Управление пространственным развитием
The article deals with the mysterious "physics" of urban space and methods of managing spatial development making use of this "physics." Urban space is a value created as a result of various activities. Even though living in a city are various people having different attitudes towards it and towards themselves and other people, all of them together make up an urban community which has a right to urban space and to its use and development. This right, however, is alienated in favor of power elites and administration bodies which, unfortunately, are exercising it, as a rule, inefficiently and not for the citizens' good. The situation that has developed is largely determined by the absence in Russia of the profession of urbanist and the opposition offered by top-level managers and architects both to its establishment and to the achievement of a practical balance of interests of various groups.
The article examines the key features of innovations in education, analyzes the economic interests of major stakeholders at the present stage of development of education and substantiates proposals on the need for theoretical rethinking and conceptual development of the principal models used today for describing the range of problems in general education.
In the article the necessity of institutional changes on the way to sustainable ecological-economic development and the multidirectional nature of the process is proved. The authors offer the ways of forming effective institutional mechanism. And the features of institutional transformations in Russia are emphasized.
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.