2020
DOI: 10.1016/j.jclepro.2019.118942
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New patterns in China’s water footprint: Analysis of spatial and structural transitions from a regional perspective

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Cited by 26 publications
(9 citation statements)
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“…We used elasticity analysis to determine those expenditure categories that are more sensitive to pandemic responses, based on the changing influence of expenditure on the water footprint. Elasticity analysis has been used to measure the variation of water footprint and other environmental footprints relative to changes in household expenditure (Ivanova et al., 2015; Xiong et al., 2020). The water footprint elasticity coefficient for expenditure category i was defined as the ratio of the change of consumption‐based household water footprint to the associated economic output within a certain period.…”
Section: Methodsmentioning
confidence: 99%
“…We used elasticity analysis to determine those expenditure categories that are more sensitive to pandemic responses, based on the changing influence of expenditure on the water footprint. Elasticity analysis has been used to measure the variation of water footprint and other environmental footprints relative to changes in household expenditure (Ivanova et al., 2015; Xiong et al., 2020). The water footprint elasticity coefficient for expenditure category i was defined as the ratio of the change of consumption‐based household water footprint to the associated economic output within a certain period.…”
Section: Methodsmentioning
confidence: 99%
“…To provide these goods and services, those regions would use water during the production process. In other words, urbanization may have an unexpected cross-regional water footprint (Xiong et al, 2020). With the improvement in infrastructure and the implementation of domestic and international dual circulation policies, commodities and services will circulate more smoothly, such that the impact of urbanization on the cross-regional water footprint might be magnified, which could affect the regional balance between the supply and demand of water resources, even worsening the regional water scarcity (Zhang et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Hence, to address this problem, we refer to structural decomposition analysis (SDA). SDA is often used to quantify the contribution of socioeconomic factors to environmental variables, such as energy use , carbon emissions (Fang and Yang 2021;Luo et al 2020), virtual water (Feng et al 2017;Sun et al 2019;Xiong et al 2020;Zhang et al 2012), mercury emissions (Guo et al 2019) and other fields (Zhang et al 2021). For example, believe that the growth of economic scale is the main reason for the outflow of industrial embodied wastewater and that the optimization and upgrading of industrial structure can reduce the transfer and discharge of industrial embodied wastewater.…”
Section: Introductionmentioning
confidence: 99%