Improving the green efficiency of industrial water resources (GEIWR) in the Poyang Lake region is an effective way to address the inefficient use of regional water resources and mitigate severe industrial water pollution. This paper uses the super efficiency slack-based measure (SBM) model to analyze the spatial and temporal evolution of the GEIWR from 2005 to 2019, and use the Tobit regression model to explore the factors affecting the GEIWR in the Poyang Lake region. The results are as follows. First, the average value of the GEIWR in the Poyang Lake region is 0.71, and the overall level is high, but the regional differences are apparent. Second, the overall GEIWR in the region show an increasing trend, but the development of various regions is uneven, and the difference in pure technical efficiency among cities is the main reason for the difference in the GEIWR from 2005 to 2019. Third, Jingdezhen is the city with the lowest GEIWR, and it is also the key to improving the overall efficiency of the region. Finally, the treatment capacity of industrial wastewater facilities, the government's deployment of science and technology expenditures and the degree of industrialization have a positive impact on the GEIWR. The economic development level and industrial water intensity have no obvious correlation with the GEIWR in the Poyang Lake region.

提高鄱阳湖地区工业水资源绿色效率（GEIWR），是解决区域水资源利用效率低下、缓解工业水严重污染的有效途径。本文利用超效率松弛测度（SBM）模型分析了2005-2019年GEIWR的时空演化，并利用Tobit回归模型探讨了鄱阳湖地区GEIWR的影响因素。结果如下。一是鄱阳湖地区GEIWR平均值为0.71，总体水平较高，但区域差异明显。二是全区GEIWR总体呈上升趋势，但各地区发展不平衡，而城市间纯技术效率的差异是造成2005-2019年GEIWR差异的主要原因。第三，景德镇是GEIWR最低的城市，也是提升区域整体效率的关键。最后，工业废水设施的处理能力、政府对科技支出的部署和工业化程度对GEIWR有积极影响。鄱阳湖地区经济发展水平和工业用水强度与GEIWR无明显相关性。科技支出的部署和产业化程度对 GEIWR 产生积极影响。鄱阳湖地区经济发展水平和工业用水强度与GEIWR无明显相关性。科技支出的部署和产业化程度对 GEIWR 产生积极影响。鄱阳湖地区经济发展水平和工业用水强度与GEIWR无明显相关性。