It is known that charity, as with any social institution that depends on both external and internal factors. In this article the author analyzes the relationship of charity and the level of development of such internal factors as trust. The analysis was conducted on a global level and at regional level in Russia. The resulting lack of relationship to regional level and its presence in the world say that in Russia at the moment there is no required number of relevant data, based on which one could draw a conclusion about the level of philanthropy.
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.