中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Water for maize for pigs for pork: An analysis of inter-provincial trade in China

文献类型:期刊论文

作者Zhuo, La1,2; Liu, Yilin1; Yang, Hong3,4; Hoekstra, Arjen Y.5,9; Liu, Wenfeng3,6; Cao, Xinchun7; Wang, Mengru8; Wu, Pute1,2
刊名WATER RESEARCH
出版日期2019-12-01
卷号166页码:15
ISSN号0043-1354
关键词Pork Maize Supply chain Water footprint Virtual water trade
DOI10.1016/j.watres.2019.115074
通讯作者Zhuo, La(zhuola@nwafu.edu.cn) ; Wu, Pute(gjzwpt@vip.sina.com)
英文摘要Trade in commodities implies trade in virtual water (VW), which refers to the water that was used to produce the traded goods. Various studies have quantified international or inter-provincial virtual water (VW) flows related to the trade in crops and animal products. Until date, however, no effort has been undertaken to understand how the water embodied in traded feed crops (trade stage TS1) will be transferred further because of trade in animal products (trade stage TS2). This is the first study showing this mechanism, in a case study in China for maize (the major pig feed) and pork (the dominant meat), considering the period 2000-2013. We estimate the annual green and blue water footprints in maize production and then quantify the inter-provincial VW flows related to trade in maize (TS1) and trade in maize embodied in pork (TS2). Results show that in TS1, maize-related VW flowed from the water-scarce North to the water-rich South, with an increase of 40% over the study period (from 43 to 61 billion m 3 y(-1)). In TS2, about 10% of the water embodied in maize exports from North to South China returns in the form of pork, with an increase in the absolute amount of 25% (from 4.8 to 6.1 billion m 3 y(-1)). Considering blue VW flows specifically, we find that North-to-South blue VW flows decreased by 5% in TS1, while South-to-North blue VW flows increased by 23% in TS2. (C) 2019 The Authors. Published by Elsevier Ltd.
WOS关键词SIMULATE YIELD RESPONSE ; FAO CROP MODEL ; FOOTPRINT REDUCTION ; BLUE ; TRANSFERS ; NITROGEN ; GREEN ; AGRICULTURE ; ALLEVIATION ; SCARCITY
资助项目National Key Research and Development Plan[2018YFF0215702] ; National Natural Science Foundation of China[51809215] ; Natural Science Foundation of Shaanxi Province[2018JQ4020] ; West Light Talent Program of the Chinese Academy of Sciences[XAB20171303] ; 111 Project[B12007]
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Water Resources
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000493221600030
资助机构National Key Research and Development Plan ; National Natural Science Foundation of China ; Natural Science Foundation of Shaanxi Province ; West Light Talent Program of the Chinese Academy of Sciences ; 111 Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/131824]  
专题中国科学院地理科学与资源研究所
通讯作者Zhuo, La; Wu, Pute
作者单位1.Northwest A&F Univ, Yangling 712100, Shaanxi, Peoples R China
2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
3.Eawag, Swiss Fed Inst Aquat Sci & Technol, CH-8600 Dubendorf, Switzerland
4.Univ Basel, MGU, Dept Environm Sci, CH-4003 Basel, Switzerland
5.Univ Twente, Twente Water Ctr, POB 277, NL-7500 AE Enschede, Netherlands
6.Univ Paris Saclay, CEA CNRS UVSQ, LSCE IPSL, Lab Sci Climat & Environm,LSCE IPSL, F-91191 Gif Sur Yvette, France
7.Hohai Univ, Nanjing 210098, Jiangsu, Peoples R China
8.Wageningen Univ & Res, Water Syst & Global Change Grp, NL-6708 PB Wageningen, Netherlands
9.Natl Univ Singapore, Lee Kuan Yew Sch Publ Policy, Inst Water Policy, Singapore 259770, Singapore
推荐引用方式
GB/T 7714
Zhuo, La,Liu, Yilin,Yang, Hong,et al. Water for maize for pigs for pork: An analysis of inter-provincial trade in China[J]. WATER RESEARCH,2019,166:15.
APA Zhuo, La.,Liu, Yilin.,Yang, Hong.,Hoekstra, Arjen Y..,Liu, Wenfeng.,...&Wu, Pute.(2019).Water for maize for pigs for pork: An analysis of inter-provincial trade in China.WATER RESEARCH,166,15.
MLA Zhuo, La,et al."Water for maize for pigs for pork: An analysis of inter-provincial trade in China".WATER RESEARCH 166(2019):15.

入库方式: OAI收割

来源:地理科学与资源研究所

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