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Особенности детерминации современной таможенной преступности

Особенности детерминации современной таможенной преступности

Abstract

Семенюк, Д. П. Особенности детерминации современной таможенной преступности / Д. П. Семенюк // Вестник Академии МВД Республики Беларусь. - 2018. - № 1. - С. 44 - 48. Рассматриваются особенности современной таможенной преступности. Анализируются статистика и практика деятельности правоохранительных органов по противодействию данному негативному социальному явлению. Определяются особенности детерминации таможенной преступности в системе преступности Республики Беларусь и некоторых стран ЕАЭС. = The specifics of modern customs crime are considered. The analysis is subjected to statistics and the practice of law enforcement agencies in countering this negative social phenomenon. Specific features of determination and causality of customs crime in the system of criminality of the Republic of Belarus and the EAEC are determined.

Keywords

customs crime, криминология, таможенные преступления, таможенная преступность, преступность, ЕАЭС страны, Евразийский экономический союз, Eurasian Economic Union, the Republic of Belarus, criminology, Республика Беларусь, причины преступности, crime

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green