Matches in SemOpenAlex for { <https://semopenalex.org/work/W4323537371> ?p ?o ?g. }
- W4323537371 endingPage "104966" @default.
- W4323537371 startingPage "104966" @default.
- W4323537371 abstract "The water footprint theory was used to analyze the agricultural water footprint (AWF) and its spatiotemporal characteristics in the Hexi corridor, Northwest of China from 2002 to 2017. The AWF increased during 2002–2017. Meanwhile, the water footprint of cash crops rapidly increased from 10.08 billion m3 to 100.94 billion m3; however, the water footprint of grain production increased slowly and remained relatively stable. There were great differences in the water footprint of various agricultural products in twenty counties in the Hexi corridor. Furthermore, this study explored the equilibrium relationship between the gross domestic product (GDP), population, grain yield, fertilization, urbanization rate, and AWF using the Panel Pool Mean Group and autoregressive distributive lag (PMG/ARDL) model. Our findings demonstrated that economic growth, grain yield, and fertilization had a significant positive relationship with AWF, and population and the urbanization rate had a negative long-run but non-significant relationship with AWF. The panel causality analysis showed a one-way causal relationship between the AWF with population and urbanization rate. The grain yield, the rate of urbanization, and fertilization in the Hexi corridor need further improvements to ensure the sustainable development of water resources." @default.
- W4323537371 created "2023-03-09" @default.
- W4323537371 creator A5004454316 @default.
- W4323537371 creator A5009733164 @default.
- W4323537371 creator A5025290467 @default.
- W4323537371 creator A5026388114 @default.
- W4323537371 creator A5062456103 @default.
- W4323537371 creator A5066950089 @default.
- W4323537371 creator A5078880159 @default.
- W4323537371 creator A5090102419 @default.
- W4323537371 date "2023-06-01" @default.
- W4323537371 modified "2023-10-01" @default.
- W4323537371 title "Spatiotemporal changes of agricultural water footprint and its driving factors using the ARDL model in the Hexi corridor, China" @default.
- W4323537371 cites W1160808132 @default.
- W4323537371 cites W1596874298 @default.
- W4323537371 cites W1966910378 @default.
- W4323537371 cites W1976042966 @default.
- W4323537371 cites W2016531657 @default.
- W4323537371 cites W2023668736 @default.
- W4323537371 cites W2055136394 @default.
- W4323537371 cites W2067474136 @default.
- W4323537371 cites W2073445240 @default.
- W4323537371 cites W2096829520 @default.
- W4323537371 cites W2106298853 @default.
- W4323537371 cites W2120214524 @default.
- W4323537371 cites W2121598349 @default.
- W4323537371 cites W2131632483 @default.
- W4323537371 cites W2140811232 @default.
- W4323537371 cites W2153745732 @default.
- W4323537371 cites W2166039719 @default.
- W4323537371 cites W2254709541 @default.
- W4323537371 cites W2260274902 @default.
- W4323537371 cites W2307440236 @default.
- W4323537371 cites W2483805006 @default.
- W4323537371 cites W2551807477 @default.
- W4323537371 cites W2605993057 @default.
- W4323537371 cites W2739882222 @default.
- W4323537371 cites W2769736425 @default.
- W4323537371 cites W2771899389 @default.
- W4323537371 cites W2794426763 @default.
- W4323537371 cites W2794836418 @default.
- W4323537371 cites W2802982948 @default.
- W4323537371 cites W2882908284 @default.
- W4323537371 cites W2885610729 @default.
- W4323537371 cites W2887273712 @default.
- W4323537371 cites W2889895710 @default.
- W4323537371 cites W2898304219 @default.
- W4323537371 cites W2898966900 @default.
- W4323537371 cites W2899813998 @default.
- W4323537371 cites W2902514561 @default.
- W4323537371 cites W2904863468 @default.
- W4323537371 cites W2907072371 @default.
- W4323537371 cites W2921661126 @default.
- W4323537371 cites W2925118465 @default.
- W4323537371 cites W2940520838 @default.
- W4323537371 cites W2945747489 @default.
- W4323537371 cites W2952619441 @default.
- W4323537371 cites W2955819498 @default.
- W4323537371 cites W3025642659 @default.
- W4323537371 cites W3046983588 @default.
- W4323537371 cites W3093716049 @default.
- W4323537371 cites W3129949038 @default.
- W4323537371 cites W3133720030 @default.
- W4323537371 cites W3135408947 @default.
- W4323537371 cites W4205556193 @default.
- W4323537371 cites W4282958826 @default.
- W4323537371 doi "https://doi.org/10.1016/j.jaridenv.2023.104966" @default.
- W4323537371 hasPublicationYear "2023" @default.
- W4323537371 type Work @default.
- W4323537371 citedByCount "2" @default.
- W4323537371 countsByYear W43235373712023 @default.
- W4323537371 crossrefType "journal-article" @default.
- W4323537371 hasAuthorship W4323537371A5004454316 @default.
- W4323537371 hasAuthorship W4323537371A5009733164 @default.
- W4323537371 hasAuthorship W4323537371A5025290467 @default.
- W4323537371 hasAuthorship W4323537371A5026388114 @default.
- W4323537371 hasAuthorship W4323537371A5062456103 @default.
- W4323537371 hasAuthorship W4323537371A5066950089 @default.
- W4323537371 hasAuthorship W4323537371A5078880159 @default.
- W4323537371 hasAuthorship W4323537371A5090102419 @default.
- W4323537371 hasConcept C118518473 @default.
- W4323537371 hasConcept C144024400 @default.
- W4323537371 hasConcept C149207113 @default.
- W4323537371 hasConcept C149923435 @default.
- W4323537371 hasConcept C162324750 @default.
- W4323537371 hasConcept C166957645 @default.
- W4323537371 hasConcept C205649164 @default.
- W4323537371 hasConcept C2908647359 @default.
- W4323537371 hasConcept C39432304 @default.
- W4323537371 hasConcept C39853841 @default.
- W4323537371 hasConcept C50522688 @default.
- W4323537371 hasConcept C6557445 @default.
- W4323537371 hasConcept C86803240 @default.
- W4323537371 hasConceptScore W4323537371C118518473 @default.
- W4323537371 hasConceptScore W4323537371C144024400 @default.
- W4323537371 hasConceptScore W4323537371C149207113 @default.
- W4323537371 hasConceptScore W4323537371C149923435 @default.
- W4323537371 hasConceptScore W4323537371C162324750 @default.