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Socio-hydrology pathway of grain virtual water flow in China

Author

Listed:
  • Yin, Yali
  • Tong, Jiajun
  • Gu, Jiali
  • Sun, Shikun
  • Sun, Jingxin
  • Zhao, Jinfeng
  • Tang, Yihe
  • Wu, Pute
  • Wang, Yubao
  • Wu, Zhaodan

Abstract

As the world's largest grain producer, China's activities in virtual water trade for grain are particularly noteworthy. The imbalance of grain production and consumption among regions poses challenges to agricultural development and the sustainable use of water resources. Most of the previous research focused on the driving analysis of factors affecting agricultural water use at the production end. It is necessary to further explore the driving factors of virtual water flow (VWF) caused by grain trade on the consumption side, and consider the impact of production and consumption on the entire process of agricultural water use. This study combines the Logarithmic Mean Divisia Index (LMDI) index decomposition method and multiple regression model to analyze the main natural and social driving factors of VWF. The study also initiates the construction of an analytical framework for the dynamic interaction of coupled social hydrology and Metacoupling systems. The results indicate that economic growth is the primary driver behind the increase in VWF. The water intensity effect and industrial structure effect act as constraints on VWF. Notably, water intensity has the most significant negative effect, with contributions of − 118.9 Gm³ and − 192.4 Gm³ to the virtual water output and input areas, respectively. Conversely, the economic, demographic, and dependence effect play a promoting role. Among these, the positive economic effect far exceeds population and dependence effects, contributing 189.7 Gm³ and 231.3 Gm³ to the virtual water output and input areas, respectively. The analytical framework of coupled social hydrology and the dynamic interaction of Metacoupling systems reveals that VWF couples water resources with multiple systems through the production-consumption-pollution chain. Simultaneously, it achieves long-distance interactions across spaces through cross-space VWF, exhibiting socio-hydrological interactions. The input area displays a forward cycle, while the output area exhibits the opposite. These findings can serve as a theoretical reference for controlling grain VWF.

Suggested Citation

  • Yin, Yali & Tong, Jiajun & Gu, Jiali & Sun, Shikun & Sun, Jingxin & Zhao, Jinfeng & Tang, Yihe & Wu, Pute & Wang, Yubao & Wu, Zhaodan, 2024. "Socio-hydrology pathway of grain virtual water flow in China," Agricultural Water Management, Elsevier, vol. 292(C).
    • Handle: RePEc:eee:agiwat:v:292:y:2024:i:c:s0378377423005231
    DOI: 10.1016/j.agwat.2023.108658
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    References listed on IDEAS

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    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Neal T. Graham & Mohamad I. Hejazi & Son H. Kim & Evan G. R. Davies & James A. Edmonds & Fernando Miralles-Wilhelm, 2020. "Future changes in the trading of virtual water," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    3. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    4. Jiali Gu & Shikun Sun & Yubao Wang & Xiaojuan Li & Yali Yin & Jingxin Sun & Xinyu Qi, 2021. "Sociohydrology: An Effective Way to Reveal the Coupled Evolution of Human and Water Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4995-5010, November.
    5. Taozhen Huang & Yan Li & Qiaoliang Zhang & Ahmed Farouk, 2021. "Evolution of China’s Interprovincial Water Flow Network," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-6, October.
    6. Fracasso, Andrea, 2014. "A gravity model of virtual water trade," Ecological Economics, Elsevier, vol. 108(C), pages 215-228.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. Duarte, Rosa & Pinilla, Vicente & Serrano, Ana, 2019. "Long Term Drivers of Global Virtual Water Trade: A Trade Gravity Approach for 1965–2010," Ecological Economics, Elsevier, vol. 156(C), pages 318-326.
    9. Cao, Xinchun & Bao, Yutong & Li, Yueyao & Li, Jianni & Wu, Mengyang, 2023. "Unravelling the effects of crop blue, green and grey virtual water flows on regional agricultural water footprint and scarcity," Agricultural Water Management, Elsevier, vol. 278(C).
    10. Asma Souissi & Nadhem Mtimet & Chokri Thabet & Talel Stambouli & Ali Chebil, 2019. "Impact of food consumption on water footprint and food security in Tunisia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 989-1008, October.
    11. Song, Jianfeng & Yin, Yali & Xu, Hang & Wang, Yubao & Wu, Pute & Sun, Shikun, 2020. "Drivers of domestic grain virtual water flow: A study for China," Agricultural Water Management, Elsevier, vol. 239(C).
    12. Cao, Xinchun & Zeng, Wen & Wu, Mengyang & Guo, Xiangping & Wang, Weiguang, 2020. "Hybrid analytical framework for regional agricultural water resource utilization and efficiency evaluation," Agricultural Water Management, Elsevier, vol. 231(C).
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