2020
DOI: 10.1016/j.advwatres.2020.103560
|View full text |Cite
|
Sign up to set email alerts
|

Efficiency and sustainability of inter-provincial crop-related virtual water transfers in China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
8
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 31 publications
(10 citation statements)
references
References 47 publications
0
8
0
1
Order By: Relevance
“…The unit WF of crops is calculated using the fast track method (Tuninetti et al 2017), which has been extensively used (Dalin et al 2012, Tuninetti et al 2020, Ma et al 2021, Liu et al 2021b. The method has been demonstrated to be acceptable at a global scale (with a standard deviation of the error of approximately 0.1) (Tuninetti et al 2017) and a national scale (with a difference between the FastTrack and WF assessment manual method within 20% in China) (Gao et al 2020) The total WF of animal products is composed of feed crop WF, which accounts for 98% of the total WF, service water, and drinking water consumed (Mekonnen and Hoekstra 2010). The feed conversion efficiency of the animal, feed composition, and feed origin are predominant in the WF of the animal, and the production system influences these three factors (Mekonnen and Hoekstra 2010).…”
Section: Wf and Lf Accounting Related To Flwmentioning
confidence: 99%
“…The unit WF of crops is calculated using the fast track method (Tuninetti et al 2017), which has been extensively used (Dalin et al 2012, Tuninetti et al 2020, Ma et al 2021, Liu et al 2021b. The method has been demonstrated to be acceptable at a global scale (with a standard deviation of the error of approximately 0.1) (Tuninetti et al 2017) and a national scale (with a difference between the FastTrack and WF assessment manual method within 20% in China) (Gao et al 2020) The total WF of animal products is composed of feed crop WF, which accounts for 98% of the total WF, service water, and drinking water consumed (Mekonnen and Hoekstra 2010). The feed conversion efficiency of the animal, feed composition, and feed origin are predominant in the WF of the animal, and the production system influences these three factors (Mekonnen and Hoekstra 2010).…”
Section: Wf and Lf Accounting Related To Flwmentioning
confidence: 99%
“…The method was tested as valid within 10% of error through a global scale uncertainty analysis (Tuninetti et al, 2017). Gao et al (2020) found that the method has an error of less than 20% at the provincial level in China. The method has the characteristics of low calculation cost and high reliability of results and has been widely used (Gao et al, 2020;Soligno, Malik & Lenzen, 2019, Soligno, Rodolfi & Laio, 2019Tamea et al, 2020;Xie et al, 2020).…”
Section: 𝑎𝑎𝑖𝑖[𝑚𝑚𝑚 𝑚𝑚]mentioning
confidence: 99%
“…The VW consumed and embedded in trade products under the same cases is called unsustainable virtual blue water . Within the WFN framework, Rosa et al (2019) found that 52% of the world's irrigation water is unsustainable, 15% of which is for export; Mekonen and Hoekstra (2020) reported that 57% of the global blue WF of crop production is unsustainable, of which nearly 70% is contributed by the production of wheat, rice, cotton, sugar cane, and fodder; Gao et al (2020) found that the flow of unsustainable virtual blue water related to major crops between provinces in mainland China increased by 8% from 2004 to 2013. For the LCA framework, multiplying the blue WF with the local WS index obtains the water scarcity footprint (WSF; ISO, 2014;Pfister et al, 2009;Ridoutt & Pfister, 2013), and the corresponding VW export is scarce weighted VW (SVW; Lenzen et al, 2013).…”
mentioning
confidence: 99%
“…Previous findings clearly reported negative effects of virtual water trade on local water resources, which also deepens our concerns on inter-provincial virtual water trade in China. Researchers highlighted that policy-makers should consider the potential environmental externalities when designing virtual water trade policy [28][29][30]. However, to the best of our knowledge, limited studies considered the difference between water withdrawal under trade and no-trade.…”
Section: Introductionmentioning
confidence: 99%