Non-discrimination is a fundamental principle of the World Trade Organization (WTO), which promotes global trade with the goal of eradicating hunger, reducing poverty, and ensuring global prosperity. According to the WTO rules, members are required to give other members most-favoured-nation and national treatment. Due to the military conflict between the Russian Federation and Ukraine, the United States, European Union, and several other member countries suspended most-favoured-nation treatment for Russian goods in mid-March 2022. This study examines the principle of non-discrimination under the WTO provisions, identifies relevant exceptions, analyses the Russia-Traffic in Transit case, and evaluates the appropriateness of the above actions by the US and others. Finally, this paper concludes that the US and its allies failed to present concrete evidence demonstrating a direct and causal relationship between the military situation in Ukraine and their own essential interests under Article XXI of GATT 1994.

To investigate the possibility of discrimination between organic and non-organic rice using stable isotope nitrogen of natural abundance, organic rice of 17 samples and non-organic rice of 13 samples grown at adjoining organic rice field were collected in 2008. Rice was grinded into brown rice, milled rice and hull, and samples were analysed for nitrogen and δ¹⁵N at NICEM. Authors also made inquiries about N source for both farmers who conduct organic- and non-organic rice cultivation. In order to know whether the δ¹⁵N can be used in discrimination between organic and non-organic rice, discriminant analysis were made with SPSS and logistic method. 1. Organic farmers used manure, rice bran, used mushroom culture, fermented fertilizer (company products), and oil cake, but non-organic farmers applied compound fertilizer. Rice straws were remained in organic rice field while moved out in non-organic field. 2. There were difference in δ¹⁵N among organic rice and its byproduct(7.760‰ in hull, 6.720‰ in rice), but significant difference was not found between them. And the trend was same between province. Non-organic rice showed similar results. 3. Significant difference of δ¹⁵N were found between organic rice and non-organic rice (p＜0.01) and between hull of organic rice and that of non-organic rice hull (p＜0.05). δ¹⁵N seemed to be useful criteria for discrimination of organic and non-organic rice. 4. When applied discrimination analysis of SPSS and logistic, there were significant difference between organic rice, non-organic rice and its byproducts except brown rice and hull in SPSS method. Hull can be used as the most useful component for unknown sample prediction with 83.3% probability.