Abstract: [Objective] The study aimed to scientifically evaluate the high-quality development level of animal husbandry in different regions of China, analyze the key issues faced by regional animal husbandry development, and propose reasonable policy recommendations. [Methods] Based on four key elements of high-quality development-innovation, coordination, greenness, and sharing-a complete evaluation index system was constructed, with representative variables selected as secondary indicators. The entropy weight-TOPSIS model was applied to empirically assess the high-quality development level of animal husbandry in 31 provinces （excluding Hong Kong, Macao, and Taiwan） of China from 2012 to 2023. [Results] Innovation and coordination development levels received the highest weights, reflecting the emphasis placed on innovation and coordinated development in promoting high-quality animal husbandry in China. At the specific indicator level, the total number of technicians in animal husbandry stations, labor productivity of employees, and beef output were the important factors influencing the high-quality development of animal husbandry. Constrained by resources, technology, and supply structure, the high-quality development scores of animal husbandry in all regions during 2012-2023 did not exceed 0.6. Provinces such as Henan, Shandong, Hebei, Inner Mongolia, Xinjiang, and Liaoning showed relatively high levels of high-quality development in animal husbandry, while provinces in the northwest and southwest, including Guizhou, Chongqing, Ningxia, Qinghai, and Xizang, scored significantly lower, and other provinces generally remained at intermediate levels. In general, northeastern and central regions outperformed northwestern and southwestern regions. [Conclusion] All regions should increase investment in animal husbandry, strengthen regional cooperation, extend industrial chains, and promote coordinated high-quality development of animal husbandry nationwide.

Key words: animal husbandry, high-quality development, entropy-weighted TOPSIS model, evaluation index system