In: Ekonomický časopis/Journal of Economics, vol. 70, no. 9-10
Igor Drapkin 
- Kirill Sidorov - Oleg Mariev
- Kirill Sidorov - Oleg Mariev Detaily:
Rok, strany: 2022, 743 - 767
Jazyk: eng
Kľúčové slová:
Russia-EU trade, sanctions, counter-sanctions, trade potential, effect of sanctions, PPML
JEL Classification: F14, F51
Typ článku: Vedecký článok / Article
Typ dokumentu: PDF / PDF
O článku:
We analyze the influence of sanctions on bilateral trade flows between the European Union and the Russian Federation during 2015 – 2019. Despite trade sanctions and counter-sanctions being imposed against particular groups of commodities, their influence affected trade flows between Russia and the EU in all sectors. The proposed methodology of estimating the effect of sanctions on EU-Russia trade is based on the idea of calculating trade potentials and comparing them with actual values. The augmented gravity approach is used to construct an econometric model, while the Poisson pseudo maximum likelihood method is applied to derive unbiased estimates. It is shown that during 2015 – 2019, due to EU sanctions Russia lost USD 41.3 billion in export revenues annually, comprising 2.5 percent of its GDP. Russian exports to Europe declined in all basic industries, but the petroleum industry took 91.2 percent of the total losses. European aggregate exports to Russia have not suffered from mutual sanctions: although the European food industry lost USD 2.7 billion annually, these losses were compensated for by export growth in other industries.
We analyze the influence of sanctions on bilateral trade flows between the European Union and the Russian Federation during 2015 – 2019. Despite trade sanctions and counter-sanctions being imposed against particular groups of commodities, their influence affected trade flows between Russia and the EU in all sectors. The proposed methodology of estimating the effect of sanctions on EU-Russia trade is based on the idea of calculating trade potentials and comparing them with actual values. The augmented gravity approach is used to construct an econometric model, while the Poisson pseudo maximum likelihood method is applied to derive unbiased estimates. It is shown that during 2015 – 2019, due to EU sanctions Russia lost USD 41.3 billion in export revenues annually, comprising 2.5 percent of its GDP. Russian exports to Europe declined in all basic industries, but the petroleum industry took 91.2 percent of the total losses. European aggregate exports to Russia have not suffered from mutual sanctions: although the European food industry lost USD 2.7 billion annually, these losses were compensated for by export growth in other industries.
Ako citovať:
ISO 690:
Drapkin, I., Sidorov, K., Mariev, O. 2022. The Effect of Sanctions on EU-Russia Trade: The Study for 2015 – 2019. In Ekonomický časopis/Journal of Economics, vol. 70, no.9-10, pp. 743-767. 0013-3035. DOI: https://doi.org/10.31577/ekoncas.2022.09-10.04
APA:
Drapkin, I., Sidorov, K., Mariev, O. (2022). The Effect of Sanctions on EU-Russia Trade: The Study for 2015 – 2019. Ekonomický časopis/Journal of Economics, 70(9-10), 743-767. 0013-3035. DOI: https://doi.org/10.31577/ekoncas.2022.09-10.04
O vydaní:
Vydavateľ: Ekonomický ústav SAV / Ekonomický ústav SAV
Publikované: 31. 12. 2022