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Research on the association of China-US virtual water trade based on hypothesis extraction method

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Abstract

Based on the EORA input–output tables from 2006 to 2016, this paper divided 189 countries in the world into three economies (China, the USA, and other countries) and used the hypothetical extraction method to calculate the virtual water trade volume of the three economies in the Sino-US bilateral trade. Combining with the analysis of the global value chain, the following conclusions were drawn: (1) the virtual water trade volume exported by China and the USA showed an overall increasing trend. The virtual water trade volume exported by the USA was far less than that of China, but more virtual water was transferred through trade. (2) Compared with intermediate products, China’s virtual water exports of final products were larger, but the USA was the opposite. (3) Among the three major industrial sectors, the secondary sector was the largest virtual water export sector in China, but it was the primary sector in the USA that had the largest volume of. (4) Bilateral trade had brought environmental disadvantages to China, but this situation was gradually improving.

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Data availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Notes

  1. Virtual water refers to the quantity of water resources needed in the production of products and services, that is, the virtual water quantity condensed in products and services.

  2. “^”: It refers to diagonalization, and the occurrence of this symbol in the following indicates that the column vector is transformed into a diagonal matrix.

  3. Taking China’s export to the USA as an example, the proportion here is obtained by “the virtual water trade volume of each economy/the sum of the virtual water trade volumes of the three economies.”.

  4. This is based on the value of nominal GDP.

References

  • Ali T, Xie W, Zhu A, Davis KF (2021) Accounting for re-exports substantially reduces China’s virtual water demand through agricultural trade. Environ Res Lett 16(4):045002

    Article  Google Scholar 

  • Allan JA (1993) Fortunately there are substitutes for water otherwise our hydropolitical futures would be impossible. In: ODA, Priorities for Water Resources Allocation and Management. ODA, London. https://www.ircwash.org/sites/default/files/210-93PR-11967.pdf#page=18

  • Antonelli M, Tamea S, Yang H (2017) Intra-EU agricultural trade, virtual water flows and policy implications. Sci Total Environ 587:439–448

    Article  Google Scholar 

  • Chen Z, Chen G (2013) Virtual water accounting for the globalized world economy: national water footprint and international virtual water trade. Ecolindic 28:142–149

    Google Scholar 

  • Dai F, Yang J, Guo H, Sun H (2021) Tracing CO2 emissions in China-US trade: a global value chain perspective. Sci Total Environ 775:145701

    Article  CAS  Google Scholar 

  • Deng G, Wang L, Song Y (2015) Effect of variation of water-use efficiency on structure of virtual water trade-analysis based on input–output model. Water Resour Manag 29(8):2947–2965

    Article  Google Scholar 

  • Deng G, Ma Y, Li X (2016) Regional water footprint evaluation and trend analysis of China—based on interregional input–output model. J Clean Prod 112:4674–4682

    Article  Google Scholar 

  • Deng G, Wang L, Xu X (2018) Linkage effect of virtual water trade in China’s industrial products—based on generalized hypothetical extraction method. Ecolindic 93:1302–1310

    Google Scholar 

  • Deng G, Lu F, Wu L, Xu C (2021) Social network analysis of virtual water trade among major countries in the world. Sci Total Environ 753:142043

    Article  CAS  Google Scholar 

  • Goswami P, Nishad SN (2015) Virtual water trade and time scales for loss of water sustainability: a comparative regional analysis. Sci Rep-UK 5(1):1–11

    Google Scholar 

  • Huang M, Xu C, Wang F, Xiong L, Zhou K (2021) Research on the measurement and influencing factors of implicit water resources in import and export trade from the perspective of global value chains. Water 13(11):1498

    Article  Google Scholar 

  • Jiang W, Marggraf R (2015) Bilateral virtual water trade in agricultural products: a case study of Germany and China. Water Int 40(3):483–498

    Article  Google Scholar 

  • Li H, Qin T, Qiu Y, Cai S, Lei X (2018) Situation analysis of chinas international trade of virtual water. IOP Conf Series Earth and Environ Sci 199(3):032049

    Article  Google Scholar 

  • Liu X, Klemeš JJ, Cucek L, Varbanov PS, Yang S, Qian Y (2015) Export-import of virtual carbon emissions and water flows embodied in international trade. Chem Eng Trans 45:571–576

    Google Scholar 

  • Liu X, Peng R, Li J, Wang S, Li X, Guo P, Li H (2021) Energy and water embodied in China–US trade: regional disparities and drivers. J Clean Prod 328:129460

    Article  Google Scholar 

  • Nishad SN, Kumar N (2022) Virtual water trade and its implications on water sustainability. Water Supply 22(2):1704–1715

    Article  Google Scholar 

  • Paelinck J, de Caevel J, Degueldre J (1965) Analyse Quantitative de Certaines Phénomènes du Développement Régional Polarisé: Essai de Simulation Statique d’Itéraires de Propagation. In Problèmes de Conversion Économique: Analyses Théoriques et Études Appliquées, Bibliothèque de l’Institut de Science Économique No. 7, 341–87. M.-Th. Génin, Paris

  • Qian Y, Tian X, Geng Y, Zhong S, Cui X, Zhang X, Moss DA, Bleischwitz R (2019) Driving factors of agricultural virtual water trade between China and the Belt and Road countries. Environ Sci Techn 53(10):5877–5886

    Article  CAS  Google Scholar 

  • Strassert G (1968) Zur Bestimmung strategischer Sektoren mit Hilfe von Input-Output-Modellen. Jahrbücher für Nationalökonomie und Statistik 182(3):211–215

    Article  Google Scholar 

  • Sun J, Yin J, Sun S, Wang Y, Yu X, Yan K (2021) Review on research status of virtual water: the perspective of accounting methods, impact assessment and limitation. Agr Water Manage 243:106407

    Article  Google Scholar 

  • Tian P, Lu H, Liu J, Feng K, Heijungs R, Li D, Fan X (2022) The pattern of virtual water transfer in China: from the perspective of the virtual water hypothesis. Jclean Prod 346:131232

    Article  Google Scholar 

  • Wu X, Li Y, Liu J, Huang G, Ding Y, Sun J, Zhang H (2021) Identifying optimal virtual water management strategy for Kazakhstan: a factorial ecologically-extended input-output model. J Environ Manage 297:113303

    Article  CAS  Google Scholar 

  • Xu Y, Tian Q, Yu Y, Li M, Li C (2021) Water-saving efficiency and inequality of virtual water trade in China. Water 13(21):2994

    Article  Google Scholar 

  • Yao X, Tang X, Farnoosh A, Feng C (2021) Quantifying virtual water scarcity risk transfers of energy system in China. Environ Econ Policy Stud 23(4):945–969

    Article  Google Scholar 

  • Zhang Y, Zhang J, Tian Q, Liu Z, Zhang H (2018) Virtual water trade of agricultural products: a new perspective to explore the Belt and Road. Sci Total Environ 622:988–996

    Article  Google Scholar 

  • Zhang Y, Zhang J, Tian Q (2021) Virtual water trade in the service sector: China’s inbound tourism as a case study. Int J Env Res Pub Health 18(4):1769

    Article  Google Scholar 

  • Zhao Y, He G, Wang J, Gao X, Li H, Zhu Y, Jiang S (2020) Water stress assessment integrated with virtual water trade and physical transfer water: a case study of Beijing. China Sci Total Environ 708:134578

    Article  CAS  Google Scholar 

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Funding

This work was supported by the Natural Science Foundation of China under Grant [number 71704070 and 12101279]; the Outstanding Youth Fund of Gansu Province [number 20JR5RA206]; the Gansu Provincial Higher Education Research Project [number2020A-058]; the Double First-class Scientific Research Key Project of Gansu Provincial Department of Education [GSSYLXM-06]; the Key Scientific Research Project of the Silk Road Economic Research Institute of Lanzhou University of Finance and Economics (JYYZ202102); and the Program of Lanzhou University of Finance and Economics under Grant [number Lzufe2021B-002].

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Guangyao Deng, methodology, data curation, writing—original draft. Xiaoyu Qin, data curation, writing—original draft.

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Correspondence to Guangyao Deng.

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Deng, G., Qin, X. Research on the association of China-US virtual water trade based on hypothesis extraction method. Environ Sci Pollut Res 30, 54644–54656 (2023). https://doi.org/10.1007/s11356-023-26237-5

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