Некоторые тезисы о народном представительстве в условиях ограниченности публичного ресурса
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.
Russian federal agencies have created a variety of consultative bodies during the last decade, but their role in the agency's decision-making process is yet to be evaluated. Relevant experience of other countries proposes two major political factors of consultative bodies' influence. The political culture orientation towards compromise and positive perception of interest groups' participation in the decision-making process seem to contribute to that influence.