest movements, notably the political protests of 2011–12. As elsewhere in the world, these protests had unlikely origins, in Russia’s case spearheaded by the 'creative class'. This book examines the protest movements in Russia. It discusses the artistic traditions from which the movements arose; explores the media, including the internet, film, novels, and fashion, through which the protesters have expressed themselves; and considers the outcome of the movements, including the new forms of nationalism, intellectualism, and feminism put forward. Overall, the book shows how the Russian protest movements have suggested new directions for Russian – and global – politics.
Pro-Putin rallies before the 2012 presidential elections became campaign venues in which the Kremlin used political symbols—woven into a narrative of nationalism and tradition—to define and activate core voters across the Russian Federation.
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.