Industrial energy consumption is the main source of greenhouse gas emission,and it is an important way for mitigating the current climate change to improve the industrial energy environment efficiency.Focusing on air emissions and taking industrial CO_2,SO_2 and PM_(10) emissions as undesired outputs,this paper uses the non-radial directional distance function to measure China's industrial energy environmental efficiency in 30 provinces from 1998 to 2014 and employs a spatial econometric regression model to analyze its spatial autocorrelation and influencing factors.The research results show that China's industrial energy environment efficiency presents an upward trend as a whole,however,significant differences exist in different regions,with the industrial energy environment efficiency of the eastern and central regions significantly higher than that of the western regions;that China's industrial energy environment efficiency has a significant positive spatial correlation,and most provinces of the western region exhibit a low-low assemble;that environmental regulations are an important influencing factor for China's industrial energy environment efficiency,and China should promote a high-quality economic development and a high-level protection of the ecological environment coordinately;and that the improvement of energy consumption structure and the shareholding system reform of state-owned enterprises can help to increase China's industrial energy environment efficiency.