Abstract: Based on the educational statistics and national statistical yearbook data from 2013 to 2022， the provincial spatial distribution pattern of doctoral faculty in Chinese universities and its influencing factors were explored by comprehensively applying methods such as proportion series， agglomeration degree， spatial autocorrelation and spatial Durbin model. The results showed that： 1） The provincial scale of doctoral faculty in Chinese universities presented a development trend toward equilibrium； 2） In 2013， the densely distributed regions were concentrated in Beijing， Tianjin and Shanghai， while the sparsely distributed ones included Inner Mongolia， Guangxi， Guizhou， Yunnan， Xizang， Qinghai and Xinjiang. By 2022， the agglomeration degree of Beijing dropped to a moderately dense level， and Inner Mongolia was transformed into a region below the average level； 3） The global Moran's I index indicated that the spatial distribution of doctoral faculty density in universities had significant agglomeration characteristics， which showed a trend of intensification before 2018 and attenuation afterward. The scatter plot of local Moran's I index revealed that the hot spots in 2013 were Beijing， Tianjin， Shanghai， Jiangsu and Zhejiang， whereas 20 provinces including Shanxi were cold spots； By 2022， Heilongjiang was added as a new cold spot； 4） The distribution of doctoral faculty in universities had an obvious spatial spillover effect. Wage levels， consumer spending， medical services and talent policies were the main factors affecting its distribution， among which the driving effect of talent policies was the most prominent.