This paper employs statistical methods to analyze the relationship between vegetation and climatology variables.Additionally， it quantitatively assesses vegetation feedback over East Asia using the equilibrium feedback assessment （EFA） method.The study reveals a significant correlation between vegetation and climate variables， including temperature and precipitation.In middle and high latitudes， positive feedback is observed between vegetation and temperature， while negative feedback is identified between vegetation and precipitation.In middle and low latitudes， positive feedback is observed between vegetation and precipitation， while negative feedback is identified between vegetation and temperature.In high latitudes， the positive vegetation anomaly tends to reduce the albedo by shading effect， leading to increased energy absorption and warming air during winter and spring.The analysis highlights that in low latitudes， the correlation between leading vegetation and precipitation is highly sensitive.It is mainly because the high year-round temperature in this area leads to the vegetation being dominated by precipitation signals.The study also finds a positive correlation between leading vegetation and precipitation in low latitudes.The increased vegetation stimulates moisture convergence and enhances evapotranspiration， resulting in more precipitation.The vegetation feedback parameter for temperature is positive in regions around the Da Hinggan Mountains and Baikal Lake， predominantly covered by evergreen needle-leaf forests.The feedback parameter in this area is approximately 1 to 2 ℃ · {(\mathrm{0.1}\mathrm{F}\mathrm{P}\mathrm{A}\mathrm{R})}^{-\mathrm{1}}.The positive feedback parameter is identified in the southern part of China， ranging from 0.2 to 1 ℃ · {(\mathrm{0.1}\mathrm{F}\mathrm{P}\mathrm{A}\mathrm{R})}^{-\mathrm{1}}.Regarding precipitation， the feedback parameter exhibits significant noise， making it challenging to distinguish signals except for the positive signal around the North China Plain.In the North China Plain， the feedback parameter for precipitation is approximately 1.5 \mathrm{c} \mathrm{m} · \mathrm{m} \mathrm{o} {\mathrm{n}}^{-\mathrm{1}} · {(\mathrm{0.1}\mathrm{F}\mathrm{P}\mathrm{A}\mathrm{R})}^{-\mathrm{1}}.