Сравнительный анализ правового статуса органов по обеспечению деятельности главы государства в США и Французской Республике
In the paper the author presents the comparative analysis of legal status of the subsidiary bodies providing activity of the head of state in the USA and France, defines the features of realization of competence of these structures, points out the directions of evolution of competence and problems existing in the field.
The article deals with the legal and actual status and powers of the President of France within its Republic History as the object of research. The appeal to the history of presidency and experience of its constitutional and legal regulation in the French Republic as the research subject seems to be logical due to complex of facts. Development of the theory of separation of powers in the country had a great influence on the constitutional practice and a state system in other European countries. On the way of transformation from parliamentary in hybrid, both parliamentary and presidential system, France initially was guided by the extremely complex challenge consisting in creating by the constitutional means "the strong power" headed by the President of the country as the "authoritative arbitrator" maintaining national interests in any circumstances at preservation of the principle of separation and balance of the powers, democracy, the rights and personal freedoms.
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.