Управление государством: Проблемы и тенденции развития. Политическая наука: Ежегодник 2007
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.
This paper represents an initial report on findings for a study aimed at analyzing several key aspects of middle class development in the Russian regions (subjects of Federation - oblasts, krays, autonomous republics), namely: Federal and regional government programs to stimulate the growth of the middle class (content, tools of implementation, effectiveness); Behavioral strategies and economic behavior (consumption patterns propensity to save, investment) of different sections of Russian middle class; Middle class value orientation and political preferences (including preferences for democracy).