Spillover of Water Scarcity Risk through Virtual Water Trade in Rapidly Urbanizing Drylands
Penghui Li , Chunyang He , Qingxu Huang , Yida Wang , Yixuan Zhao
International Journal of Disaster Risk Science ›› 2025, Vol. 16 ›› Issue (4) : 618 -635.
Spillover of Water Scarcity Risk through Virtual Water Trade in Rapidly Urbanizing Drylands
Virtual water trade plays a pivotal role in alleviating water scarcity in rapidly urbanizing drylands, and accurately assessing the spillover of local water scarcity pressure to other regions through such trade is essential for sustainable development in these areas. However, systematic research on the spillover of water scarcity risks through virtual water trade and its transmission pathways in arid and semi-arid regions remains relatively limited. Taking the Hohhot-Baotou-Ordos-Yulin (HBOY) urban agglomeration as an example, this study integrated the multi-regional input-output model and structural path analysis to assess the spillover of water scarcity risk through virtual water trade and trace key transmission paths. We found that over 90% of HBOY’s water scarcity risk was transferred to regions experiencing severe or extreme water stress. Spatially, Inner Mongolia and Ningxia were the primary recipients, absorbing 37.2% and 14.5% of HBOY’s total spillover of water scarcity risk, respectively. Sectorally, 62.0% of the risk spillover originated from HBOY’s agriculture, light industry, and construction sectors and was passed to the agricultural sector in external regions. The most important risk transmission path was from HBOY’s agriculture to Inner Mongolia’s agriculture, accounting for 18.3% of HBOY’s total risk spillover. Additionally, potential loss due to insufficient external virtual water supply constituted nearly one-third of HBOY’s total economic loss from water scarcity. We recommend that rapidly urbanizing drylands and their trade partners should actively develop a cross-regional collaborative management system to mitigate the adverse effects of risk spillover.
Multi-regional input-output / Rapidly urbanizing drylands / Spillover of water scarcity risk / Structural path analysis / Virtual water trade
| [1] |
Allan, J.A. 1993. Fortunately there are substitutes for water otherwise our hydro-political futures would be impossible. In Priorities for water resources allocation and management, 13–26. London: Overseas Development Administration. |
| [2] |
|
| [3] |
Cai, B., K. Feng, W. Zhang, Y. Liu, F. Wang, and K. Hubacek. 2024. Mitigating trade-driven water scarcity via water-saving irrigation in China: Different role of surface water and groundwater. Resources, Conservation and Recycling 205: Article 107570. |
| [4] |
Cao, X., Y. Bao, Y. Li, J. Li, and M. Wu. 2023. Unravelling the effects of crop blue, green and grey virtual water flows on regional agricultural water footprint and scarcity. Agricultural Water Management 278: Article 108165. |
| [5] |
Chen, Y., K. Huang, J. Hu, Y. Yu, L. Wu, and T. Hu. 2021. Understanding the two-way virtual water transfer in urban agglomeration: A new perspective from spillover-feedback effects. Journal of Cleaner Production 310: Article 127495. |
| [6] |
Chen, X., B. Zhao, C. Shuai, S. Qu, and M. Xu. 2022. Global spread of water scarcity risk through trade. Resources, Conservation and Recycling 187: Article 106643. |
| [7] |
Du, Y., K. Fang, D. Zhao, Q. Liu, Z. Xu, and J. Peng. 2022. How far are we from possible ideal virtual water transfer? Evidence from assessing vulnerability of global virtual water trade. Science of the Total Environment 828: Article 154493. |
| [8] |
|
| [9] |
|
| [10] |
Fu, Z., S. Sun, and C. Fang. 2024. Unequal prefecture-level water footprints in China: The urban-rural divide. Science of the Total Environment 912: Article 169089. |
| [11] |
GOSC (General Office of the State Council of the People’s Republic of China). 2012. Opinions on implementing the strictest water resources management system. https://www.gov.cn/gongbao/content/2012/content_2076102.htm. Accessed 6 Aug 2024. |
| [12] |
Hou, J., Z. Wang, J. Zhang, S. Yu, and L. Liu. 2022. Revealing energy and water hidden in Chinese regional critical carbon supply chains. Energy Policy 165: Article 112979. |
| [13] |
Hu, J., K. Huang, B.G. Ridoutt, Y. Yu, and M. Xu. 2019. Measuring integrated environmental footprint transfers in China: A new perspective on spillover-feedback effects. Journal of Cleaner Production 241: Article 118375. |
| [14] |
Huang, W., C. Shuai, P. Xiang, X. Chen, and B. Zhao. 2024. Mapping water scarcity risk in China with the consideration of spatially heterogeneous environmental flow requirement. Environmental Impact Assessment Review 105: Article 107400. |
| [15] |
Ji, X., D. Xie, L. Zhuo, Y. Liu, B. Feng, and P. Wu. 2022. Water footprints, intra-national virtual water flows, and associated sustainability related to pork production and consumption: A case for China. Water Resources Research 58(1): Article e2021WR029809. |
| [16] |
|
| [17] |
|
| [18] |
Li, H., Q. Chen, G. Liu, G.V. Lombardi, M. Su, and Z. Yang. 2023. Uncovering the risk spillover of agricultural water scarcity by simultaneously considering water quality and quantity. Journal of Environmental Management 343: Article 118209. |
| [19] |
Li, P., C. He, Q. Huang, Y. Wang, and X. Duan. 2024. Metacoupling flow of embodied carbon in resource-based cities: A case study of Hohhot-Baotou-Ordos-Yulin urban agglomeration in China. Energy 313: Article 134041. |
| [20] |
Li, K., S. Liang, Y. Liang, C. Feng, J. Qi, L. Xu, and Z. Yang. 2021. Mapping spatial supply chain paths for embodied water flows driven by food demand in China. Science of the Total Environment 786: Article 147480. |
| [21] |
Li, M., Q. Tian, Y. Yu, Y. Xu, and C. Li. 2021. Virtual water trade in the Yellow River economic belt: A multi-regional input-output model. Water 13(6): Article 748. |
| [22] |
Li, Z., Y. Zhou, K. Li, H. Xiao, and Y. Cai. 2021. The spatial effects of city-level water-energy nexus: A case study of Hebei Province, China. Journal of Cleaner Production 310: Aritcle 127497. |
| [23] |
Liu, Y., and Y. Song. 2024. Does artificial ecosystem recharge make sense? Based on the coupled water orbit research framework. Ecological Indicators 166: Article 112496. |
| [24] |
Liu, Z., Q. Huang, C. He, C. Wang, Y. Wang, and K. Li. 2021. Water-energy nexus within urban agglomeration: An assessment framework combining the multiregional input-output model, virtual water, and embodied energy. Resources, Conservation and Recycling 164: Article 105113. |
| [25] |
|
| [26] |
Lu, Z., Y. Geng, W. Li, and R. Yue. 2024. Integrating spatial carbon factors into ecological network construction in an energy-intensive megaregion toward multi-objective synergy in northern China. Environmental Impact Assessment Review 106: Article 107480. |
| [27] |
|
| [28] |
Malik, A., G. Lafortune, S. Carter, M. Li, M. Lenzen, and C. Kroll. 2021. International spillover effects in the EU’s textile supply chains: A global SDG assessment. Journal of Environmental Management 295: Article 113037. |
| [29] |
MEA (The Millennium Ecosystem Assessment)Ecosystems and human well-being: Synthesis, 2005, Washington, DC. Island Press. |
| [30] |
|
| [31] |
|
| [32] |
MOF (Ministry of Finance of the People’s Republic of China). 2024. Horizontal ecological compensation promotes win-win situation for both upstream and downstream regions. https://www.mof.gov.cn/zhengwuxinxi/caijingshidian/jjrb/202401/t20240130_3927698.htm. Accessed 6 Mar 2025. |
| [33] |
NDRC (National Development and Reform Commission of the People’s Republic of China). 2018. Development plan for the Hohhot-Baotou-Ordos-Yulin urban agglomeration. http://www.gov.cn/xinwen/2018-03/07/5271788/files/d186cc88913b48039197494c40773021.pdf/. Accessed 9 Nov 2022. |
| [34] |
NDRC (National Development and Reform Commission of the People’s Republic of China). 2023. Opinions on further strengthening the economical and intensive use of water resources. https://www.gov.cn/zhengce/zhengceku/202309/content_6906203.htm. Accessed 8 Aug 2024. |
| [35] |
Qi, T., Q. Ren, D. Zhang, W. Lu, and C. He. 2023. Impacts of urban expansion on vegetation in drylands: A multiscale analysis based on the vegetation disturbance index. Ecological Indicators 147: Article 109984. |
| [36] |
Qian, Y., H. Zheng, J. Meng, Y. Shan, Y. Zhou, and D. Guan. 2022. Large inter-city inequality in consumption-based CO2 emissions for China’s Pearl River Basin cities. Resources, Conservation and Recycling 176: Article 105923. |
| [37] |
|
| [38] |
|
| [39] |
Shen, S., Y. Jiang, and C. Cheng. 2024. Inversed virtual water flow pattern and its influencing factors in Northwest China. Ecological Indicators 158: Article 111340. |
| [40] |
Shen, J., P. Yi, X. Zhang, Y. Yang, J. Fang, and Y. Chi. 2023. Can water conservation and energy conservation be promoted simultaneously in China? Energy 278: Article 127893. |
| [41] |
Shu, J., Y. Bai, Q. Chen, C. Weng, and F. Zhang. 2024. Dynamic simulation of the water-land-food nexus for the sustainable agricultural development in the North China Plain. Science of the Total Environment 912: Article 168771. |
| [42] |
Song, S., Z. Liu, C. He, and W. Lu. 2020. Evaluating the effects of urban expansion on natural habitat quality by coupling localized shared socioeconomic pathways and the land use scenario dynamics-urban model. Ecological Indicators 112: Article 106071. |
| [43] |
|
| [44] |
|
| [45] |
Sun, Y., C. Li, and Y. Sheng. 2022. Effects of virtual water strategy on water conservation and socioeconomic development in water-scare regions. Journal of Cleaner Production 368: Article 133152. |
| [46] |
Tang, J., L. Zhou, X. Dang, F. Hu, B. Yuan, Z. Yuan, and L. Wei. 2023. Impacts and predictions of urban expansion on habitat quality in the densely populated areas: A case study of the Yellow River Basin, China. Ecological Indicators 151: Article 110320. |
| [47] |
Vanham, D., A. Leip, A. Galli, T. Kastner, M. Bruckner, A. Uwizeye, K. van Dijk, E. Ercin, et al. 2019. Environmental footprint family to address local to planetary sustainability and deliver on the SDGs. Science of the Total Environment 693: Article 133642. |
| [48] |
Wang, S., T. Cao, and B. Chen. 2021. Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China. Applied Energy 299: Article 117294. |
| [49] |
Water Resources Department of Inner Mongolia Autonomous Region. 2023. Water resources bulletin of Inner Mongolia Autonomous Region in 2022. https://slt.nmg.gov.cn/xxgk/zfxxgkzl/fdzdgknr/gbxx/202309/t20230911_2376734.html. Accessed 9 Sept 2024. |
| [50] |
|
| [51] |
Wen, F., X. Fang, R. Khanal, and M. An. 2023. The effect of sectoral differentiated water tariff adjustment on the water saving from water footprint perspective: A case study of Henan Province in China. Journal of Cleaner Production 393: Article 136152. |
| [52] |
Wu, L., K. Huang, Y. Ren, Y. Yu, and B. Huang. 2022. Toward a better understanding of virtual water trade: Comparing the volumetric and impact-oriented virtual water transfers in China. Resources, Conservation and Recycling 186: Article 106573. |
| [53] |
Xia, C., H. Zheng, J. Meng, S. Li, P. Du, and Y. Shan. 2022. The evolution of carbon footprint in the Yangtze River Delta city cluster during economic transition 2012–2015. Resources, Conservation and Recycling 181: Article 106266. |
| [54] |
Xing, Z., Z. Jiao, and H. Wang. 2022. Carbon footprint and embodied carbon transfer at city level: A nested MRIO analysis of Central Plain urban agglomeration in China. Sustainable Cities and Society 83: Article 103977. |
| [55] |
Yang, Y., and Y. Zhang. 2023. Analysis of the coupling process and the influencing factors of the “water-energy-carbon” relationship in the Hohhot-Baotou-Ordos-Yulin resource-based urban agglomeration. China Environmental Science 43(11): Article 13. |
| [56] |
Yang, H., Y. Wang, B. Peng, X. Zhang, and H. Zou. 2024. Re-examining virtual water transfer in the Yellow River Basin, China. Journal of Hydrology: Regional Studies 56: Article 101971. |
| [57] |
Yu, J., Q. Xian, S. Cheng, and J. Chen. 2024. Horizontal ecological compensation policy and water pollution governance: Evidence from cross-border cooperation in China. Environmental Impact Assessment Review 105: Article 107367. |
| [58] |
Yulin Water Conservancy Bureau. 2023. Water resources bulletin of Yulin City in 2022. https://slj.yl.gov.cn/zfxxgk/fdzdgknr/zdlyxx/202312/P020240614469158015445.pdf/. Accessed 9 Sept 2024. |
| [59] |
|
| [60] |
Zhang, W., X. Fan, Y. Liu, S. Wang, and B. Chen. 2020. Spillover risk analysis of virtual water trade based on multi-regional input-output model – A case study. Journal of Environmental Management 275: Article 111242. |
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
Zhang, Z., Y. Shan, D. Zhao, M.R. Tillotson, B. Cai, X. Li, H. Zheng, C. Zhao, et al. 2024. City level water withdrawal and scarcity accounts of China. Scientific Data 11: Article 449. |
| [66] |
|
| [67] |
Zhao, X., Y. Li, H. Yang, W. Liu, M.R. Tillotson, D. Guan, Y. Yi, and H. Wang. 2018. Measuring scarce water saving from interregional virtual water flows in China. Environmental Research Letters 13: Article 054012. |
| [68] |
|
| [69] |
Zhao, M., Y. Zhou, J. Meng, H. Zheng, Y. Cai, Y. Shan, D. Guan, and Z. Yang. 2021. Virtual carbon and water flows embodied in global fashion trade – A case study of denim products. Journal of Cleaner Production 303: Article 127080. |
| [70] |
|
| [71] |
|
| [72] |
Zhi, Y., P.B. Hamilton, G. Wu, N. Hong, L. Liang, D. Xiong, and Y. Sun. 2022. Virtual water indicator for comprehensive water pressures: Model and case studies. Journal of Hydrology 608: Article 127664. |
| [73] |
Zhu, M., J. Wang, J. Zhang, and Z. Xing. 2022. The impact of virtual water trade on urban water scarcity: A nested MRIO analysis of Yangtze River Delta cities in China. Journal of Cleaner Production 381: Article 135165. |
The Author(s)
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