根据俄罗斯制裁制度重新考虑当代制裁分类

Q3 Economics, Econometrics and Finance
A. A. Pobedin
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引用次数: 0

摘要

2022年,俄罗斯面临着前所未有的制裁压力,有必要重新考虑既定的制裁类别。随着新挑战的出现,人们不仅要部署当前的分析资源,还要依赖于早期案例的综合概念化。研究目标。本研究的目的是描述和测试分析制裁制度的方法,利用目前对俄罗斯的制裁数据。数据和方法。本研究采用案例研究和统计分析的方法,使用俄罗斯联邦中央银行(Rosstat)、卡斯泰勒姆(Castellum)提供的数据。人工智能,联合国贸发会议。结果。该研究提出了一个制裁的基本模型,它结合了两个方面- -受限制影响的外国经济活动领域和决定制裁对目标国家影响的因素。本文展示了如何根据对俄罗斯制裁制度的分析对所提出的模型进行调整。结论。这些制裁给俄罗斯经济带来了相当大的压力,因为就其影响的性质和范围而言,它们远远超过了此前对其他国家实施的限制。为了承受制裁压力,有必要对该国的外贸结构和国内经济政策进行认真的修订和重组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconsidering contemporary classifications of sanctions in the light of the Russia sanctions regime
Relevance In 2022, Russia has been facing unprecedented sanctions pressure, which has created a need to reconsider the established classifications of sanctions. As the new challenges arise, one has to deploy not only the current analytical resources but rely on the integrated conceptualization of earlier cases. Research objective. The study aims to describe and test methodology for analysis of sanctions regimes by using the current data on the sanctions against Russia. Data and method. The study relies on the methods of case study and statistical analysis and uses the data provided by Rosstat, Central Bank of the Russian Federation, Castellum.AI, UNCTAD. Results. The study proposes a base model of sanctions which combines two dimensions – the areas of foreign economic activity impacted by the restrictions and the factors that determine the sanctions' influence on the target country. It is shown how the proposed model can be adjusted for the analysis of the Russia sanctions regime. Conclusions. The sanctions put considerable pressure on Russia's economy because by the nature of their impact and scope they far exceed the scale of the restrictions that were previously applied to other countries. To withstand the sanctions pressure, a serious revision and reorganization of the country's foreign trade structure and domestic economic policy is necessary.
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来源期刊
REconomy
REconomy Economics, Econometrics and Finance-General Economics, Econometrics and Finance
CiteScore
1.60
自引率
0.00%
发文量
8
审稿时长
14 weeks
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