Purpose: The flow of the Sino-Brazilian frozen beef trade has intensified. Thus, the purpose of this paper is to characterize the supply chain structure, and identify its major fragilities. Design/methodology/approach: Supply chain mapping was conducted based on the existing literature and primary data collection. Key stakeholders were detected and questioned through semi-structured interviews, which were later interpreted with content analysis. Findings: The results reveal a low degree of chain coordination from the Brazilian farm to the Chinese consumer, arising from an immature traceability mechanism, a limited flow of reliable information between the segments, and low trust between the stakeholders. Research limitations/implications: The infancy of the beef trade, the paucity of literature on the topic, and restricted accessibility to key governmental and official materials imposes limits on the available information. Language and cultural barriers might have also impacted the interviewees’ responses. However, the participation of Brazilian and Chinese academics in both the interview analysis and chain mapping mitigates these shortcomings. Practical implications: The Brazilian public and private sectors need to establish a reliable traceability system and information platform. This, together with investments in marketing and branding, would facilitate differential responses among traders and consumers, and, hence, improve supply chain sustainability. Originality/value: By adopting an inter-country approach and directly sourcing views from specific key figures in the supply chain this study offers some unique insights and contributes to the literature on the emergence of a multi-polar global food trade.

China has undergone rapid economic growth and diet transition over the past decades, along with environmental challenges. To help to achieve carbon peaking by 2030, this study investigates the time-variable diet-related greenhouse gas emissions (GHGEs) from 2000 to 2020 and examines the responses of food demands and diet-related GHGEs to an increase in per capita income and animal-based food prices. Based on the Almost Ideal Demand System model, addressing the problem of the endogeneity of food expenditure, we estimate the demand elasticities for six food groups and analyze their changing trends with time. Then, we perform two projections. One is to project the impacts of income growth on food demands and diet-related GHGEs, taking into consideration dynamic income elasticities as per capita income increases; the other is to project the effects of an increase in prices of different animal-based foods on food demands and diet-related GHGEs. Our results reveal that diet-related agricultural GHGEs show a continued increase in the short term, but the increased effect tends to decline gradually. The dominant driver of increased diet-related GHGEs is the increased consumption of beef, mutton, and pork. However, an increase in prices of beef and mutton; pork; and poultry and eggs can reduce diet-related GHGEs, while a decrease in the prices of aquatic products can also deliver a significant decrease in GHGEs. The results imply that policymakers should take an interest in the environmental impacts of diet transition and promote a more sustainable diet structure.