Архитектура и скульптура как факторы политической идентичности
In March 2011 scholars met in Prague at the conference Interculturalism, Meaning and Identity. This event revitalised this important theme related to Diversity and Recognition. The terms 'interculturalism' and 'integration' are experiencing a renaissance. As the extent of human movement between nations increases attempts are made to balance cultural difference and social cohesion. In some contexts immigration and settlement policies are becoming more draconian in response. Because of this, interculturalism can take on many meanings. However, pivotal to the way interculturalism is understood is identification. As the relationship between nation, ethnicity and language becomes more complex so too do the ways in which people represent them selves. The cultural resources drawn on and the processes used to form identities are examined in this truly international collection. So too are the implications of these developments for how we theorise culture, meaning and identity.
In September 2009 Russia’s Dmitrii Medvedev unveiled the term that was to become the defining objective of his presidency: “modernization”. Leaving office in the spring of 2012 it was apparent that no serious changes of this kind had taken place, and popular resistance was mounting. Why so? And why has resistance to reform been so significant in postcommunist Russia, not just in this but in other cases as well? The various contributors to this book, drawn from a group of intellectuals who have shaped the discussion in Russia itself as well as leading scholars from other countries, focus on the contested nature of the concept of modernization and the obstacles that arose in attempting to carry it into practical effect – obstacles that leave a challenging agenda for a new Russian presidency in the years to come.
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.