The Impact of Sanctions Imposed on Russia on Other CIS Countries

M. Sultonov
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Abstract

The Commonwealth of Independent States (CIS) is being significantly affected by sanctions related to the Russian–Ukrainian war. In this paper, we describe the major social and economic characteristics of the CIS countries and examine the impact of sanctions on the Russian economy, Russian trade with other CIS countries, and the exchange rate of the Russian ruble. We assess the interconnectedness between the GDPs and foreign exchange markets of Russia and other CIS countries. We demonstrate how sanctions have affected the Russian economy and foreign exchange market and how their impact may spill over to the economies and foreign exchange markets of other CIS countries. Based on the research findings and contemporary political and economic conditions in the region and the world, we make suggestions helpful for improving the international economic and trade policies of the CIS countries. Based on the statistical features of the data, a combination of the vector autoregressive (VAR) model and the Granger causality test (Granger 1969) were used in the estimations. Pre-tests for a unit root and cointegration were implemented before estimating the VAR model. If the first differences of the variables did not have a unit root and there was no cointegration relation (long-run relationship) between the variables, the VAR model was used. Otherwise, a vector-error correction model (VECM) was used. Keywords: The Commonwealth of Independent States; interconnectedness; sanctions
对俄罗斯的制裁对其他独联体国家的影响
独立国家联合体(独联体)正受到与俄罗斯-乌克兰战争有关的制裁的重大影响。在本文中,我们描述了独联体国家的主要社会和经济特征,并研究了制裁对俄罗斯经济、俄罗斯与其他独联体国家的贸易以及俄罗斯卢布汇率的影响。我们评估了俄罗斯和其他独联体国家的国内生产总值和外汇市场之间的相互联系。我们展示了制裁如何影响俄罗斯经济和外汇市场,以及其影响如何可能溢出到其他独联体国家的经济和外汇市场。根据研究结果,结合当前地区和世界的政治经济状况,提出有助于完善独联体国家国际经贸政策的建议。根据数据的统计特征,采用向量自回归(VAR)模型和Granger因果检验(Granger 1969)相结合的方法进行估计。在估计VAR模型之前,对单位根和协整进行了预检验。如果变量的一阶差没有单位根,且变量之间不存在协整关系(长期关系),则采用VAR模型。否则,使用向量误差校正模型(VECM)。关键词:独联体;互联性;制裁
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