Tea is one of important economic crops in China. Tea pest management is the key to ensure the quantity and its added value. The conventional pest management mode had contributed to saving the amounts of tea but resulted in the pollution dilemma of tea and ecology simultaneously. In contrast, the ecological management mode can alleviate the pollution and increase the safety of tea and farmers’ revenue. However, promotion of the mode was limited in practice. Hence, it is an urgent scientific topic to ascertain the factors and its interaction mechanism of tea farmers’ adoption of the ecological pest management. In this study, the 517 tea farmers were selected randomly in five counties of Fujian province according to the designed questionnaire and some available data were collected to analyze the significant factors affecting tea farmers’ adoption of ecological pest management technology by the Logistic Regression Model. The hierarchy and inner logic relations of these significant factors were then discovered by the Interpretative Structural Modeling (ISM). The results show that tea farmers’ adoption was significantly influenced by three hierarchy factors. The direct factors included annual tea revenue, sales model, frequency of technical training, frequency of government casual inspection and degree of pest occurrence of previous years. The intermediate factors included cognition of cost and benefit change of applying new technology, cooperative member or not and size of tea garden. The basic factors included education level and age. Finally, some suggestions for the promotion of tea ecological pest management were proposed according to these impact factors and their relationships.
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