The automated decision-making support system in the field of customs and tariff regulation of the eurasian economic union: Methodological foundations

The article proposes a methodology for the formation of an automated decision-making support system in the field of customs tariff regulation of the Eurasian Economic Union with the ability to predict the structure of domestic consumption of a particular product. The proposed automated system consists of modules that implement logical models to present databases and their processing to make informed decisions on changing the rates of import customs duties towards the goods imported into the Eurasian Economic Union territory. The methodology, which forms the base software of the automated system, makes it possible to determine the rational level of customs and tariff protection in relation to a specific type of product following the implemented strategy for the development of domestic production of this product and the international obligations of the EACU member states to the WTO. An essential component of the developed methodology is the ability to predict the structure of domestic consumption of goods together with changes in the level of customs and tariff protection. The adoption of the developed methodology ensures the change of the import duty rate within the state's international obligations, which will ultimately ensure an increase in the volume of domestic industrial production of goods without additional costs to the domestic and consumer. © 2021 CEUR-WS. All rights reserved.

Авторы
Сборник материалов конференции
Издательство
CEUR-WS
Язык
Английский
Страницы
139-147
Статус
Опубликовано
Том
3040
Год
2021
Организации
  • 1 Peoples' Friendship University of Russia, Moscow, Russian Federation
Ключевые слова
Customs and tariff regulation; Decision support system; Eurasian Economic Union; Forecasting production volumes; Import demand
Дата создания
06.07.2022
Дата изменения
06.07.2022
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/84437/
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