Higher education, as the most important link in the national education system, shows an imbalance in the allocation of its human resources in both time and space. In view of this, this paper uses the DEA-BCC model and the spatial measurement model to construct a higher education human resource allocation efficiency measurement model, which is used to analyze in depth the imbalanced state of regional allocation of higher education human resources in China. The model is utilized to conduct empirical research on the equity of regional human resource allocation in higher education. To explore the higher education human resource allocation efficiency and its spatial status in three major regions (31 provinces) of China from 2016-2023. Using statistical data, the number of full-time teachers, the number of enrolled students, and the teacher-student ratio in higher education in each region are analyzed. The mean values of higher education human resource allocation efficiency in the three major regions of China, from high to low, are in the central region (0.988), the eastern region (0.953), and the western region (0.928). Among the 31 provinces, Beijing, Shanghai and Henan have the highest value of technical efficiency (1.000), the lowest value of technical efficiency in Tibet (0.768), and the national average value of technical efficiency is 0.950. The eastern region has more faculty and educated groups than the central and western regions. The average faculty-to-student ratios in the three regions in 2020 are 1:16.04, 1:20.25, and 1: 17.53, all of which have room for adjustment.