首页|Spatial Heterogeneity of Embedded Water Consumption from the Per-spective of Virtual Water Surplus and Deficit in the Yellow River Basin,China

Spatial Heterogeneity of Embedded Water Consumption from the Per-spective of Virtual Water Surplus and Deficit in the Yellow River Basin,China

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Virtual water trade(VWT)provides a new perspective for alleviating water crisis and has thus attracted widespread attention.However,the heterogeneity of virtual water trade inside and outside the river basin and its influencing factors remains further study.In this study,for better investigating the pattern and heterogeneity of virtual water trade inside and outside provincial regions along the Yellow River Basin in 2015 using the input-output model(MRIO),we proposed two new concepts,i.e.,virtual water surplus and virtual water deficit,and then used the Logarithmic Mean Divisia Index(LMDI)model to identify the inherent mechanism of the imbalance of virtual water trade between provincial regions along the Yellow River Basin and the other four regions in China.The results show that:1)in provincial regions along the Yellow River Basin,the less developed the economy was,the larger the contribution of the agricultur-al sector in virtual water trade,while the smaller the contribution of the industrial sector.2)Due to the large output of agricultural products,the upstream and midstream provincial regions of the Yellow River Basin had a virtual water surplus,with a net outflow of virtual water of 2.7×108 m3 and 0.9×108 m3,respectively.3)provincial regions along the Yellow River Basin were in a virtual water deficit with the rest of China,and the decisive factor was the active degree of trade with the outside.This study would be beneficial to il-luminate the trade-related water use issues in provincial regions along the Yellow River Basin,which has far-reaching practical signific-ance for alleviating water scarcity.

virtual water trade(VWT)input-output model(MRIO)virtual water surplusvirtual water deficitYellow River Basin,China

MA Weijing、LI Xiangjie、KOU Jingwen、LI Chengyi

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College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China

State Key Laboratory of Hydraulics and Mountain River Engineering,College of Water Resource and Hydropower,Sichuan University,Chengdu 610065,China

School of Economics and Management,Ningxia University,Yinchuan 750021,China

National Natural Science Foundation of China'Double First-Class'University Construction Project of Lanzhou University

42201302561120213

2024

中国地理科学(英文版)
中国科学院长春地理研究所

中国地理科学(英文版)

CSTPCD
影响因子:0.754
ISSN:1002-0063
年,卷(期):2024.34(2)
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