The paper discusses social aspects of higher education institutions engagement with their regional communities. On the basis of the cases of the Russian Siberian and Southern Federal Universities the author analyzes practices and formats of their interaction with different regional stakeholders as part of the FUs' social function implementation. The FU's capacity to enhance their third mission is assessed. The author suggests a set of indicators to assess universities social activities impact on development of the regions, and puts forward recommendations on building the federal universities capacity for fulfilling their third role. The paper is prepared within the framework of the Ministry of Education and Science project "Organizational and analytical support to the national priority project "Education" on activities aimed at "Development of Federal Universities", carried out by the National Training Foundation.
Some problems of the logical process of forming of the social partnership institute are described in this article. This process is convinced as result of the evolution of professional education system. The basic stages of starting this process are evaluated including the forming of special legislation in Russia. Also the prospects of development of social partnership institute are estimated.
Institutions affect investment decisions, including investments in human capital. Hence institutions are relevant for the allocation of talent. Good market-supporting institutions attract talent to productive value-creating activities, whereas poor ones raise the appeal of rent-seeking. We propose a theoretical model that predicts that more talented individuals are particularly sensitive in their career choices to the quality of institutions, and test these predictions on a sample of around 95 countries of the world. We find a strong positive association between the quality of institutions and graduation of college and university students in science, and an even stronger negative correlation with graduation in law. Our findings are robust to various specifications of empirical models, including smaller samples of former colonies and transition countries. The quality of human capital makes the distinction between educational choices under strong and weak institutions particularly sharp. We show that the allocation of talent is an important link between institutions and growth.
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.