Parameter Dataset for Evolutionary Game Analysis of Farmers' Organic Fertilizer Adoption Behavior

This paper provides a parameter dataset supporting the evolutionary game analysis of farmers' organic fertilizer adoption behavior. The data collection process included the following steps: First, based on literature review and field surveys, key variables influencing the decision-making of four stakeholders—farmers, government, resource recyclers, and consumers—were identified. Second, 23 core parameters in the model were assigned values through systematic review of national and local policy documents (such as the "Administrative Measures for the Central Budget Investment Special Fund for Ecological Protection and Restoration Projects" and the "Management Rules for Organic Product Certification Fees"), official statistics, published literature, and field research. Finally, multi-source data were standardized to ensure data consistency and comparability. This dataset encompasses parameters including costs, benefits, subsidies, losses, and trust levels. The value of this dataset lies in: 1) providing a calibratable parameter benchmark for evolutionary game research in the field of sustainable agriculture; 2) enabling other scholars to replicate, validate, or extend the model results of this study; 3) offering data support for policymakers to simulate the effects of different subsidy, regulatory, and certification strategies; and 4) serving as a methodological reference for parameter collection in subsequent similar studies.