Государство и исторический процесс. Политический срез исторического процесса
In this edition of the scientific collection contains articles on a wide range of problems of theory, methodology and history of the historical science and education. The collection was attended by historians from Kharkov, Dnepropetrovsk and Moscow that illuminated the General questions of the theory and historiography and history of the Kharkov University.
Phenomenology, that is the description of observed phenomena, is absolutely insufficient for a profound comprehension of global processes, so one needs some explanatory theories. The present article offers such a new explanatory concept useful for analyzing causes and trends of global shifts in historical process – the theory of production revolutions. The author reveals possibilities of using this theory to explain the logic of interaction between technological macroshifts, significant changes in social structure and qualitative growth of processes' scale (globality), connections and phenomena within the World System. Much attention is paid to the interrelation between the effects of the latest (information-scientific) revolution and globalization processes. Some forecasts for the future are made basing on the theory of production revolutions
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.