Science & Technology Review
|
2022, 40(19): 71-80
• Exclusive: Green development •
Temporal and spatial differentiation and influencing factors of industrial water resources efficiency in nine provinces (regions) of the Yellow River Basin
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MIAO Junyu, ZHANG Chunying
Affiliations
Center for Industrial and Business Organization, Dongbei University of Finance and Economics, Dalian 116025, China
Published: 2022-10-13
doi: 10.3981/j.issn.1000-7857.2022.19.008
Outline
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.
industrial water resources
/
water use efficiency
/
spatiotemporal differentiation
/
Yellow River Basin
MIAO Junyu, ZHANG Chunying.
Temporal and spatial differentiation and influencing factors of industrial water resources efficiency in nine provinces (regions) of the Yellow River Basin[J].
Science & Technology Review,
2022
, 40
(19)
: 71
-80
.
DOI: 10.3981/j.issn.1000-7857.2022.19.008
Year 2022 volume 40 Issue 19
PDF
525
94
Cite this Article
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Article Info
doi: 10.3981/j.issn.1000-7857.2022.19.008
- Receive Date:2022-04-12
- Online Date:2022-11-04
- Published:2022-10-13