Abstract
BACKGROUND: Forest carbon sink is a natural solution to reduce carbon emissions and balance the carbon cycle, and forest carbon sink loan is an important financial innovation to support cleaner production, but the project promotion faces many challenges. This paper investigates the Anji's bamboo carbon sink loan project in China and reveals the influencing factors of farmers' participation. RESULTS: Farmers are driven by interests and have a high degree of participation in the bamboo forest carbon sink loan program, but they do not know enough about the internal mechanism. Based on the neural network and FP-Growth algorithm association rule analysis, it was found that the willingness of farmers to participate in the project was mainly affected by age, education level, and source of income, and the concentration of the population was characterized by older age and lower education level. Using fuzzy set qualitative comparative analysis, the respondents can be divided into risk-averse groups, active participation groups, experience-dependent groups, and cost-sensitive groups. CONCLUSIONS: Differentiated measures should be implemented for different groups to promote the implementation of carbon sink projects.