Кондратьевские волны. Наследие и современность
This paper discusses the legacy of Nikolai Antsiferov (1889–1958), a Russian historian who suggested a unique approach to urban studies in which literature played the key role. In the first section of this paper, the genesis of Antsiferov‘s conceptions of the study of urban history and the image of the city are outlined. The second section provides an analysis of his ideas on the literary image of St. Petersburg and the theory of literary-themed guided tours, which were articulated in his works of the 1920s. The finalsection of the article sheds light on the reception and legacy of Antsiferov‘s intellectual ideas in the modern humanities and assesses its significance in the modern context of interdisciplinarity.
The article discusses the conceptions of the Russians that are held by the contemporary Chinese. The research draws on popular literature on Russia, published in China during the last ten years, as well as on Chinese Internet materials and the author's own fieldwork. It is peculiar, the author notes, that in the sources studied, there are scarce mentions of the attributes that are common for both the Chinese and the Russians; whereas what is typically underlined is the controversial nature of the Russians, which is conceived as a negative feature or even a hindrance to mutual understanding. Relationships between the spouses or between different generations within a Russian family, as the contemporary Chinese see them, appear rather far from their own ideal. At the same time, the upbringing of children in Russia is assessed fairly positively, while the image of the Russian woman has much appeal among the residents of contemporary China.
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.