This paper evaluates disparity in dynamics between the indexes of mechanical and natural population change of population for 1990-2010 in Russian regions. Data that was estimated for separate cities and regions shows that intraregional differences of given indexes (не меньше, чем по стране в целом) no less than for country in total. Migration influences on population structures, indexes of birth and death rate in cities and regions. It determines the differences of dynamics of population and intraregional periphery.
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.