Национальное богатство Российской Федерации и уголовное право
Find the content of the national wealth as the basis of its economic security and how protected criminal law values appear especially natural component of the national wealth, including such elements as the territory of the country, its geographical location, climate, land, water, atmospheric air, flora and fauna, resources. Suggestions to improve the relevant norms of criminal law and its application.
This article discusses the concept of medical activity for the purposes of criminal law enforcement. The article is intended to clarify terms such as conventional medicine, traditional medicine, alternative medicine. We investigate the legal nature and the possibility of criminal law protection of various types of medical activity, points to the shortcomings of the existing regulation. The author offers his own approach to the problem of criminal-legal protection of medical practice. After a theoretical analysis, the article examines the court sentences under Art. 235 of the Criminal Code of the Russian Federation ("Illegal occupation of private medical practice or private pharmaceutical activity").
The article analyzes the artificial and protected by the law component of the national wealth including social infrastructure, industrial, intellectual and ideological potential, as well as the mass of goods and personal property of the citizens. It pays the main attention to the issues of criminal law protection of social infrastructure, including the constitutional order, political and economic systems, health and education. It also provides us with the proposals on the improvement of the criminal law and their application.
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.