Evaluation of China's water-resource utilization efficiency based on a DEA-Tobit two-stage model

In this paper, a Data Envelopment Analysis-Tobit (DEA-Tobit) two-stage model was used to evaluate the efficiency of water-resource utilization, and the regional differences and influencing factors on water-resource utilization were analyzed. The results of the analysis of regional differences show t...

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Autor principal: Y. Yang
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Lenguaje:EN
Publicado: IWA Publishing 2021
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spelling oai:doaj.org-article:d831f95c628d4421a01306f695e7f9322021-11-06T07:15:39ZEvaluation of China's water-resource utilization efficiency based on a DEA-Tobit two-stage model1606-97491607-079810.2166/ws.2020.349https://doaj.org/article/d831f95c628d4421a01306f695e7f9322021-06-01T00:00:00Zhttp://ws.iwaponline.com/content/21/4/1764https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798In this paper, a Data Envelopment Analysis-Tobit (DEA-Tobit) two-stage model was used to evaluate the efficiency of water-resource utilization, and the regional differences and influencing factors on water-resource utilization were analyzed. The results of the analysis of regional differences show that China's water-use efficiency is relatively low. Only Beijing, Shanghai, and Fujian have water-use efficiency higher than 0.8, whereas most other provinces and cities have an efficiency of 0.3–0.8. The eastern region demonstrates a higher water-resource utilization efficiency than the central and western regions. The analysis of the influencing factors of regional differences in water-use efficiency found that per capita water resources, per capita domestic water use, and the proportion of primary and secondary industries all have a negative impact on the efficiency of water use, and per capita GDP has a positive impact on the efficiency of water use. Agricultural water consumption, industrial water consumption, domestic water consumption, and total ecological water consumption all have a negative impact on water-resource utilization efficiency, of which domestic water consumption and industrial water consumption have a greater impact. Technological level and water-resource utilization efficiency show a significant positive correlation. HIGHLIGHTS Selects a DEA-Tobit two-stage model to evaluate water-resource utilization efficiency.; Analyzed the differences in water use efficiency in various regions of China.; Analyzed the influencing factors of water-resource utilization efficiency.; Proposes countermeasures to improve water-resource utilization efficiency.;Y. YangIWA Publishingarticledea-tobit modelinfluence factorsregional differencessustainable developmentutilization efficiencywater resourcesWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 4, Pp 1764-1777 (2021)
institution DOAJ
collection DOAJ
language EN
topic dea-tobit model
influence factors
regional differences
sustainable development
utilization efficiency
water resources
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
spellingShingle dea-tobit model
influence factors
regional differences
sustainable development
utilization efficiency
water resources
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
Y. Yang
Evaluation of China's water-resource utilization efficiency based on a DEA-Tobit two-stage model
description In this paper, a Data Envelopment Analysis-Tobit (DEA-Tobit) two-stage model was used to evaluate the efficiency of water-resource utilization, and the regional differences and influencing factors on water-resource utilization were analyzed. The results of the analysis of regional differences show that China's water-use efficiency is relatively low. Only Beijing, Shanghai, and Fujian have water-use efficiency higher than 0.8, whereas most other provinces and cities have an efficiency of 0.3–0.8. The eastern region demonstrates a higher water-resource utilization efficiency than the central and western regions. The analysis of the influencing factors of regional differences in water-use efficiency found that per capita water resources, per capita domestic water use, and the proportion of primary and secondary industries all have a negative impact on the efficiency of water use, and per capita GDP has a positive impact on the efficiency of water use. Agricultural water consumption, industrial water consumption, domestic water consumption, and total ecological water consumption all have a negative impact on water-resource utilization efficiency, of which domestic water consumption and industrial water consumption have a greater impact. Technological level and water-resource utilization efficiency show a significant positive correlation. HIGHLIGHTS Selects a DEA-Tobit two-stage model to evaluate water-resource utilization efficiency.; Analyzed the differences in water use efficiency in various regions of China.; Analyzed the influencing factors of water-resource utilization efficiency.; Proposes countermeasures to improve water-resource utilization efficiency.;
format article
author Y. Yang
author_facet Y. Yang
author_sort Y. Yang
title Evaluation of China's water-resource utilization efficiency based on a DEA-Tobit two-stage model
title_short Evaluation of China's water-resource utilization efficiency based on a DEA-Tobit two-stage model
title_full Evaluation of China's water-resource utilization efficiency based on a DEA-Tobit two-stage model
title_fullStr Evaluation of China's water-resource utilization efficiency based on a DEA-Tobit two-stage model
title_full_unstemmed Evaluation of China's water-resource utilization efficiency based on a DEA-Tobit two-stage model
title_sort evaluation of china's water-resource utilization efficiency based on a dea-tobit two-stage model
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/d831f95c628d4421a01306f695e7f932
work_keys_str_mv AT yyang evaluationofchinaswaterresourceutilizationefficiencybasedonadeatobittwostagemodel
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