As a large tourism province, Hainan Province produces carbon emissions from the tourism industry that should not be underestimated. In view of the problems reflected, this paper designs a research program based on the data envelopment analysis model to evaluate the carbon emission efficiency of Hainan’s tourism industry and optimize the emission reduction path. The tourism industry of 10 regions in Hainan Province is taken as the object of this study, and the DEA-SMB model is designed. Drawing on existing research results, nine carbon emission efficiency evaluation indicators for the tourism industry in Hainan are set, in addition to improving the principle of measuring carbon emissions and energy consumption in the tourism industry. In order to better promote the green, lowcarbon and sustainable development of the tourism industry, it is proposed to adopt the DEA-SMB model to optimize the carbon emissions of the tourism industry in Hainan Province. Finally, the 2005- 2024 Hainan Tourism Statistical Yearbook is taken as the main data source of this study, and combined with related research data, the optimization effect of carbon emission efficiency and emission reduction path of Hainan tourism industry is explored. In the optimization process of tourism carbon emissions in 10 regions of Hainan Province, the model of this paper has a particularly prominent effect on the optimization of tourism emission reduction in region C, and its emission reduction efficiency is increased to 64.21%, which verifies the tourism emission reduction effect of the model of this paper, and also reflects that there is still a huge room for improvement in local tourism emission reduction projects in Hainan Province.