Matches in SemOpenAlex for { <https://semopenalex.org/work/W2032167419> ?p ?o ?g. }
- W2032167419 endingPage "7713" @default.
- W2032167419 startingPage "7704" @default.
- W2032167419 abstract "Water footprints and virtual water flows have been promoted as important indicators to characterize human-induced water consumption. However, environmental impacts associated with water consumption are largely neglected in these analyses. Incorporating water scarcity into water consumption allows better understanding of what is causing water scarcity and which regions are suffering from it. In this study, we incorporate water scarcity and ecosystem impacts into multiregional input-output analysis to assess virtual water flows and associated impacts among 30 provinces in China. China, in particular its water-scarce regions, are facing a serious water crisis driven by rapid economic growth. Our findings show that inter-regional flows of virtual water reveal additional insights when water scarcity is taken into account. Consumption in highly developed coastal provinces is largely relying on water resources in the water-scarce northern provinces, such as Xinjiang, Hebei, and Inner Mongolia, thus significantly contributing to the water scarcity in these regions. In addition, many highly developed but water scarce regions, such as Shanghai, Beijing, and Tianjin, are already large importers of net virtual water at the expense of water resource depletion in other water scarce provinces. Thus, increasingly importing water-intensive goods from other water-scarce regions may just shift the pressure to other regions, but the overall water problems may still remain. Using the water footprint as a policy tool to alleviate water shortage may only work when water scarcity is taken into account and virtual water flows from water-poor regions are identified." @default.
- W2032167419 created "2016-06-24" @default.
- W2032167419 creator A5024627947 @default.
- W2032167419 creator A5037791977 @default.
- W2032167419 creator A5049493168 @default.
- W2032167419 creator A5052086909 @default.
- W2032167419 creator A5082646301 @default.
- W2032167419 date "2014-06-23" @default.
- W2032167419 modified "2023-10-03" @default.
- W2032167419 title "Virtual Scarce Water in China" @default.
- W2032167419 cites W1590488950 @default.
- W2032167419 cites W1965555121 @default.
- W2032167419 cites W1968468393 @default.
- W2032167419 cites W1980994145 @default.
- W2032167419 cites W1986353520 @default.
- W2032167419 cites W2007546065 @default.
- W2032167419 cites W2018474251 @default.
- W2032167419 cites W2024137547 @default.
- W2032167419 cites W2038498664 @default.
- W2032167419 cites W2041140132 @default.
- W2032167419 cites W2041454720 @default.
- W2032167419 cites W2041776077 @default.
- W2032167419 cites W2043034246 @default.
- W2032167419 cites W2048298219 @default.
- W2032167419 cites W2060529958 @default.
- W2032167419 cites W2062797837 @default.
- W2032167419 cites W2076008641 @default.
- W2032167419 cites W2079050236 @default.
- W2032167419 cites W2082304167 @default.
- W2032167419 cites W2088278268 @default.
- W2032167419 cites W2093027911 @default.
- W2032167419 cites W2093219469 @default.
- W2032167419 cites W2106009722 @default.
- W2032167419 cites W2106298853 @default.
- W2032167419 cites W2117441574 @default.
- W2032167419 cites W2126205604 @default.
- W2032167419 cites W2157325458 @default.
- W2032167419 cites W2162141368 @default.
- W2032167419 cites W2163045437 @default.
- W2032167419 cites W2163483319 @default.
- W2032167419 cites W2163791237 @default.
- W2032167419 cites W2461441799 @default.
- W2032167419 cites W2748283138 @default.
- W2032167419 cites W4242023185 @default.
- W2032167419 doi "https://doi.org/10.1021/es500502q" @default.
- W2032167419 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24922282" @default.
- W2032167419 hasPublicationYear "2014" @default.
- W2032167419 type Work @default.
- W2032167419 sameAs 2032167419 @default.
- W2032167419 citedByCount "226" @default.
- W2032167419 countsByYear W20321674192014 @default.
- W2032167419 countsByYear W20321674192015 @default.
- W2032167419 countsByYear W20321674192016 @default.
- W2032167419 countsByYear W20321674192017 @default.
- W2032167419 countsByYear W20321674192018 @default.
- W2032167419 countsByYear W20321674192019 @default.
- W2032167419 countsByYear W20321674192020 @default.
- W2032167419 countsByYear W20321674192021 @default.
- W2032167419 countsByYear W20321674192022 @default.
- W2032167419 countsByYear W20321674192023 @default.
- W2032167419 crossrefType "journal-article" @default.
- W2032167419 hasAuthorship W2032167419A5024627947 @default.
- W2032167419 hasAuthorship W2032167419A5037791977 @default.
- W2032167419 hasAuthorship W2032167419A5049493168 @default.
- W2032167419 hasAuthorship W2032167419A5052086909 @default.
- W2032167419 hasAuthorship W2032167419A5082646301 @default.
- W2032167419 hasConcept C109747225 @default.
- W2032167419 hasConcept C110158866 @default.
- W2032167419 hasConcept C149207113 @default.
- W2032167419 hasConcept C153823671 @default.
- W2032167419 hasConcept C162324750 @default.
- W2032167419 hasConcept C166957645 @default.
- W2032167419 hasConcept C175444787 @default.
- W2032167419 hasConcept C175605778 @default.
- W2032167419 hasConcept C18903297 @default.
- W2032167419 hasConcept C191935318 @default.
- W2032167419 hasConcept C205649164 @default.
- W2032167419 hasConcept C2776121688 @default.
- W2032167419 hasConcept C39432304 @default.
- W2032167419 hasConcept C51193700 @default.
- W2032167419 hasConcept C524765639 @default.
- W2032167419 hasConcept C86803240 @default.
- W2032167419 hasConceptScore W2032167419C109747225 @default.
- W2032167419 hasConceptScore W2032167419C110158866 @default.
- W2032167419 hasConceptScore W2032167419C149207113 @default.
- W2032167419 hasConceptScore W2032167419C153823671 @default.
- W2032167419 hasConceptScore W2032167419C162324750 @default.
- W2032167419 hasConceptScore W2032167419C166957645 @default.
- W2032167419 hasConceptScore W2032167419C175444787 @default.
- W2032167419 hasConceptScore W2032167419C175605778 @default.
- W2032167419 hasConceptScore W2032167419C18903297 @default.
- W2032167419 hasConceptScore W2032167419C191935318 @default.
- W2032167419 hasConceptScore W2032167419C205649164 @default.
- W2032167419 hasConceptScore W2032167419C2776121688 @default.
- W2032167419 hasConceptScore W2032167419C39432304 @default.
- W2032167419 hasConceptScore W2032167419C51193700 @default.
- W2032167419 hasConceptScore W2032167419C524765639 @default.
- W2032167419 hasConceptScore W2032167419C86803240 @default.