Пути развития постсоциалистического мира: междисциплинарный анализ
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.
This paper begins by outlining the two-sided ‘ethical challenge’ that international sociology faces in the 21st century. First, formulating the ethical stance of a sociologist towards the subject of disciplinary inquiry and the potentially involved social groups. Second, elaborating the adequate research tools for studying the ethical dimension of globalizing social reality. We conduct a critical analysis of the current literature on these issues from the Global Sociology perspective. We show that the ‘value-involved’ Global Sociology is the only possible mode of successful and appealing international disciplinary practice. However, existing ‘value-involved’ approaches are Eurocentric by nature and lack sensitivity to the ethically diverse global social reality. We propose the conceptual framing of ‘Ethically Responsible Global Sociology’ as a new vision of our discipline in the global world.
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.