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Inter-Industry Transfer of Intermediate Virtual Water Scarcity Risk: The Case of China

Author

Listed:
  • Xin’er Ning

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Yanjun Zhang

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Hongbo Xu

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Wenxun Dong

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Yuanxin Song

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Liping Zhang

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

Abstract

Multiple factors need to be considered when allocating water resources, among which water scarcity risk is often ignored. However, the unmet water demand of upstream sectors with high water dependency will exacerbate water scarcity, and lead to potential economic risk to the industrial chain. To solve it, we propose a method to quantify the intermediate virtual water scarcity risk transfer via the intermediate use matrix and Leontief inverse matrix, and apply it to virtual water trade in China in 2018. Meaningful conclusions are drawn as follows: (i) Although the water-use efficiency of all sectors in China increased steadily from 2007 to 2018, the overall input concentration of virtual water scarcity risk showed a rising trend, reflecting the gradual increase in the vulnerability of the industrial chain to water shortage. (ii) The virtual water scarcity risk in China mainly transferred through the secondary industry. The secondary industry accounted for 51.8% of the output and 71.8% of the input in the intermediate virtual water transfer, while 77.0% and 74.7%, respectively, in intermediate virtual water scarcity risk output and input. (iii) From 2007 to 2018, agriculture, chemical industry, metallurgy, electricity and heat supply always ranked as the top four of intermediate virtual water scarcity risk output sectors. As their downstream sectors, the construction industry, metallurgy, and other services are stable within the top four input sectors. (iv) The virtual water scarcity risk upstream transmitted is significantly dispersed after the intermediate inputs process, indicating that abundant import relationships are conducive to reduce the risk taken in. From the perspective of intermediate input, this paper argues that it is necessary to both ensure the water supply of the upstream source sectors and disperse the downstream import sources. Moreover, enriching industrial structures and closing production linkages between sectors is also beneficial for promoting sustainable economic development.

Suggested Citation

  • Xin’er Ning & Yanjun Zhang & Hongbo Xu & Wenxun Dong & Yuanxin Song & Liping Zhang, 2023. "Inter-Industry Transfer of Intermediate Virtual Water Scarcity Risk: The Case of China," Sustainability, MDPI, vol. 15(3), pages 1-19, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2658-:d:1054616
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    References listed on IDEAS

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    1. Xuebing Yao & Xu Tang & Arash Farnoosh & Cuiyang Feng, 2021. "Quantifying virtual water scarcity risk transfers of energy system in China," Working Papers hal-03206609, HAL.
    2. Duarte, Rosa & Sanchez-Choliz, Julio & Bielsa, Jorge, 2002. "Water use in the Spanish economy: an input-output approach," Ecological Economics, Elsevier, vol. 43(1), pages 71-85, November.
    3. Zhao, X. & Chen, B. & Yang, Z.F., 2009. "National water footprint in an input–output framework—A case study of China 2002," Ecological Modelling, Elsevier, vol. 220(2), pages 245-253.
    4. Markusen, James R, 1989. "Trade in Producer Services and in Other Specialized Intermediate Inputs," American Economic Review, American Economic Association, vol. 79(1), pages 85-95, March.
    5. Lenzen, Manfred & Moran, Daniel & Bhaduri, Anik & Kanemoto, Keiichiro & Bekchanov, Maksud & Geschke, Arne & Foran, Barney, 2013. "International trade of scarce water," Ecological Economics, Elsevier, vol. 94(C), pages 78-85.
    6. Arjen Y. Hoekstra, 2014. "Water scarcity challenges to business," Nature Climate Change, Nature, vol. 4(5), pages 318-320, May.
    7. Guan, Dabo & Hubacek, Klaus, 2007. "Assessment of regional trade and virtual water flows in China," Ecological Economics, Elsevier, vol. 61(1), pages 159-170, February.
    8. Alina Petronela Alexoaei & Valentin Cojanu & Cristiana-Ioana Coman, 2021. "On Sustainable Consumption: The Implications of Trade in Virtual Water for the EU’s Food Security," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    9. Hongwei Huang & Shan Jiang & Xuerui Gao & Yong Zhao & Lixing Lin & Jichao Wang & Xinxueqi Han, 2022. "The Temporal Evolution of Physical Water Consumption and Virtual Water Flow in Beijing, China," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
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