Abstract: Based on input-output and pollutant emission data of pig breeding in Guangxi from 2010 to 2021, SE-SBM model, GML index and panel regression model were applied to study the spatiotemporal evolution and key influencing factors of GML in pig breeding in Guangxi. The results show that the GML of pig breeding experiences fluctuation in Guangxi from 2010 to 2021. The high value area of GML is in eastern Guangxi, while the high value area of technical efficiency (EC) is in western Guangxi, and the high value area of technical progress (TC) is in eastern Guangxi. Among them, the technical efficiency and technological progress of Guigang and Yulin are significantly higher than other cities, and Guigang has the advantage of pure technical efficiency change and growth. The GML is mainly significantly influenced by the per capita disposable income of urban resident, the price of pig, the medical expenses for epidemic prevention and the sewage treatment rate. In conclusion, It indicates that we can take Guigang and Yulin as growth poles to promote large-scale breeding, focus on improving the level of technological progress in the eastern, western and northern of Guangxi, and jointly promote the high-quality development of pig breeding in Guangxi.