Abstract: Using panel data from Anhui Province from 2014 to 2020, combined with the super efficiency SBM and Global Malmquist index model, the time and spatial efficiency of forestry poverty alleviation in 12 counties in contiguous poverty-stricken areas of the Dabie Mountains in Anhui Province was evaluated. The results showed that the forestry poverty alleviation efficiency was relatively high in 12 counties in Anhui Province, and the forestry poverty alleviation efficiency in most counties was on the rise;technological efficiency progress was the main driving factor for the improvement of total factor production efficiency;regions with higher forestry economic efficiency had better greening and ecological environment construction;there were differences in the efficiency of forestry poverty alleviation among 12 counties, and the influencing factors varied. It was proposed to carry out support for characteristic forestry industries and tap into the multidimensional potential of forestry development;improve forestry poverty alleviation technology and scale efficiency, and optimize the allocation of forestry technology development factors;scientifically utilize forestry poverty alleviation models to enhance the endogenous sustainable development of the forestry industry;reasonably plan forestry industry resources and strive to achieve a win-win situation of ecological protection and consolidating poverty alleviation achievements.

Key words: contiguous poverty-stricken areas, efficiency of forestry poverty alleviation, super efficiency SBM, Global Malmquist index, Dabie Mountain, Anhui Province