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Article

Assessment of Inter-Sectoral Virtual Water Reallocation and Linkages in the Northern Tianshan Mountains, China

by 1,†, 2,*,†, 3,†, 1,*, 4 and 5
1
School of Economics & Trade, Hunan University, Changsha 410000, China
2
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
3
College of Water and Architectural Engineering, Shihezi University, Shihezi 832000, China
4
College of Geography and Environment Science, Northwest Normal University, Lanzhou 730000, China
5
Institute of Blue and Green Development, Shandong University, Weihai 264209, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this study and share first authorship.
Water 2020, 12(9), 2363; https://doi.org/10.3390/w12092363
Received: 21 July 2020 / Revised: 17 August 2020 / Accepted: 20 August 2020 / Published: 23 August 2020
(This article belongs to the Special Issue Virtual Water Trade and Water Resources Economics)
Quantitative analysis of the reallocation and linkages of virtual water in the economic sector was important for the integrated water resources management in inland arid regions. Taking the northern Tianshan Mountains (NTM) as an example, we applied the environmental input-output model to design the accounting framework for the reallocation of blue and green virtual water (VW) in the economic sector and analyzed the correlation effect of VW reallocation among various sectors by backward and forward linkages in economic analysis. The results showed that the direct blue and green water consumption of primary industry respectively accounted for 99.2% and 100% of the total water consumption in NTM. Planting sector had the largest amount of VW outflow among all sectors. Animal husbandry, forestry and construction had a large pulling effect on VW outflow of planting sector, while planting sector and animal husbandry were the main sectors for VW export of blue and green water. We suggest that the government can increase the import of blue-green VW for agricultural raw materials through VW trade and develop industries such as service and electricity that have less pulling effect on the primary industry VW, so as to improve the economic added value of VW in the primary industry and reduce the loss of VW in primary industry production and trade flows in future water management. View Full-Text
Keywords: blue water; green water; water shortage; normalized backward linkages; internal allocation blue water; green water; water shortage; normalized backward linkages; internal allocation
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MDPI and ACS Style

Gao, D.; Long, A.; Yu, J.; Xu, H.; Su, S.; Zhao, X. Assessment of Inter-Sectoral Virtual Water Reallocation and Linkages in the Northern Tianshan Mountains, China. Water 2020, 12, 2363. https://doi.org/10.3390/w12092363

AMA Style

Gao D, Long A, Yu J, Xu H, Su S, Zhao X. Assessment of Inter-Sectoral Virtual Water Reallocation and Linkages in the Northern Tianshan Mountains, China. Water. 2020; 12(9):2363. https://doi.org/10.3390/w12092363

Chicago/Turabian Style

Gao, Dedao, Aihua Long, Jiawen Yu, Helian Xu, Shoujuan Su, and Xu Zhao. 2020. "Assessment of Inter-Sectoral Virtual Water Reallocation and Linkages in the Northern Tianshan Mountains, China" Water 12, no. 9: 2363. https://doi.org/10.3390/w12092363

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