苗峻瑜. 黄河流域工业绿色水资源效率时空差异及驱动因素研究[J]. 水利水运工程学报,2023(5):85-94. doi: 10.12170/20220405002
引用本文: 苗峻瑜. 黄河流域工业绿色水资源效率时空差异及驱动因素研究[J]. 水利水运工程学报,2023(5):85-94. doi: 10.12170/20220405002
(MIAO Junyu. Spatial and temporal differentiation and influencing factors of industrial green water resources efficiency in the Yellow River Basin[J]. Hydro-Science and Engineering, 2023(5): 85-94. (in Chinese)). doi: 10.12170/20220405002
Citation: (MIAO Junyu. Spatial and temporal differentiation and influencing factors of industrial green water resources efficiency in the Yellow River Basin[J]. Hydro-Science and Engineering, 2023(5): 85-94. (in Chinese)). doi: 10.12170/20220405002

黄河流域工业绿色水资源效率时空差异及驱动因素研究

Spatial and temporal differentiation and influencing factors of industrial green water resources efficiency in the Yellow River Basin

  • 摘要: 科学评估工业绿色水资源效率并识别其驱动因素,是化解水资源供需矛盾、推动工业绿色转型、推进黄河流域生态保护和高质量发展的基础。基于非期望产出的超效率EBM模型,以黄河流域九省(区)为研究对象,测算2010—2019年黄河流域工业绿色水资源效率;利用GML指数分析工业绿色水资源效率动态变化;最后通过地理探测器模型,对工业绿色水资源效率驱动因子进行探究。研究发现:2010—2019年黄河流域工业绿色水资源效率整体均值只有0.585,未达到有效状态,但呈现出稳定上升趋势,各省(区)间差异明显,陕西最高,宁夏最低,呈东高西低态势。黄河流域工业绿色水资源效率GML指数的提高是技术进步指数和技术效率指数共同推动的结果。自然、社会、经济及环境是黄河流域工业绿色水资源效率的一级驱动因子,科技创新水平、工业用水强度、人口素质水平是驱动力最强的二级指标。

     

    Abstract: Scientifically assessing the efficiency of industrial green water resources and identifying its driving factors is one of the important ways to resolve the contradiction between supply and demand of water resources, promote industrial green transformation, and enhance ecological protection and high-quality development in the Yellow River Basin. Based on the super efficiency EBM model of undesirable output, nine provinces (regions) in the Yellow River Basin were taken as the research object to calculate the industrial green water resources efficiency in the Yellow River Basin from 2010 to 2019. Secondly, GML index was used to analyze the dynamic change of industrial green water efficiency. Finally, the driving factors of industrial green water resources efficiency were explored through the geographical detector model. The results show that the overall mean value of industrial green water resources efficiency in the Yellow River Basin from 2010 to 2019 is only 0.585, which does not reach the effective state, shows a steady upward trend. There are obvious differences in the efficiency values among provinces, with Shaanxi province having the highest efficiency and Ningxia province having the lowest efficiency, and showing a pattern of “the east is greater than the west”. The improvement of GML index of industrial green water efficiency in the Yellow River Basin is driven by both the technical progress index and the technical efficiency index. Nature, society, economy and environment are the primary driving factors of industrial green water resources efficiency in the Yellow River Basin, and the level of scientific and technological innovation, industrial water intensity and population quality are the strongest secondary driving factors.

     

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