收藏切换
Temporal and spatial differentiation and influencing factors of industrial water resources efficiency in nine provinces (regions) of the Yellow River Basin
收藏切换
PDF
Science & Technology Review | 2022, 40(19) : 71 - 80
Less
收藏切换
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
Full
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
收藏切换
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
528
95
Cite this Article
BibTeX
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
Article Data
Affiliations
History
  • Received:2022-04-12
  • Revised:2022-08-30
Affiliations
References
Share
https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2022.19.008
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT