Virtual water scarcity risk to global trade under climate change

被引:60
作者
Zhao, Haoran [1 ,2 ]
Qu, Shen [2 ]
Guo, Sen [1 ]
Zhao, Huiru [1 ]
Liang, Sai [3 ]
Xu, Ming [2 ,4 ]
机构
[1] North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China
[2] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA
[3] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China
[4] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
Water scarcity risk; Climate change; Global trade system; Vulnerability assessment; Multi-regional input-output model; GREENHOUSE-GAS EMISSIONS; INPUT-OUTPUT DATABASE; CONSTRUCTION; DEMAND;
D O I
10.1016/j.jclepro.2019.05.114
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC) has concluded that climate change will have significant impacts on global water resources. The risk of production loss due to water scarcity can be transmitted through international trade to distant economies downstream the supply chain. In this research, how climate change may affect the global economy via reducing available water resources in some regions is investigated based on a multi-regional input output (MRIO) model that provides information on the current global economic structure. Key nation sectors with the greatest virtual water scarcity risk (VWSR) exports are identified under two climate change scenarios, including the Agriculture sectors in Syria, Pakistan, Kazakhstan, India, Uzbekistan, Iran, and China. Improving water efficiency in these sectors is essential for increasing the resilience of the global economy against climate change-induced water scarcity. Nation-sectors with the largest VWSR imports are also identified under the two climate change scenarios, including Food & Beverages sectors, Textiles and Wearing Apparel sectors, and Petroleum, Chemical and Non-Metallic Mineral Products sectors in Saudi Arabia, the United States of America, Russia, Germany, Italy, and China. These are the most vulnerable nation-sectors facing the reduction in foreign water resources due to climate change. Additionally, through comparing the change of rankings of VWSR imports, VWSR exports, and LWSRs at country and sector level, the rankings of VWSR exports are relatively close to LWSRs, while the rankings of VWSR imports are quite different from LWSRs. The evaluation demonstrates that nations should cooperatively manage water resources and be aware of the transmission of virtual water scarcity risk through international trade under climate change. Moreover, nation-sectors with high VWSR imports may reduce the reliance on water-intensive products and diversify importing sources, and national governments can encourage residents to change consumption patterns. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1013 / 1026
页数:14
相关论文
共 38 条
  • [1] A MULTI-REGION INPUT-OUTPUT TABLE BASED ON THE GLOBAL TRADE ANALYSIS PROJECT DATABASE (GTAP-MRIO)
    Andrew, Robbie M.
    Peters, Glen P.
    [J]. ECONOMIC SYSTEMS RESEARCH, 2013, 25 (01) : 99 - 121
  • [2] [Anonymous], 2012, World Water Development Report 4
  • [3] Designing water demand management schemes using a socio-technical modelling approach
    Baki, Sotiria
    Rozos, Evangelos
    Makropoulos, Christos
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 622 : 1590 - 1602
  • [5] International virtual water flows from agricultural and livestock products of India
    Brindha, K.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 161 : 922 - 930
  • [6] Dietzenbacher E., 2010, J REGIONAL SCI, V37, P629
  • [7] THE CONSTRUCTION OF WORLD INPUT-OUTPUT TABLES IN THE WIOD PROJECT
    Dietzenbacher, Erik
    Los, Bart
    Stehrer, Robert
    Timmer, Marcel
    de Vries, Gaaitzen
    [J]. ECONOMIC SYSTEMS RESEARCH, 2013, 25 (01) : 71 - 98
  • [8] FALKENMARK M, 1989, AMBIO, V18, P112
  • [9] Virtual Scarce Water in China
    Feng, Kuishuang
    Hubacek, Klaus
    Pfister, Stephan
    Yu, Yang
    Sun, Laixiang
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (14) : 7704 - 7713
  • [10] INPUT-OUTPUT APPROACH IN AN ALLOCATION SYSTEM
    GHOSH, A
    [J]. ECONOMICA, 1958, 25 (97) : 58 - 64