This paper firstly constructs the matrix of eigenvalues of agricultural economy and ecological environment based on the original data, uses the entropy value method to judge the degree of dispersion of the indexes, determines the weights of the comprehensive evaluation index system of agricultural economy and ecological environment, and calculates the comprehensive scores of the agricultural economy and ecological environment system based on the weights of the indexes. Then, the synchronization development index model was used to express the coupled and coordinated development relationship between agroecology and agroeconomy. Finally, the regression analysis model was used to analyze the factors that affect the coupled and coordinated development of agroecology and agroeconomy. The level of agroecology in County A grew from 0.1 to 0.85, and the level of agroeconomy from 0.267 to 0.7. The value of agroeconomy and ecology coupling degree increased from 0.434 in 2010 to 0.683 in 2020, and it was gradually transformed from a dysfunction to a barely coupled one. This study deeply analyzes the influencing factors affecting the coupling and coordinated development of the agricultural economy and ecology, which is of great significance for promoting the high-quality development of the agricultural economy and maintaining ecological security.