Farmers' participation in food safety governance is an important part of food safety social co-governance, and the accurate identification of its influencing factors and their related paths is of guiding significance to the scientific decision-making of food safety governance. The system of influencing factors of farmers' participation in food safety governance was constructed from four dimensions, and the influence network of each dimension was revealed by decision laboratory analysis (DEMATEL). The hierarchical structure and correlation path of influencing factors were determined by interpretive structural model (ISM), and the attributes of influencing factors were further classified by cross influence matrix multiplication (MICMAC). The results show that the influencing factors of farmers' participation in food safety governance can be divided into seven levels, among which the level of education and the status of village cadres are the fundamental characteristic factors. The degree of rural informatization, the intensity of government supervision, the promotion of village committees, the response of the government and the degree of disclosure of government information are the deep core factors, and risk cognition, political trust and family eating habits are special factors. Taking the importance and attribute status of farmers' participation in food safety governance into decision-making considerations is of great significance to improve the efficiency of food safety governance.

It is of great significance to explore the effect of government subsidies and technical support on rural residents’ green production for improving the level of agricultural green development in the context of the green and high-quality development. Based on the theory of rural residents’ behavior, this paper empirically examined the impact of government subsidies and technical support on rural residents’ green production by using the ordered logit model and household survey data of CLES2022. Additionally, it applied the mediating effects model to explore the transmission mechanism. The results indicate that: (1) Government subsidies and technical support have a significant positive influence on rural residents’ green production. After controlling the characteristics of individuals, families, and cultivated land, the path coefficient is determined to be 0.032, which is significant at the 0.01 level; technical support significantly affects rural residents’ green production, and the path coefficient is 0.390, which is statistically significant at the 0.05 level. The above results are still valid after a robustness test. (2) In terms of the mechanism, government subsidies and technical support promote rural residents’ green production through service outsourcing and productive assets. On this basis, the paper proposed some policy suggestions, such as giving full play to the guiding role of government subsidies, increasing government technical support, establishing a service outsourcing platform, as well as strengthening supervision and evaluation.

Farmers' participation in food safety governance is an important part of food safety social co-governance, and the accurate identification of its influencing factors and their related paths is of guiding significance to the scientific decision-making of food safety governance. The system of influencing factors of farmers' participation in food safety governance was constructed from four dimensions, and the influence network of each dimension was revealed by decision laboratory analysis (DEMATEL). The hierarchical structure and correlation path of influencing factors were determined by interpretive structural model (ISM), and the attributes of influencing factors were further classified by cross influence matrix multiplication (MICMAC). The results show that the influencing factors of farmers' participation in food safety governance can be divided into seven levels, among which the level of education and the status of village cadres are the fundamental characteristic factors. the degree of rural informatization, the intensity of government supervision, the promotion of village committees, the response of the government and the degree of disclosure of government information are the deep core factors, and risk cognition, political trust and family eating habits are special factors. Taking the importance and attribute status of farmers' participation in food safety governance into decision-making considerations is of great significance to improve the efficiency of food safety governance.