Abstract

Traditional methods of assessing virtual water (VW) trade usually overestimate the foreign VW used by a country as the imported VW can also be re-exported and used by the countries other than the initial importer. Due to its ability to provide better estimates of transboundary resource use, the global value chain (GVC) method can provide more precise guidelines for the global policy debate over sustainable resource use. Here, we use GVC analysis based on multi-regional input-output tables to quantify the embodied trade of virtual blue and green water for China in the major agricultural sectors and agro-based industries. We find that China is a net importer of blue VW (2.9 billion m3) and green VW (57.9 billion m3) through agricultural commodities. Our results reveal that a large portion of imported blue (37%) and green (17%) VW is re-exported by China and consumed in other countries, representing the overestimated parts of China’s VW import use. These ratios are even higher for individual commodities, including 44% for blue VW for cotton and 22% for green VW for grains. This work demonstrates the importance of improved accounting in VW trade to achieve the sustainable use of global water resources and equitably share responsibility between producers, intermediates, and end-users.

Details

Title
Accounting for re-exports substantially reduces China’s virtual water demand through agricultural trade
Author
Ali, Tariq 1   VIAFID ORCID Logo  ; Xie, Wei 2   VIAFID ORCID Logo  ; Zhu, Anfeng 3 ; Kyle Frankel Davis 4   VIAFID ORCID Logo 

 School of Economics and Management, Jiangxi Agricultural University, Nanchang 330045, People’s Republic of China 
 China Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, People’s Republic of China 
 China Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, People’s Republic of China; School of Economics and Management, North China University of Technology, No. 5 Jinyuanzhuang Road, Shijingshan District, Beijing 100144, People’s Republic of China 
 Department of Geography and Spatial Sciences, University of Delaware, Newark, DE 19716, United States of America; Department of Plant and Soil Sciences, University of Delaware, Newark, DE 19716, United States of America 
Publication year
2021
Publication date
Apr 2021
Publisher
IOP Publishing
e-ISSN
17489326
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2512940947
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.