scholarly journals Three-Stage Data Envelopment Analysis of Agricultural Water Use Efficiency: A Case Study of the Heihe River Basin

2018 ◽  
Vol 10 (3) ◽  
pp. 568 ◽  
Author(s):  
Guofeng Wang ◽  
Nan Lin ◽  
Xiaoxue Zhou ◽  
Zhihui Li ◽  
Xiangzheng Deng
Keyword(s):  
Data Envelopment Analysis ◽  
Water Use Efficiency ◽  
Water Use ◽  
Heihe River ◽  
Data Envelopment ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Use Efficiency ◽  
The Heihe River Basin

scholarly journals Evaluating agricultural water-use efficiency based on water footprint of crop values: a case study in Xinjiang of China

2020 ◽  
Vol 12 (4) ◽  
pp. 580-593 ◽  
Author(s):  
Yang Hai ◽  
Aihua Long ◽  
Pei Zhang ◽  
Xiaoya Deng ◽  
Junfeng Li ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Water Footprint ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Use Efficiency ◽  
Xinjiang Of China

scholarly journals Spatial–Temporal Evolution Characteristics and Influencing Factors of Agricultural Water Use Efficiency in Northwest China—Based on a Super-DEA Model and a Spatial Panel Econometric Model

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 632
Author(s):  
Weinan Lu ◽  
Wenxin Liu ◽  
Mengyang Hou ◽  
Yuanjie Deng ◽  
Yue Deng ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Water Resource ◽  
Arid Regions ◽  
Econometric Model ◽  
Northwest China ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Use Efficiency ◽  
Semi Arid

Improving agricultural water use efficiency (AWUE) is an important way to solve the shortage of water resources in arid and semi-arid regions. This study used the Super-DEA (data envelopment analysis) to measure the AWUE of 52 cities in Northwest China from 2000 to 2018. Based on spatial and temporal perspectives, it applied Exploratory Spatial Data Analysis (ESDA) to explore the dynamic evolution and regional differences of AWUE. A spatial econometric model was then used to analyze the main factors that influence the AWUE in Northwest China. The results showed firstly that the overall AWUE in Northwest China from 2000 to 2018 presented a steady upward trend. However, only a few cities achieved effective agricultural water usage by 2018, and the differences among cities were obvious. Secondly, AWUE showed an obvious spatial autocorrelation in Northwest China and showed significant high–high and low–low agglomeration characteristics. Thirdly, economic growth, urbanization development, and effective irrigation have significant, positive effects on AWUE, while per capita water resource has a significant, negative influence. Finally, when improving the AWUE in arid and semi-arid regions, plans should be formulated according to local conditions. The results of this study can provide new ideas on the study of AWUE in arid and semi-arid regions and provide references for the formulation of regional agricultural water resource utilization policies as well.

Monitoring regional agricultural water use efficiency for Hebei Province on the North China Plain

2002 ◽  
Vol 53 (1) ◽  
pp. 55 ◽  
Author(s):  
Tim R. McVicar ◽  
Guanglu Zhang ◽  
Andrew S. Bradford ◽  
Huixiao Wang ◽  
Warrick R. Dawes ◽  
...  
Keyword(s):  
Time Series ◽  
Water Use Efficiency ◽  
Water Use ◽  
North China Plain ◽  
North China ◽  
Agricultural Practices ◽  
Water Saving ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Use Efficiency

Increasing competition for water in China, due to industrialisation of its economy and urbanisation of its population, has led to the introduction of water-saving agricultural practices in an attempt to increase agricultural water use efficiency (Ag WUE). This study was conducted to assess whether changes in management practices have increased regional Ag WUE for a focus area covering 20% of the 300 000 km2 North China Plain (NCP). An ‘input–output’ definition of regional Ag WUE was used, where ‘input’ is the water available over the crop growing season and ‘output’ is grain yield. Regional databases of precipitation, irrigation, and yield from 1984 to 1996 were established in a Geographic Information System (GIS) to calculate winter wheat and summer corn Ag WUE on a county basis. For wheat, the average Ag WUE was 7.0 kg/ha.mm in 1984, whereas in 1996 it was 14.3 kg/ha.mm. For corn, Ag WUE increased from 9.0 kg/ha.mm in 1984 to 10.1 kg/ha.mm in 1996, although values >11.5 kg/ha.mm were obtained for both 1991 and 1992. Time series plots of the resulting Ag WUE, and its components, were generated to reveal spatial and temporal variability. Counties with a relatively high mean Ag WUE in combination with low year-to-year consistency have been identified as those with the highest potential for improving Ag WUE management. Total county water resources (WR) were also calculated for the time series, and county-basis normalisation of Ag WUE and WR also showed that there have been recent improvements in Ag WUE. For some counties in wet years, there may be an opportunity to plant larger areas of crop to increase county level Ag WUE. For the focus study site (and for the time series data available), it is most likely that recently introduced water-saving agricultural practices in the NCP are associated with improvements to Ag WUE.

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