Currently, there are obvious regional differences in the allocation of labor education resources, and the efficiency evaluation method is relatively single and lacks a systematic and scientific evaluation system, which makes it difficult to accurately reflect the effectiveness of the implementation of labor education, and restricts the balanced development of labor education and the overall efficiency improvement. This study constructed a labor education evaluation system based on the data envelopment analysis method, and analyzed the efficiency of labor education resource allocation and its influencing factors by selecting 259 relevant data across the country as samples from 2018-2024, using the DEA-BCC model and Malmquist index. The results show that: the mean value of the national labor education resource allocation efficiency in 2018-2024 is 1.083, indicating that the overall efficiency is effective but at a low level; regional differences are significant, with the highest efficiency in the western region (mean 1.353), followed by the central region (mean 1.001), and the lowest in the eastern region (mean 0.849); the efficiency of the allocation of labor education resources in each region has stability and persistence. Effective regions accounted for 58.1% of the total, showing that most regions still have room for improvement. Malmquist index analysis showed that total factor productivity improved in most regions, and the technical progress index improved rapidly after 2021. The analysis of influencing factors found that the number of regional schools, the number of international cooperative research dispatches and the efficiency of labor education are significantly positively correlated, and the proportion of illiterate population is significantly negatively correlated. This study provides theoretical support and practical reference for optimizing the allocation of labor education resources and improving the evaluation system.
