海关服务数字化转型模式,旨在提高海关对国际邮件货物的监管效率(参照医疗药品)

Q4 Agricultural and Biological Sciences
I. Grekov, I. Aksenov, P. Afonin, Dmitry V. Gorshkov
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引用次数: 0

摘要

背景。俄罗斯联邦海关当局的信息技术已成为国家数字经济的一部分,为外贸参与者和海关当局官员提供的服务提供互动。目的。海关服务的检测创新和海关对国际邮寄货物的管制(以医药制剂为例)材料和方法。在研究中,作者使用了俄罗斯联邦海关网站上反映的特殊海关统计资料,俄罗斯国家统计局网站上反映的对外经济活动统计资料,联邦国家统一企业俄罗斯邮政上反映的数据。在这项工作中,运用了辩证的、系统的、历史的、逻辑的、形式法律的、比较的研究方法。结果。在应用机器学习技术的监测系统的帮助下,在移动IMPI(包括药物)时处理信息流并揭示潜在威胁将完全自动化。结论。海关对进出口货物的监管范围一方面要广泛,另一方面要高效,不应给进出口货物的承运人带来过多的金钱和时间负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MODEL OF DIGITAL TRANSFORMATION OF CUSTOMS SERVICES AIMED AT MAKING CUSTOMS CONTROL OF GOODS SENT BY INTERNATIONAL MAIL MORE EFFECTIVE (WITH REFERENCE TO MEDICAL DRUGS)
Background. Information technologies of the Russian Federation Customs Authorities have been made part of the state digital economy, providing interaction between foreign trade participants  and the services provided by the Customs Authorities officers. Purpose. Detection innovations of customs services and customs control of goods sent by international mail (on the example of medical preparations) Materials and methods.  In the study, the authors used materials of special customs statistics reflected on the website of the Federal Customs Service of Russia, statistics of foreign economic activity reflected on the website of Rosstat, data reflected on the Federal State Unitary Enterprise Russian Post. In this work, dialectical, systemic, historical, logical, formal-legal, comparative research methods were used. Results. Processing the flow of information and revealing potential threats while moving IMPI (including medications) shall become completely automated with the help of a monitoring system, applying the machine learning technology. Conclusion. The scope of  customs control exercised over the goods forwarded in IMPI shall be , on the one hand, extensive , and on  the other -efficient, without placing excessive burden in the form of money and time costs on the persons involved in forwarding IMPI.
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来源期刊
Siberian Journal of Life Sciences and Agriculture
Siberian Journal of Life Sciences and Agriculture Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
0.80
自引率
0.00%
发文量
15
审稿时长
8 weeks
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