Практикум по уголовному праву
L'objet de cet article est l`analyse comparative des problèmes de la réglementation juridique de l`activité médicale (incluant la médecine traditionnelle) et la responsabilité pénale pour l'exercice illégal de la médecine et pour les autres infractions en France et en Russie.
The article considers the features of the presumption of knowledge of criminal law rules as a condition of guilt and responsibility for crimes in the sphere of economic activity. It argues conclusions on the ways to improve the organization of legal education of population, as well as the system of legal training of the staff engaged in economic structures and in respect of their penal control officers of the relevant legal institutions. It also justifies the relationship between the strengthen of the presumption of knowledge of criminal law in relation to these crimes with an increase in the effectiveness of criminal justice in the relevant field, and hence the efficiency of the economic activity.
Presumption of knowledge of law, crime, economic activity, legal education of population, legal training, criminal justice supervision, crimes in the sphere of economic activity, the order of publish of laws and their promulgation, commentary, Explanation, legal public education, legal studies, Legal institutions
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.