Construction and application of multi-dimensional food safety evaluation index system model

Abstract

Objective: It was the method of evaluating regional food safety status through food safety evaluation index model. Methods: In the index model, various factors affecting food safety, such as the size of the city, the types of food, the hazards of the test items, the place of production, etc., were comprehensively considered, and a variety of data sources were used to support the model. Using this model, the results of food safety index could be calculated from multiple angles and different levels, such as region, food category, region and food category. Results: Sampling data of Guangxi food safety assessment in 2021 had been utilized for empirical research. The classic large sample estimation method and empirical Bayesian estimation method had been applied for model calculation. It was found that the results from these two methods had a certain differences, but both methods got the same results showing that restaurant and catering food safety was significantly poorer than other food categories. In addition, the Bayesian estimation method could effectively solve the calculation problem when the pass rate was 100% or the values were largely close. Conclusion: The model could calculate the food safety index results from multiple angles and different levels, such as regions, food types.

Keywords

• food safety
• evaluation index system model
• classic large sample estimation method
• empirical bayesian estimation method