Artificial meat is a type of food that has emerged in recent years. It is similar in shape, color, and taste to meat. Its market scale is developing rapidly, and its future development prospect is bright. To explore Chinese consumers’ purchasing intention regarding artificial meat products, this study used the framing effect theory to analyze the differences in consumers’ purchasing intentions under different information frames based on the survey data of 6,906 consumers from seven cities in China. Hierarchical regression and variance analysis explored the moderating effects of consumers’ product knowledge level and health motivation on the frame effect. The results show that consumers’ purchase intention under the positive information frame is significantly higher than that under the negative information frame. Consumers with higher product knowledge levels have higher purchase intention under the positive information frame, whereas consumers with lower health motivation have lower purchase intention under the two information frames. The government and relevant enterprises should focus on promoting positive information about artificial meat products, improving consumers’ cognition level of artificial meat products, guiding consumers to form a scientific diet concept to enhance their purchase intention of artificial meat products, and promoting the healthy development of the artificial meat industry.

Ensuring food security has always been a top priority of the Chinese government. However, China’s grain supply is facing challenges due to limited resources for grain production and the growth of domestic grain consumption. Reducing post-harvest grain loss represents one of the most realistic and effective ways to ensure grain security in China. In view of the importance of grain sales in the post-harvest period, we conducted a survey, interviewing 1890 grain sellers across 54 regions in 9 provinces of China, to investigate the factors affecting post-harvest grain loss during sales. The results of the survey show that grain storage conditions have the greatest impact on post-harvest grain loss, followed by transportation. Display and sales have the least impact on grain loss. The Tobit regression model was used to analyze the main factors affecting post-harvest grain loss during sales. The findings suggest that the seller’s education level, years of working as a seller, the conditions of grain storage, and the supply and management level of public facilities in the market were negatively correlated with grain loss in the sales process, whereas the seller’s age, the separation of sales shops and storage warehouses, and the fall season were positively correlated with grain loss. Policy implications are also provided for potential future policy decisions.

Food safety incidents caused by foodborne diseases is the most prominent food safety problem in the world, and especially in China. In order to analyze consumers’ risk perception of foodborne diseases, the present study has expanded previous work by conducting a survey in Wuxi, Jiangsu Province. 834 valid questionnaires were collected. The survey showed that most of the respondents were not familiar with the pathogens. Only 53.24% of the respondents stated that they always separated raw and cooked food during storage and handling. The study provides analysis of individual characteristics who perceived low risk of foodborne diseases, that is, lower education level and lower income. The government should effectively popularize knowledge about food safety, and guide consumers in developing correct eating habits and behaviors, thereby further improving consumers’ understanding and risk perception of foodborne diseases.