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Invisible Effect of Virtual Water Transfer on Water Quantity Conflict in Transboundary Rivers—Taking Ili River as a Case

Author

Listed:
  • Xia Xu

    (Architectural Engineering School, Tongling University, Tongling 244000, China)

  • Fengping Wu

    (Business School, Hohai University, Nanjing 211100, China)

  • Qianwen Yu

    (Business School, Suzhou University of Science and Technology, Suzhou 215009, China)

  • Xiangnan Chen

    (Business School, Hohai University, Nanjing 211100, China)

  • Yue Zhao

    (Business School, Hohai University, Nanjing 211100, China)

Abstract

Water stress in countries within a drainage basin exacerbates the water quantity conflict in transboundary rivers. However, few studies considered the invisible effect of virtual water transfer on water quantity conflict by intensifying water stress. Therefore, this study, with Ili River as the case, collects data on Virtual Water Trade (VWT) from 1990 to 2015, uses water stress index (WSI) to assess water stress values under two scenarios (with or without virtual water transfer), and takes Grey Verhulst Model to predict two scenarios water stress values respectively. Next, based on the Levenberg—Marquardt (LM) Algorithm, this study compares the water quantity conflict intensity of the two scenarios, and further explores the invisible effect of virtual water transfer on the conflicts among transboundary rivers. Results show: (1) During the study period (1990–2015), water stress in China and Kazakhstan along the banks of Ili River increased in general. (2) China was basically a net exporter of virtual water during 1990–1995, and Kazakhstan became a net exporter after 1995. (3) During 2020–2025, water conflict value of Ili River without virtual water transfer is 0.458, while the value rises to 0.622 with virtual water transfer, indicating that virtual water transfer between China and Kazakhstan has an invisible enhancement on the water quantity conflict of Ili River. (4) The intensified water quantity conflict is mainly caused by the more and more serious water stress in Kazakhstan. On such basis, it is more urgent for Kazakhstan to restructure its economy and trade.

Suggested Citation

  • Xia Xu & Fengping Wu & Qianwen Yu & Xiangnan Chen & Yue Zhao, 2022. "Invisible Effect of Virtual Water Transfer on Water Quantity Conflict in Transboundary Rivers—Taking Ili River as a Case," IJERPH, MDPI, vol. 19(15), pages 1-25, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:8917-:d:869382
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    References listed on IDEAS

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    1. M. Antonelli & R. Roson & M. Sartori, 2012. "Systemic Input-Output Computation of Green and Blue Virtual Water ‘Flows’ with an Illustration for the Mediterranean Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4133-4146, November.
    2. Hanfei Wu & Ruochen Jin & Ao Liu & Shiyun Jiang & Li Chai, 2022. "Savings and Losses of Scarce Virtual Water in the International Trade of Wheat, Maize, and Rice," IJERPH, MDPI, vol. 19(7), pages 1-12, March.
    3. Enrico De Angelis & Rodolfo Metulini & Vincenzo Bove & Massimo Riccaboni, 2017. "Virtual Water Trade and Bilateral Conflicts," Working Papers 02/2017, IMT School for Advanced Studies Lucca, revised Jan 2017.
    4. Vesco, Paola & Dasgupta, Shouro & De Cian, Enrica & Carraro, Carlo, 2020. "Natural resources and conflict: A meta-analysis of the empirical literature," Ecological Economics, Elsevier, vol. 172(C).
    5. Ufuk Beyaztas & Hanlin Shang, 2022. "Machine-Learning-Based Functional Time Series Forecasting: Application to Age-Specific Mortality Rates," Forecasting, MDPI, vol. 4(1), pages 1-15, March.
    6. Erik Dietzenbacher & Esther Velazquez, 2007. "Analysing Andalusian Virtual Water Trade in an Input-Output Framework," Regional Studies, Taylor & Francis Journals, vol. 41(2), pages 185-196.
    7. N. Gunasekara & S. Kazama & D. Yamazaki & T. Oki, 2014. "Water Conflict Risk due to Water Resource Availability and Unequal Distribution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 169-184, January.
    8. Chittaranjan Ray & David McInnes & Matthew Sanderson, 2018. "Virtual water: its implications on agriculture and trade," Water International, Taylor & Francis Journals, vol. 43(6), pages 717-730, August.
    9. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
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