黄河流域九省（区）工业水资源效率时空分异及影响因素

 基于非期望产出的超效率EBM模型、ML指数和Tobit模型分析了黄河流域九省（区）2010—2019年工业水资源效率时空分异及影响因素。结果表明：黄河流域九省（区）工业水资源效率整体均值为0.77，未达到有效水平，但呈现出波动上升态势，各省（区）间差异明显，山东效率最高，宁夏最低。ML指数提高的主驱动力源自技术进步，部分省（区）的规模效率阻碍了技术效率对ML指数的正向调节。技术水平和工业化程度对工业水资源效率攀升有促进作用；水资源禀赋、工业用水强度和政府管制强度的负面效应显著。

Temporal and spatial differentiation and influencing factors of industrial water resources efficiency in nine provinces (regions) of the Yellow River Basin

Improving the efficiency of industrial water resource is one way to alleviate the contradiction between water supply and demand and it is also an important guarantee for ecological protection and high-quality development in the Yellow River Basin. Based on the super-efficiency EBM model, ML index and Tobit model of undesired output, this study analyzes the temporal and spatial differentiation and influencing factors of industrial water resource efficiency in the nine provinces (autonomous regions) of the Yellow River Basin from 2010 to 2019. The results indicate that the overall average value of industrial water resource efficiency in the nine provinces is 0.77, lower than the effective level, but shows a fluctuating upward trend. There are obvious differences among these provinces, with Shandong having the highest efficiency and Ningxia the lowest. The main driving force for the improvement of ML index comes from technological progress, and the scale efficiency of some provinces hinders the positive adjustment of ML index by technical efficiency. The technological level and degree of industrialization have a promoting effect on the increase of industrial water resource efficiency; the inhibitory effects of water resource endowment, industrial water use intensity and government regulation intensity are significant. Finally, the article puts forward some corresponding suggestions.