Typical Arrangements and Practices for the Prevention of Organized Criminal Activities in the Insurance

Abstract

The article discusses forensic problems on counteraction to the organized crime activities in the field of insurance in modern Russia. The author clearly shows the level of development of the theoretical and applied criminology, and provides an overview of the work "Methodology for Crime Investigation in the Field of Insurance and Related Methods and Methodological Recommendations" available for free download on the Internet. The article also characterizes the state of modern law enforcement practice in identifying, disclosing and investigating fraudulent and other organized criminal activities in the field of insurance The author specifies that the contents of the corresponding practice constitutes a number of significant forensic trends that the author selects and justifies. As for the latter is concerned, the author concludes that the degree of efficiency of counteraction to the organized fraud and other organized criminal activities in the field of insurance at the present time cannot be regarded as satisfactory This article provides insightful analysis of official statistics on convictions for crimes under Art. 1595 of the Criminal Code of the Russian Federation. The author offers a typology of offences in the field of insurance and provides arguments in favour of the chosen criterion for such a typology in accordance with which four types of offences in the field of insurance can be distinguished: simple crime (domestic, committed individually, outside a group), group crime, organized crime and organized and corrupt crime. The author provides brief examples of relevant types of the crimes. Based on the enforcement practice the article outlines the main trends of the organized criminal activities in the field of insurance, addresses the issues of criminal characteristics of organized criminal activities related to committing fraud and other crimes in the field of insurance, as well as related crimes