The effects of social network and environmental risk perception on farmers' willingness to participate in the management of black-smelling water

Based on the field research data in Shaanxi area, the binary logit model and ISM model were organically combined to study the influencing factors and their hierarchical structure affecting farmers' willingness to participate in the management of black-smell water from the perspective of social network and environmental risk perception. The results of the study show that: blood relationship network, karma relationship network, geographic relationship network, environmental risk factual perception, environmental risk cause perception and environmental risk loss perception have positive influence on farmers' willingness to participate, geographic relationship network, blood relationship network and karma relationship network are the most direct and superficial influencing factors, and environmental risk cause perception is located in the second tier, environmental risk factual perception is located in the third tier, and environmental risk loss perception is the most direct and superficial influencing factor, while environmental risk cause perception is located in the third tier, and environmental risk loss perception is located in the third tier. Perceived environmental risk loss is the lowest and most fundamental influence factor, which will act on the upper-level factors. We empirically analyze the influence of social network and environmental risk perception on farmers' willingness to participate in the management of black-smell water. At the same time, based on the results of ISM model, the hypothesis that social network may play a mediating role is proposed, and the hypothesis is verified. In view of this, it is necessary to establish a governance system with the collaboration of the whole society and the participation of the whole public, and to enhance the willingness of farmers to participate by strengthening the social network and farmers' perception of environmental pollution.