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
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 tempora...
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MDPI AG
2021-02-01
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author | Weinan Lu Wenxin Liu Mengyang Hou Yuanjie Deng Yue Deng Boyang Zhou Kai Zhao |
author_facet | Weinan Lu Wenxin Liu Mengyang Hou Yuanjie Deng Yue Deng Boyang Zhou Kai Zhao |
author_sort | Weinan Lu |
collection | DOAJ |
description | 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. |
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spelling | doaj.art-b77c521c8438496196193a659e3e2a7b2023-12-03T11:51:57ZengMDPI AGWater2073-44412021-02-0113563210.3390/w13050632Spatial–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 ModelWeinan Lu0Wenxin Liu1Mengyang Hou2Yuanjie Deng3Yue Deng4Boyang Zhou5Kai Zhao6College of Economics and Management, Northwest A&F University, Taicheng Road, Yangling 712100, ChinaCollege of Economics and Management, Northwest A&F University, Taicheng Road, Yangling 712100, ChinaCollege of Economics and Management, Northwest A&F University, Taicheng Road, Yangling 712100, ChinaCollege of Economics and Management, Northwest A&F University, Taicheng Road, Yangling 712100, ChinaCollege of Economics and Management, Northwest A&F University, Taicheng Road, Yangling 712100, ChinaCollege of International Relations, Xi’an International Studies University, Xi’an 710061, ChinaCollege of Economics and Management, Northwest A&F University, Taicheng Road, Yangling 712100, ChinaImproving 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.https://www.mdpi.com/2073-4441/13/5/632agricultural water use efficiencyspatial–temporal evolutioninfluencing factorsNorthwest Chinaspatial econometric model |
spellingShingle | Weinan Lu Wenxin Liu Mengyang Hou Yuanjie Deng Yue Deng Boyang Zhou Kai Zhao 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 agricultural water use efficiency spatial–temporal evolution influencing factors Northwest China spatial econometric model |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | agricultural water use efficiency spatial–temporal evolution influencing factors Northwest China spatial econometric model |
url | https://www.mdpi.com/2073-4441/13/5/632 |
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